rkward__item_response_theory - en to pt_BR translation catalogue (313 entries)

note: i18n: ectx: (Loaded from IRT parameter estimation: Two parameter logistic model)
en: 2PL parameter estimation
pt_BR: Estimativa de parâmetros 2PL

note: i18n: ectx: (Loaded from IRT parameter estimation: Rasch model) i18n: ectx: (Loaded from IRT parameter estimation: Two parameter logistic model) i18n: ectx: (Loaded from IRT parameter estimation: Birnbaum three parameter model) i18n: ectx: (Loaded from IRT parameter estimation: Linear logistic test 
en: Call:
pt_BR: Chamada:

note: i18n: ectx: (Loaded from IRT parameter estimation: Rasch model) i18n: ectx: (Loaded from IRT parameter estimation: Two parameter logistic model) i18n: ectx: (Loaded from IRT parameter estimation: Birnbaum three parameter model) i18n: ectx: (Loaded from IRT parameter estimation: Linear logistic test 
en: Coefficients:
pt_BR: Coeficientes:

note: i18n: ectx: (Loaded from IRT parameter estimation: Rasch model) i18n: ectx: (Loaded from IRT parameter estimation: Two parameter logistic model) i18n: ectx: (Loaded from IRT parameter estimation: Birnbaum three parameter model) i18n: ectx: (Loaded from IRT parameter estimation: Graded response model
en: Log-likelihood value at convergence:
pt_BR: Valor de semelhança do registro de convergência:

[ctx: R code comment]
note: i18n: ectx: (Loaded from IRT parameter estimation: Rasch model) i18n: ectx: (Loaded from IRT parameter estimation: Two parameter logistic model) i18n: ectx: (Loaded from IRT parameter estimation: Birnbaum three parameter model) i18n: ectx: (Loaded from IRT parameter estimation: Linear logistic test 
en: keep results in current workspace
pt_BR: manter os resultados no espaço de trabalho atual

note: i18n: ectx: (Loaded from IRT parameter estimation: Rasch model) <summary> i18n: ectx: (Loaded from IRT parameter estimation: Two parameter logistic model) <summary> i18n: ectx: (Loaded from IRT parameter estimation: Birnbaum three parameter model) <summary> i18n: ectx: (Loaded from IRT parameter est
en: This plugin estimates parameters under Item Response Theory approach, using the <link href="rkward://rhelp/ltm-package">ltm</link> package.
pt_BR: Este plugin estima os parâmetros de acordo com a aproximação da Teoria de Resposta dos Itens, usando o pacote <link href="rkward://rhelp/ltm-package">ltm</link>.

note: i18n: ectx: (Loaded from IRT parameter estimation: Rasch model) <usage> i18n: ectx: (Loaded from IRT parameter estimation: Two parameter logistic model) <usage> i18n: ectx: (Loaded from IRT parameter estimation: Birnbaum three parameter model) <usage> i18n: ectx: (Loaded from IRT parameter estimatio
en: The complete results can be stored as a new object in the current workspace for further use (e.g. plotting item characteristic curves).
pt_BR: Os resultados completos podem ser armazenados como um novo objeto no espaço de trabalho atual para uso posterior (p.ex, gráfico de curvas caraterísticas do item).

note: i18n: ectx: (Loaded from IRT parameter estimation: Two parameter logistic model) <usage>
en: To fit the two parameter logistic model with default settings, just the matrix of manifest variables (dichotomous item responses) must be selected. Further options are described in the sections below.
pt_BR: Para se ajustar ao modelo logístico de dois parâmetros com a configuração padrão, basta selecionar a matriz das variáveis de manifesto (respostas dicotômicas do item). As opções adicionais são descritas nas seções abaixo.

note: i18n: ectx: (Loaded from IRT parameter estimation: Rasch model) <settings> <setting title="..."> (refers to element labelled "Matrix of manifest variables:") i18n: ectx: (Loaded from IRT parameter estimation: Two parameter logistic model) <settings> <setting title="..."> (refers to element labelled 
en: Matrix of manifest variables
pt_BR: Matriz das variáveis de manifesto

note: i18n: ectx: (Loaded from IRT parameter estimation: Rasch model) <settings> <setting title="Matrix of manifest variables"> (refers to element labelled "Matrix of manifest variables:") i18n: ectx: (Loaded from IRT parameter estimation: Two parameter logistic model) <settings> <setting title="Matrix of
en: Select the matrix of dichotomous item responses from the objects shown on the left.
pt_BR: Selecione a matriz de respostas dicotômicas do item dos objetos exibidos à esquerda.

note: i18n: ectx: (Loaded from IRT parameter estimation: Two parameter logistic model) <settings> <setting> (refers to element labelled "Should parameters be fixed (constraints)?")
en: If you want to fix parameters, you have to prepare a matrix of fixed-value constraints first and then select it here. For detailed information on the specific layout of that matrix please refer to the manual for the <link href="rkward://rhelp/ltm">ltm()</link> function.
pt_BR: Se quiser corrigir os parâmetros, você precisa primeiro preparar uma matriz de restrições de valores fixos e depois selecioná-la aqui. Para informações detalhadas sobre o layout específico dessa matriz, consulte o manual da função <link href="rkward://rhelp/ltm">ltm()</link>.

note: i18n: ectx: (Loaded from IRT parameter estimation: Two parameter logistic model) <settings> <setting> (refers to element labelled "Start values")
en: By default start values for the parameters are computed automatically. Alternatively, you can force the use of random start values, or give a matrix of values to be used. For detailed information on the specific layout of that matrix please refer to the manual for the <link href="rkward://rhelp/ltm">ltm()</link> function.
pt_BR: Por padrão, os valores iniciais dos parâmetros são calculados automaticamente. De forma alternativa, você poderá forçar o uso de valores iniciais aleatórios ou indicar uma matriz de valores a ser usada. Para informações mais detalhadas sobre o layout específico dessa matriz, consulte o manual da função <link href="rkward://rhelp/ltm">ltm()</link>.

note: i18n: ectx: (Loaded from IRT parameter estimation: Rasch model) <settings> <setting> (refers to element labelled "Use only complete cases") i18n: ectx: (Loaded from IRT parameter estimation: Two parameter logistic model) <settings> <setting> (refers to element labelled "Use only complete cases") i18
en: Specifies how missing values are to be treated. By default all available cases are used. If checked, only complete cases will be considered.
pt_BR: Indica como serão tratados os valores ausentes. Por padrão, são usados todos os casos disponíveis. Se estiver assinalado, apenas os casos completos serão considerados.

note: i18n: ectx: (Loaded from IRT parameter estimation: Rasch model) <settings> <setting> (refers to element labelled "Usual IRT parameterization") i18n: ectx: (Loaded from IRT parameter estimation: Two parameter logistic model) <settings> <setting> (refers to element labelled "Usual IRT parameterization
en: If checked, the coefficients' estimates are reported under the usual Item Response Theory parameterization (which is the default).
pt_BR: Se estiver assinalado, as estimativas dos coeficientes são relatadas abaixo da parametrização normal da Teoria de Resposta do Item (por padrão).

note: i18n: ectx: (Loaded from IRT parameter estimation: Two parameter logistic model) <settings> <setting title="..."> (refers to element labelled "Number of EM iterations:")
en: Number of EM iterations
pt_BR: Número de iterações da EM

note: i18n: ectx: (Loaded from IRT parameter estimation: Two parameter logistic model) <settings> <setting title="Number of EM iterations"> (refers to element labelled "Number of EM iterations:")
en: Defaults to 40.
pt_BR: O padrão é 40.

note: i18n: ectx: (Loaded from IRT parameter estimation: Rasch model) <settings> <setting title="..."> (refers to element labelled "Number of quasi-Newton iterations:") i18n: ectx: (Loaded from IRT parameter estimation: Two parameter logistic model) <settings> <setting title="..."> (refers to element labe
en: Number of quasi-Newton iterations
pt_BR: Número de iterações quase-Newton

note: i18n: ectx: (Loaded from IRT parameter estimation: Rasch model) <settings> <setting title="Number of quasi-Newton iterations"> (refers to element labelled "Number of quasi-Newton iterations:") i18n: ectx: (Loaded from IRT parameter estimation: Two parameter logistic model) <settings> <setting title=
en: Defaults to 150.
pt_BR: O padrão é 150.

note: i18n: ectx: (Loaded from IRT parameter estimation: Rasch model) <settings> <setting title="..."> (refers to element labelled "Number of Gauss-Hermite quadrature points:") i18n: ectx: (Loaded from IRT parameter estimation: Two parameter logistic model) <settings> <setting title="..."> (refers to elem
en: Number of Gauss-Hermite quadrature points
pt_BR: Número de pontos de quadratura de Gauss-Hermite.

note: i18n: ectx: (Loaded from IRT parameter estimation: Two parameter logistic model) <settings> <setting title="Number of Gauss-Hermite quadrature points"> (refers to element labelled "Number of Gauss-Hermite quadrature points:")
en: Defaults to 15.
pt_BR: O padrão é 15.

note: i18n: ectx: (Loaded from IRT parameter estimation: Rasch model) <settings> <setting title="..."> (refers to element labelled "Optimization method:") i18n: ectx: (Loaded from IRT parameter estimation: Two parameter logistic model) <settings> <setting title="..."> (refers to element labelled "Optimiza
en: Optimization method
pt_BR: Método de otimização

note: i18n: ectx: (Loaded from IRT parameter estimation: Rasch model) <settings> <setting title="Optimization method"> (refers to element labelled "Optimization method:") i18n: ectx: (Loaded from IRT parameter estimation: Two parameter logistic model) <settings> <setting title="Optimization method"> (refe
en: The default optimization method is BFGS. It can be set to Nelder-Mead, CG, L-BFGS-B, or SANN instead. Please refer to the <link href="rkward://rhelp/optim">optim()</link> manual for details.
pt_BR: O método de otimização é o BFGS. Ele pode ser definido como Nelder-Mead, CG, L-BFGS-B ou SANN como alternativa. Consulte mais detalhes no manual do <link href="rkward://rhelp/optim">optim()</link>.

note: i18n: ectx: (Loaded from IRT parameter estimation: Rasch model) <settings> <setting> (refers to element labelled "Print verbose info about optimization") i18n: ectx: (Loaded from IRT parameter estimation: Two parameter logistic model) <settings> <setting> (refers to element labelled "Print verbose i
en: Pretty much speaks for itself ;-)
pt_BR: Praticamente fala por si ;-)

note: i18n: ectx: (Loaded from IRT parameter estimation: Rasch model) <related> i18n: ectx: (Loaded from IRT parameter estimation: Two parameter logistic model) <related> i18n: ectx: (Loaded from IRT parameter estimation: Birnbaum three parameter model) <related> i18n: ectx: (Loaded from IRT parameter est
en: Please refer to the <code>ltm</code> manuals for further information and detailed command line options:
pt_BR: Consulte os manuais do <code>ltm</code> para obter mais informações e opções detalhadas da linha de comando:

note: i18n: ectx: (Loaded from IRT parameter estimation: Two parameter logistic model) <technical>
en: The two factor solution of the <code>ltm()</code> function is not yet fully implemented (quadratic term is missing).
pt_BR: A solução de dois fatores da função <code>ltm()</code> ainda não está completamente implementada (falta o termo quadrático).

note: i18n: ectx: (IRT parameter estimation: Two parameter logistic model) <dialog label="...">
en: IRT parameter estimation: Two parameter logistic model
pt_BR: Estimativa do parâmetro IRT: Modelo logístico de dois parâmetros

note: i18n: ectx: (IRT parameter estimation: Rasch model) <dialog label="IRT parameter estimation: Rasch model"> <tab label="..."> i18n: ectx: (IRT parameter estimation: Two parameter logistic model) <dialog label="IRT parameter estimation: Two parameter logistic model"> <tab label="..."> i18n: ectx: (IRT
en: Manifest variables
pt_BR: Variáveis de manifesto

note: i18n: ectx: (IRT parameter estimation: Rasch model) <dialog label="IRT parameter estimation: Rasch model"> <tab label="Manifest variables"> <varslot label="..."> i18n: ectx: (IRT parameter estimation: Two parameter logistic model) <dialog label="IRT parameter estimation: Two parameter logistic model
en: Matrix of manifest variables:
pt_BR: Matriz das variáveis de manifesto:

note: i18n: ectx: (IRT parameter estimation: Rasch model) <dialog label="IRT parameter estimation: Rasch model"> <tab label="Manifest variables"> <saveobject label="..."> i18n: ectx: (IRT parameter estimation: Two parameter logistic model) <dialog label="IRT parameter estimation: Two parameter logistic mo
en: Save results in workspace
pt_BR: Salvar os resultados no espaço de trabalho

note: i18n: ectx: (IRT parameter estimation: Rasch model) <dialog label="IRT parameter estimation: Rasch model"> <tab label="..."> i18n: ectx: (IRT parameter estimation: Two parameter logistic model) <dialog label="IRT parameter estimation: Two parameter logistic model"> <tab label="..."> i18n: ectx: (IRT
en: Options
pt_BR: Opções

note: i18n: ectx: (IRT parameter estimation: Rasch model) <dialog label="IRT parameter estimation: Rasch model"> <tab label="Options"> <frame label="..."> i18n: ectx: (IRT parameter estimation: Two parameter logistic model) <dialog label="IRT parameter estimation: Two parameter logistic model"> <tab label
en: Should parameters be fixed (constraints)?
pt_BR: Os parâmetros devem ser fixados (restrições)?

note: i18n: ectx: (IRT parameter estimation: Rasch model) <dialog label="IRT parameter estimation: Rasch model"> <tab label="Options"> <frame label="Should parameters be fixed (constraints)?"> <varslot label="..."> i18n: ectx: (IRT parameter estimation: Two parameter logistic model) <dialog label="IRT par
en: Constraint matrix:
pt_BR: Matriz de restrições:

note: i18n: ectx: (IRT parameter estimation: Rasch model) <dialog label="IRT parameter estimation: Rasch model"> <tab label="Options"> <radio label="..."> i18n: ectx: (IRT parameter estimation: Two parameter logistic model) <dialog label="IRT parameter estimation: Two parameter logistic model"> <tab label
en: Start values
pt_BR: Valores iniciais

note: i18n: ectx: (IRT parameter estimation: Rasch model) <dialog label="IRT parameter estimation: Rasch model"> <tab label="Options"> <radio label="Start values"> <option label="..."> i18n: ectx: (IRT parameter estimation: Two parameter logistic model) <dialog label="IRT parameter estimation: Two paramet
en: Compute automatically
pt_BR: Calcular automaticamente

note: i18n: ectx: (IRT parameter estimation: Rasch model) <dialog label="IRT parameter estimation: Rasch model"> <tab label="Options"> <radio label="Start values"> <option label="..."> i18n: ectx: (IRT parameter estimation: Two parameter logistic model) <dialog label="IRT parameter estimation: Two paramet
en: Use random start values
pt_BR: Usar valores iniciais aleatórios

note: i18n: ectx: (IRT parameter estimation: Rasch model) <dialog label="IRT parameter estimation: Rasch model"> <tab label="Options"> <radio label="Start values"> <option label="..."> i18n: ectx: (IRT parameter estimation: Two parameter logistic model) <dialog label="IRT parameter estimation: Two paramet
en: Use own matrix of start values
pt_BR: Usar uma matriz própria de valores iniciais

note: i18n: ectx: (IRT parameter estimation: Rasch model) <dialog label="IRT parameter estimation: Rasch model"> <tab label="Options"> <varslot label="..."> i18n: ectx: (IRT parameter estimation: Two parameter logistic model) <dialog label="IRT parameter estimation: Two parameter logistic model"> <tab lab
en: Matrix of start values:
pt_BR: Matriz de valores iniciais:

note: i18n: ectx: (IRT parameter estimation: Rasch model) <dialog label="IRT parameter estimation: Rasch model"> <tab label="Options"> <frame label="..."> i18n: ectx: (IRT parameter estimation: Two parameter logistic model) <dialog label="IRT parameter estimation: Two parameter logistic model"> <tab label
en: Misc options
pt_BR: Opções diversas

note: i18n: ectx: (IRT parameter estimation: Rasch model) <dialog label="IRT parameter estimation: Rasch model"> <tab label="Options"> <frame label="Misc options"> <checkbox label="..."> i18n: ectx: (IRT parameter estimation: Two parameter logistic model) <dialog label="IRT parameter estimation: Two param
en: Use only complete cases
pt_BR: Usar apenas casos completos

note: i18n: ectx: (IRT parameter estimation: Rasch model) <dialog label="IRT parameter estimation: Rasch model"> <tab label="Options"> <frame label="Misc options"> <checkbox label="..."> i18n: ectx: (IRT parameter estimation: Two parameter logistic model) <dialog label="IRT parameter estimation: Two param
en: Usual IRT parameterization
pt_BR: Parametrização IRT normal

note: i18n: ectx: (IRT parameter estimation: Two parameter logistic model) <dialog label="IRT parameter estimation: Two parameter logistic model"> <tab label="Options"> <frame label="Misc options"> <checkbox label="...">
en: Assume two-factor model with interaction term
pt_BR: Usar um modelo de dois fatores com o termo de interação

note: i18n: ectx: (IRT parameter estimation: Rasch model) <dialog label="IRT parameter estimation: Rasch model"> <tab label="..."> i18n: ectx: (IRT parameter estimation: Two parameter logistic model) <dialog label="IRT parameter estimation: Two parameter logistic model"> <tab label="..."> i18n: ectx: (IRT
en: Advanced control
pt_BR: Controle avançado

note: i18n: ectx: (IRT parameter estimation: Two parameter logistic model) <dialog label="IRT parameter estimation: Two parameter logistic model"> <tab label="Advanced control"> <spinbox label="...">
en: Number of EM iterations:
pt_BR: Número de iterações da EM:

note: i18n: ectx: (IRT parameter estimation: Rasch model) <dialog label="IRT parameter estimation: Rasch model"> <tab label="Advanced control"> <spinbox label="..."> i18n: ectx: (IRT parameter estimation: Two parameter logistic model) <dialog label="IRT parameter estimation: Two parameter logistic model">
en: Number of quasi-Newton iterations:
pt_BR: Número de iterações quase-Newton:

note: i18n: ectx: (IRT parameter estimation: Rasch model) <dialog label="IRT parameter estimation: Rasch model"> <tab label="Advanced control"> <spinbox label="..."> i18n: ectx: (IRT parameter estimation: Two parameter logistic model) <dialog label="IRT parameter estimation: Two parameter logistic model">
en: Number of Gauss-Hermite quadrature points:
pt_BR: Número de pontos de quadratura de Gauss-Hermite:

note: i18n: ectx: (IRT parameter estimation: Rasch model) <dialog label="IRT parameter estimation: Rasch model"> <tab label="Advanced control"> <dropdown label="..."> i18n: ectx: (IRT parameter estimation: Two parameter logistic model) <dialog label="IRT parameter estimation: Two parameter logistic model"
en: Optimization method:
pt_BR: Método de otimização:

note: i18n: ectx: (IRT parameter estimation: Rasch model) <dialog label="IRT parameter estimation: Rasch model"> <tab label="Advanced control"> <checkbox label="..."> i18n: ectx: (IRT parameter estimation: Two parameter logistic model) <dialog label="IRT parameter estimation: Two parameter logistic model"
en: Print verbose info about optimization
pt_BR: Imprimir informações descritivas sobre a otimização

note: i18n: ectx: (Loaded from IRT parameter estimation: Birnbaum three parameter model)
en: 3PL parameter estimation
pt_BR: Estimativa de parâmetros 3PL

note: i18n: ectx: (Loaded from IRT parameter estimation: Birnbaum three parameter model) <usage>
en: To fit the Birnbaum three parameter model with default settings, just the matrix of manifest variables (dichotomous item responses) must be selected. Further options are described in the sections below.
pt_BR: Para se ajustar ao modelo de Birnbaum de três parâmetros com a configuração padrão, basta selecionar a matriz das variáveis de manifesto (respostas dicotômicas do item). As opções adicionais são descritas nas seções abaixo.

note: i18n: ectx: (Loaded from IRT parameter estimation: Birnbaum three parameter model) <settings> <setting> (refers to element labelled "Should parameters be fixed (constraints)?")
en: If you want to fix parameters, you have to prepare a matrix of fixed-value constraints first and then select it here. For detailed information on the specific layout of that matrix please refer to the manual for the <link href="rkward://rhelp/tpm">tpm()</link> function.
pt_BR: Se quiser corrigir os parâmetros, você precisa primeiro preparar uma matriz de restrições de valores fixos e depois selecioná-la aqui. Para informações detalhadas sobre o layout específico dessa matriz, consulte o manual da função <link href="rkward://rhelp/tpm">tpm()</link>.

note: i18n: ectx: (Loaded from IRT parameter estimation: Birnbaum three parameter model) <settings> <setting> (refers to element labelled "Upper bound for guessing parameter")
en: Limits the estimated guessing parameter (accepts values between 0 and 1).
pt_BR: Limita o parâmetro de adivinhação estimado (aceita valores entre 0 e 1).

note: i18n: ectx: (Loaded from IRT parameter estimation: Birnbaum three parameter model) <settings> <setting> (refers to element labelled "Start values")
en: By default start values for the parameters are computed automatically. Alternatively, you can force the use of random start values, or give a matrix of values to be used. For detailed information on the specific layout of that matrix please refer to the manual for the <link href="rkward://rhelp/tpm">tpm()</link> function.
pt_BR: Por padrão, os valores iniciais dos parâmetros são calculados automaticamente. De forma alternativa, você poderá forçar o uso de valores iniciais aleatórios ou indicar uma matriz de valores a ser usada. Para informações mais detalhadas sobre o layout específico dessa matriz, consulte o manual da função <link href="rkward://rhelp/tpm">tpm()</link>.

note: i18n: ectx: (Loaded from IRT parameter estimation: Birnbaum three parameter model) <settings> <setting> (refers to element labelled "Assume equal discrimination parameters")
en: If checked it is assumed that discrimination parameters are equal for all items, as in the 1PL Rasch model. That leaves difficulty and guessing parameters to be estimated.
pt_BR: Se estiver assinalado, assume-se que os parâmetros de discriminação são iguais para todos os itens, como no modelo Rasch 1PL. Isso deixa que os parâmetros de dificuldade e adivinhação sejam estimados.

note: i18n: ectx: (Loaded from IRT parameter estimation: Birnbaum three parameter model) <settings> <setting title="Number of quasi-Newton iterations"> (refers to element labelled "Number of quasi-Newton iterations:")
en: Defaults to 1000.
pt_BR: O padrão é 1000.

note: i18n: ectx: (Loaded from IRT parameter estimation: Rasch model) <settings> <setting title="Number of Gauss-Hermite quadrature points"> (refers to element labelled "Number of Gauss-Hermite quadrature points:") i18n: ectx: (Loaded from IRT parameter estimation: Birnbaum three parameter model) <setting
en: Defaults to 21.
pt_BR: O padrão é 21.

note: i18n: ectx: (Loaded from IRT parameter estimation: Birnbaum three parameter model) <settings> <setting title="..."> (refers to element labelled "Used optimizer:") i18n: ectx: (Loaded from IRT parameter estimation: Generalized partial credit model) <settings> <setting title="..."> (refers to element 
en: Used optimizer
pt_BR: Otimizador usado

note: i18n: ectx: (Loaded from IRT parameter estimation: Birnbaum three parameter model) <settings> <setting title="Used optimizer"> (refers to element labelled "Used optimizer:") i18n: ectx: (Loaded from IRT parameter estimation: Generalized partial credit model) <settings> <setting title="Used optimizer
en: By default <link href="rkward://rhelp/optim">optim()</link> is being used for optimization. Alternatively, <link href="rkward://rhelp/nlminb">nlminb()</link> can be called.
pt_BR: Por padrão, o <link href="rkward://rhelp/optim">optim()</link> é usado para otimização. Alternativamente, o <link href="rkward://rhelp/nlminb">nlminb()</link> pode ser chamado.

note: i18n: ectx: (Loaded from IRT parameter estimation: Birnbaum three parameter model) <settings> <setting title="Optimization method"> (refers to element labelled "Optimization method:")
en: <i>Only if <code>optim()</code> is used:</i> The default optimization method is BFGS. It can be set to Nelder-Mead, CG, L-BFGS-B, or SANN instead. Please refer to the <link href="rkward://rhelp/optim">optim()</link> manual for details.
pt_BR: <i>Apenas se for usado o <code>optim()</code>:</i> O método de otimização padrão é o BFGS. Ele pode ser definido como Nelder-Mead, CG, L-BFGS-B ou SANN como alternativa. Consulte mais detalhes no manual do <link href="rkward://rhelp/optim">optim()</link>.

note: i18n: ectx: (Loaded from IRT parameter estimation: Birnbaum three parameter model) <settings> <setting> (refers to element labelled "Step-length for approximation")
en: Used in the central difference approximation that approximates the hessian. Defaults to 1e-03.
pt_BR: Usado na aproximação de diferenças central, que se aproxima à Hessiana. O valor padrão é 1e-03.

note: i18n: ectx: (Loaded from IRT parameter estimation: Birnbaum three parameter model) <technical> i18n: ectx: (Loaded from IRT parameter estimation: Graded response model) <technical> i18n: ectx: (Loaded from IRT parameter estimation: Generalized partial credit model) <technical>
en: Todo:
pt_BR: Tarefa:

note: i18n: ectx: (Loaded from IRT parameter estimation: Birnbaum three parameter model) <technical> i18n: ectx: (Loaded from IRT parameter estimation: Graded response model) <technical> i18n: ectx: (Loaded from IRT parameter estimation: Generalized partial credit model) <technical>
en: The <code>parscale</code> control element is not yet implemented.
pt_BR: O elemento de controle <code>parscale</code> ainda não está implementado.

note: i18n: ectx: (IRT parameter estimation: Birnbaum three parameter model) <dialog label="...">
en: IRT parameter estimation: Birnbaum three parameter model
pt_BR: Estimativa do parâmetro IRT: Modelo Birnbaum de três parâmetros

note: i18n: ectx: (IRT parameter estimation: Birnbaum three parameter model) <dialog label="IRT parameter estimation: Birnbaum three parameter model"> <tab label="Options"> <spinbox label="...">
en: Upper bound for guessing parameter
pt_BR: Limite superior do parâmetro a adivinhar

note: i18n: ectx: (IRT parameter estimation: Birnbaum three parameter model) <dialog label="IRT parameter estimation: Birnbaum three parameter model"> <tab label="Options"> <frame label="Misc options"> <checkbox label="...">
en: Assume equal discrimination parameters
pt_BR: Assumir parâmetros de discriminação iguais

note: i18n: ectx: (IRT parameter estimation: Birnbaum three parameter model) <dialog label="IRT parameter estimation: Birnbaum three parameter model"> <tab label="Advanced control"> <dropdown label="..."> i18n: ectx: (IRT parameter estimation: Generalized partial credit model) <dialog label="IRT parameter
en: Used optimizer:
pt_BR: Otimizador usado:

note: i18n: ectx: (IRT parameter estimation: Birnbaum three parameter model) <dialog label="IRT parameter estimation: Birnbaum three parameter model"> <tab label="Advanced control"> <spinbox label="..."> i18n: ectx: (IRT parameter estimation: Generalized partial credit model) <dialog label="IRT parameter 
en: Step-length for approximation
pt_BR: Tamanho do passo de aproximação

note: i18n: ectx: (Loaded from IRT parameter estimation: Linear logistic test model)
en: LLTM  parameter estimation
pt_BR: Estimativa de parâmetros LLTM

note: i18n: ectx: (Loaded from IRT parameter estimation: Linear logistic test model) i18n: ectx: (Loaded from IRT parameter estimation: Rating scale model) i18n: ectx: (Loaded from IRT parameter estimation: Partial credit model) i18n: ectx: (Loaded from IRT parameter estimation: Linear rating scale model)
en: Conditional log-likelihood:
pt_BR: Semelhança de registro condicional:

note: i18n: ectx: (Loaded from IRT parameter estimation: Linear logistic test model) i18n: ectx: (Loaded from IRT parameter estimation: Rating scale model) i18n: ectx: (Loaded from IRT parameter estimation: Partial credit model) i18n: ectx: (Loaded from IRT parameter estimation: Linear rating scale model)
en: <br />Number of iterations:
pt_BR: <br />Número de iterações:

note: i18n: ectx: (Loaded from IRT parameter estimation: Linear logistic test model) i18n: ectx: (Loaded from IRT parameter estimation: Rating scale model) i18n: ectx: (Loaded from IRT parameter estimation: Partial credit model) i18n: ectx: (Loaded from IRT parameter estimation: Linear rating scale model)
en: <br />Number of parameters:
pt_BR: <br />Número de parâmetros:

note: i18n: ectx: (Loaded from IRT parameter estimation: Linear logistic test model) <summary> i18n: ectx: (Loaded from IRT parameter estimation: Rating scale model) <summary> i18n: ectx: (Loaded from IRT parameter estimation: Partial credit model) <summary> i18n: ectx: (Loaded from IRT parameter estimati
en: This plugin estimates parameters under Item Response Theory approach, using the <link href="rkward://rhelp/eRm-package">eRm</link> package.
pt_BR: Este plugin estima os parâmetros de acordo com a aproximação da Teoria de Resposta dos Itens, usando o pacote <link href="rkward://rhelp/eRm-package">eRm</link>.

note: i18n: ectx: (Loaded from IRT parameter estimation: Linear logistic test model) <usage>
en: To fit the linear logistic test model with default settings, just the matrix of manifest variables (dichotomous item responses) must be selected. Further options are described in the sections below. For detailed information on the expected layout of matrices and vectors please refer to the manual for the <link href="rkward://rhelp/LLTM">LLTM()</link> function.
pt_BR: Para se ajustar ao modelo logístico de teste linear com as configurações padrão, basta selecionar a matriz das variáveis de manifesto (respostas dicotômicas do item). As opções adicionais são descritas nas seções abaixo. Para obter informações mais detalhadas sobre o layout esperado para as matrizes e vetores, consulte o manual da função <link href="rkward://rhelp/LLTM">LLTM()</link>.

note: i18n: ectx: (Loaded from IRT parameter estimation: Linear logistic test model) <settings> <setting> (refers to element labelled "Number of measurement points") i18n: ectx: (Loaded from IRT parameter estimation: Linear rating scale model) <settings> <setting> (refers to element labelled "Number of me
en: If repeated measurement applies, specify how many are represented in the data matrix (defaults to 1). This will divide the columns in the matrix into equally sized subsets of data.
pt_BR: Se a medição repetida se aplicar, indique quantas são representadas na matriz de dados (por padrão é igual a 1). Isso irá dividir as colunas na matriz em subconjuntos de dados de tamanho igual.

note: i18n: ectx: (Loaded from IRT parameter estimation: Linear logistic test model) <settings> <setting> (refers to element labelled "Group contrasts") i18n: ectx: (Loaded from IRT parameter estimation: Linear rating scale model) <settings> <setting> (refers to element labelled "Group contrasts") i18n: e
en: If you want to compute group contrasts, a vector determining the group membership of each subject must be given. By default no group contrasts are imposed.
pt_BR: Se quiser calcular contrastes em grupo, deverá indicar um vetor determinando o grupo em que cada sujeito participa. Por padrão, nenhum contraste de grupo será imposto.

note: i18n: ectx: (Loaded from IRT parameter estimation: Linear logistic test model) <settings> <setting> (refers to element labelled "Design matrix")
en: By default the design matrix for the LLTM will be computed automatically. Alternatively, you may specify your own design matrix here.
pt_BR: Por padrão, a matriz de desenho do LLTM será calculada automaticamente. Alternativamente, você poderá definir aqui a sua própria matriz de desenho.

note: i18n: ectx: (Loaded from IRT parameter estimation: Linear logistic test model) <settings> <setting> (refers to element labelled "Eta start values") i18n: ectx: (Loaded from IRT parameter estimation: Rating scale model) <settings> <setting> (refers to element labelled "Eta start values") i18n: ectx: 
en: By default eta values start with the 0-vector. To change this, a vector of starting values can be specified.
pt_BR: Por padrão, os valores ETA começam com o vetor 0. Para alterar isso, um vetor de valores iniciais deve ser indicado.

note: i18n: ectx: (Loaded from IRT parameter estimation: Linear logistic test model) <settings> <setting> (refers to element labelled "Compute standard error") i18n: ectx: (Loaded from IRT parameter estimation: Rating scale model) <settings> <setting> (refers to element labelled "Compute standard error") 
en: If checked, standard errors are computed (which is the default).
pt_BR: Se estiver assinalado, serão calculados os erros padrão (que é o padrão).

note: i18n: ectx: (Loaded from IRT parameter estimation: Linear logistic test model) <settings> <setting> (refers to element labelled "Normalize parameters to sum-0") i18n: ectx: (Loaded from IRT parameter estimation: Rating scale model) <settings> <setting> (refers to element labelled "Normalize paramete
en: By default parameters are normalized to sum-0 by specifying an appropriate design matrix. Uncheck this box to restrict the first parameter to 0.
pt_BR: Por padrão, os parâmetros são normalizados para a soma 0, indicando uma matriz de desenho apropriada. Desmarque esta opção para restringir o primeiro parâmetro a 0.

note: i18n: ectx: (Loaded from IRT parameter estimation: Linear logistic test model) <related> i18n: ectx: (Loaded from IRT parameter estimation: Rating scale model) <related> i18n: ectx: (Loaded from IRT parameter estimation: Partial credit model) <related> i18n: ectx: (Loaded from IRT parameter estimati
en: Please refer to the <code>eRm</code> manuals for further information and detailed command line options:
pt_BR: Consulte os manuais do <code>eRm</code> para mais informações e opções detalhadas da linha de comando:

note: i18n: ectx: (IRT parameter estimation: Linear logistic test model) <dialog label="...">
en: IRT parameter estimation: Linear logistic test model
pt_BR: Estimativa do parâmetro IRT: Modelo de testes logísticos lineares

note: i18n: ectx: (IRT parameter estimation: Linear logistic test model) <dialog label="IRT parameter estimation: Linear logistic test model"> <tab label="Manifest variables"> <spinbox label="..."> i18n: ectx: (IRT parameter estimation: Linear rating scale model) <dialog label="IRT parameter estimation: L
en: Number of measurement points
pt_BR: Número de pontos de medida

note: i18n: ectx: (IRT parameter estimation: Linear logistic test model) <dialog label="IRT parameter estimation: Linear logistic test model"> <tab label="Manifest variables"> <radio label="..."> i18n: ectx: (IRT parameter estimation: Linear rating scale model) <dialog label="IRT parameter estimation: Lin
en: Group contrasts
pt_BR: Contrastes dos grupos

note: i18n: ectx: (IRT parameter estimation: Linear logistic test model) <dialog label="IRT parameter estimation: Linear logistic test model"> <tab label="Manifest variables"> <radio label="Group contrasts"> <option label="..."> i18n: ectx: (IRT parameter estimation: Linear rating scale model) <dialog lab
en: All subjects belong to one group
pt_BR: Todos os sujeitos pertencem a um grupo

note: i18n: ectx: (IRT parameter estimation: Linear logistic test model) <dialog label="IRT parameter estimation: Linear logistic test model"> <tab label="Manifest variables"> <radio label="Group contrasts"> <option label="..."> i18n: ectx: (IRT parameter estimation: Linear rating scale model) <dialog lab
en: Compute group contrasts
pt_BR: Calcular os contrastes dos grupos

note: i18n: ectx: (IRT parameter estimation: Linear logistic test model) <dialog label="IRT parameter estimation: Linear logistic test model"> <tab label="Manifest variables"> <varslot label="..."> i18n: ectx: (IRT parameter estimation: Linear rating scale model) <dialog label="IRT parameter estimation: L
en: Use this group vector:
pt_BR: Usar este vetor de grupos:

note: i18n: ectx: (IRT parameter estimation: Linear logistic test model) <dialog label="IRT parameter estimation: Linear logistic test model"> <tab label="Options"> <radio label="..."> i18n: ectx: (IRT parameter estimation: Rating scale model) <dialog label="IRT parameter estimation: Rating scale model"> 
en: Design matrix
pt_BR: Matriz de desenho

note: i18n: ectx: (IRT parameter estimation: Linear logistic test model) <dialog label="IRT parameter estimation: Linear logistic test model"> <tab label="Options"> <radio label="Design matrix"> <option label="..."> i18n: ectx: (IRT parameter estimation: Rating scale model) <dialog label="IRT parameter es
en: Use own design matrix
pt_BR: Usar uma matriz de desenho própria

note: i18n: ectx: (IRT parameter estimation: Linear logistic test model) <dialog label="IRT parameter estimation: Linear logistic test model"> <tab label="Options"> <varslot label="..."> i18n: ectx: (IRT parameter estimation: Rating scale model) <dialog label="IRT parameter estimation: Rating scale model"
en: Design matrix:
pt_BR: Matriz de desenho:

note: i18n: ectx: (IRT parameter estimation: Linear logistic test model) <dialog label="IRT parameter estimation: Linear logistic test model"> <tab label="Options"> <radio label="..."> i18n: ectx: (IRT parameter estimation: Rating scale model) <dialog label="IRT parameter estimation: Rating scale model"> 
en: Eta start values
pt_BR: Valores iniciais do ETA

note: i18n: ectx: (IRT parameter estimation: Linear logistic test model) <dialog label="IRT parameter estimation: Linear logistic test model"> <tab label="Options"> <radio label="Eta start values"> <option label="..."> i18n: ectx: (IRT parameter estimation: Rating scale model) <dialog label="IRT parameter
en: Use 0-vector
pt_BR: Usar o vetor 0

note: i18n: ectx: (IRT parameter estimation: Linear logistic test model) <dialog label="IRT parameter estimation: Linear logistic test model"> <tab label="Options"> <radio label="Eta start values"> <option label="..."> i18n: ectx: (IRT parameter estimation: Rating scale model) <dialog label="IRT parameter
en: Use own vector of eta start values
pt_BR: Usar um vetor próprio de valores iniciais ETA

note: i18n: ectx: (IRT parameter estimation: Linear logistic test model) <dialog label="IRT parameter estimation: Linear logistic test model"> <tab label="Options"> <varslot label="..."> i18n: ectx: (IRT parameter estimation: Rating scale model) <dialog label="IRT parameter estimation: Rating scale model"
en: Vector of start values:
pt_BR: Vetor de valores iniciais:

note: i18n: ectx: (IRT parameter estimation: Linear logistic test model) <dialog label="IRT parameter estimation: Linear logistic test model"> <tab label="Options"> <frame label="Misc options"> <checkbox label="..."> i18n: ectx: (IRT parameter estimation: Rating scale model) <dialog label="IRT parameter e
en: Compute standard error
pt_BR: Calcular o erro padrão

note: i18n: ectx: (IRT parameter estimation: Linear logistic test model) <dialog label="IRT parameter estimation: Linear logistic test model"> <tab label="Options"> <frame label="Misc options"> <checkbox label="..."> i18n: ectx: (IRT parameter estimation: Rating scale model) <dialog label="IRT parameter e
en: Normalize parameters to sum-0
pt_BR: Normalizar os parâmetros à soma 0

note: i18n: ectx: (Loaded from IRT parameter estimation: Rasch model)
en: Rasch parameter estimation
pt_BR: Estimativa do parâmetro Rasch

note: i18n: ectx: (Loaded from IRT parameter estimation: Rasch model) <usage>
en: To fit the Rasch model with default settings, just the matrix of manifest variables (dichotomous item responses) must be selected. Further options are described in the sections below.
pt_BR: Para se ajustar ao modelo Rasch com a configuração padrão, basta selecionar a matriz das variáveis de manifesto (respostas dicotômicas do item). As opções adicionais são descritas nas seções abaixo.

note: i18n: ectx: (Loaded from IRT parameter estimation: Rasch model) <settings> <setting> (refers to element labelled "Should parameters be fixed (constraints)?")
en: If you want to fix parameters, you have to prepare a matrix of fixed-value constraints first and then select it here. For detailed information on the specific layout of that matrix please refer to the manual for the <link href="rkward://rhelp/rasch">rasch()</link> function.
pt_BR: Se quiser corrigir os parâmetros, você precisa primeiro preparar uma matriz de restrições de valores fixos e depois selecioná-la aqui. Para informações detalhadas sobre o layout específico dessa matriz, consulte o manual da função <link href="rkward://rhelp/rasch">rasch()</link>.

note: i18n: ectx: (Loaded from IRT parameter estimation: Rasch model) <settings> <setting> (refers to element labelled "Start values")
en: By default start values for the parameters are computed automatically. Alternatively, you can force the use of random start values, or give a matrix of values to be used. For detailed information on the specific layout of that matrix please refer to the manual for the <link href="rkward://rhelp/rasch">rasch()</link> function.
pt_BR: Por padrão, os valores iniciais dos parâmetros são calculados automaticamente. De forma alternativa, você poderá forçar o uso de valores iniciais aleatórios ou indicar uma matriz de valores a ser usada. Para informações mais detalhadas sobre o layout específico dessa matriz, consulte o manual da função <link href="rkward://rhelp/ltm">rasch()</link>.

note: i18n: ectx: (IRT parameter estimation: Rasch model) <dialog label="...">
en: IRT parameter estimation: Rasch model
pt_BR: Estimativa do parâmetro IRT: Modelo Rasch

note: i18n: ectx: (Loaded from IRT parameter estimation: Generalized partial credit model)
en: GPCM parameter estimation
pt_BR: Estimativa de parâmetros GPCM

note: i18n: ectx: (Loaded from IRT parameter estimation: Generalized partial credit model) <usage>
en: To fit the generalized partial credit model with default settings, just the matrix of manifest variables (polytomous item responses) must be selected. Further options are described in the sections below.
pt_BR: Para se ajustar ao modelo de crédito parcial generalizado (GPCM) com a configuração padrão, basta selecionar a matriz das variáveis de manifesto (respostas politômicas do item). As opções adicionais são descritas nas seções abaixo.

note: i18n: ectx: (Loaded from IRT parameter estimation: Graded response model) <settings> <setting title="Matrix of manifest variables"> (refers to element labelled "Matrix of manifest variables:") i18n: ectx: (Loaded from IRT parameter estimation: Generalized partial credit model) <settings> <setting ti
en: Select the matrix of polytomous item responses from the objects shown on the left.
pt_BR: Selecione a matriz de respostas politômicas do item dos objetos exibidos à esquerda.

note: i18n: ectx: (Loaded from IRT parameter estimation: Generalized partial credit model) <settings> <setting> (refers to element labelled "Item selection")
en: If you only want to use a subset of items from selected object, you can specify these here.
pt_BR: Se você apenas quiser usar um subconjunto de itens do objeto selecionado, poderá definir aqui.

note: i18n: ectx: (Loaded from IRT parameter estimation: Generalized partial credit model) <settings> <setting> (refers to element labelled "Should parameters be fixed (constrained)?")
en: Choose if discrimination parameters should be computed for each item individually. Alternatively, you can estimate one discrimination parameter that is equal for all items, or fix it at 1 for all items.
pt_BR: Escolha se os parâmetros de discriminação devem ser calculados para cada item individual. Alternativamente, você poderá estimar um parâmetro de discriminação que é igual para todos os itens ou fixá-lo como 1 todos eles.

note: i18n: ectx: (Loaded from IRT parameter estimation: Generalized partial credit model) <settings> <setting> (refers to element labelled "Start values")
en: By default start values for the parameters are computed automatically. Alternatively, you can force the use of random start values, or give a list of values to be used. For detailed information on the specific layout of that list please refer to the manual for the <link href="rkward://rhelp/gpcm">gpcm()</link> function.
pt_BR: Por padrão, os valores iniciais dos parâmetros são calculados automaticamente. De forma alternativa, você poderá forçar o uso de valores iniciais aleatórios ou indicar uma lista de valores a ser usada. Para informações mais detalhadas sobre o layout específico dessa lista, consulte o manual da função <link href="rkward://rhelp/ltm">gpcm()</link>.

note: i18n: ectx: (Loaded from IRT parameter estimation: Generalized partial credit model) <settings> <setting> (refers to element labelled "Numerical derivative algorithm to approximate Hessian matrix:")
en: Options are forward difference approximation (the default) and central difference approximation.
pt_BR: As opções são uma aproximação da diferença posterior (padrão) e da diferença central.

note: i18n: ectx: (Loaded from IRT parameter estimation: Generalized partial credit model) <settings> <setting> (refers to element labelled "Step-length for approximation")
en: Step size to be used in the numerical derivative. Default is 1e-06. If you use central difference approximation, change this to a larger value, e.g., 1e-03 or 1e-04.
pt_BR: Tamanho do passo a ser usado para a derivada numérica. O valor padrão é 1e-06. Se você usar uma aproximação à diferença central, altere isso para um valor maior, p.ex., 1e-03 ou 1e-04.

note: i18n: ectx: (IRT parameter estimation: Generalized partial credit model) <dialog label="...">
en: IRT parameter estimation: Generalized partial credit model
pt_BR: Estimativa do parâmetro IRT: Modelo de crédito parcial generalizado

note: i18n: ectx: (IRT parameter estimation: Generalized partial credit model) <dialog label="IRT parameter estimation: Generalized partial credit model"> <tab label="Manifest variables"> <frame label="..."> i18n: ectx: (Cronbach's alpha) <dialog label="Cronbach's alpha"> <tab label="Data"> <frame label="
en: Item selection
pt_BR: Seleção do item

note: i18n: ectx: (IRT parameter estimation: Generalized partial credit model) <dialog label="IRT parameter estimation: Generalized partial credit model"> <tab label="Manifest variables"> <frame label="Item selection"> <checkbox label="..."> i18n: ectx: (Cronbach's alpha) <dialog label="Cronbach's alpha">
en: Select a subset of items
pt_BR: Selecione um subconjunto de itens

note: i18n: ectx: (IRT parameter estimation: Generalized partial credit model) <dialog label="IRT parameter estimation: Generalized partial credit model"> <tab label="Manifest variables"> <frame label="Item selection"> <varslot label="..."> i18n: ectx: (Cronbach's alpha) <dialog label="Cronbach's alpha"> 
en: List of items:
pt_BR: Lista de itens:

note: i18n: ectx: (IRT parameter estimation: Generalized partial credit model) <dialog label="IRT parameter estimation: Generalized partial credit model"> <tab label="Options"> <radio label="...">
en: Should parameters be fixed (constrained)?
pt_BR: Os parâmetros devem ser fixados (restritos)?

note: i18n: ectx: (IRT parameter estimation: Generalized partial credit model) <dialog label="IRT parameter estimation: Generalized partial credit model"> <tab label="Options"> <radio label="Should parameters be fixed (constrained)?"> <option label="...">
en: Each item has its one discrimination parameter
pt_BR: Cada item tem seu próprio parâmetro de discriminação

note: i18n: ectx: (IRT parameter estimation: Generalized partial credit model) <dialog label="IRT parameter estimation: Generalized partial credit model"> <tab label="Options"> <radio label="Should parameters be fixed (constrained)?"> <option label="...">
en: Equal discrimination parameter across items
pt_BR: Parâmetro de discriminação igual entre os itens

note: i18n: ectx: (IRT parameter estimation: Generalized partial credit model) <dialog label="IRT parameter estimation: Generalized partial credit model"> <tab label="Options"> <radio label="Should parameters be fixed (constrained)?"> <option label="...">
en: Discrimination parameter fixed at 1 across items
pt_BR: Parâmetro de discriminação fixo em 1 entre os itens

note: i18n: ectx: (IRT parameter estimation: Graded response model) <dialog label="IRT parameter estimation: Graded response model"> <tab label="Options"> <radio label="Start values"> <option label="..."> i18n: ectx: (IRT parameter estimation: Generalized partial credit model) <dialog label="IRT parameter
en: Use own list of start values
pt_BR: Usar uma lista própria de valores iniciais

note: i18n: ectx: (IRT parameter estimation: Graded response model) <dialog label="IRT parameter estimation: Graded response model"> <tab label="Options"> <varslot label="..."> i18n: ectx: (IRT parameter estimation: Generalized partial credit model) <dialog label="IRT parameter estimation: Generalized par
en: List of start values:
pt_BR: Lista de valores iniciais:

note: i18n: ectx: (IRT parameter estimation: Generalized partial credit model) <dialog label="IRT parameter estimation: Generalized partial credit model"> <tab label="Advanced control"> <dropdown label="...">
en: Numerical derivative algorithm to approximate Hessian matrix:
pt_BR: Algoritmo de derivação numérica para aproximar à matriz Hessiana:

note: i18n: ectx: (IRT parameter estimation: Generalized partial credit model) <dialog label="IRT parameter estimation: Generalized partial credit model"> <tab label="Advanced control"> <dropdown label="Numerical derivative algorithm to approximate Hessian matrix:"> <option label="...">
en: Forward difference approximation
pt_BR: Aproximação à diferença posterior

note: i18n: ectx: (IRT parameter estimation: Generalized partial credit model) <dialog label="IRT parameter estimation: Generalized partial credit model"> <tab label="Advanced control"> <dropdown label="Numerical derivative algorithm to approximate Hessian matrix:"> <option label="...">
en: Central difference approximation
pt_BR: Aproximação à diferença central

note: i18n: ectx: (Loaded from IRT parameter estimation: Graded response model)
en: GRM parameter estimation
pt_BR: Estimativa do parâmetro GRM

note: i18n: ectx: (Loaded from IRT parameter estimation: Graded response model) <usage>
en: To fit the graded response model with default settings, just the matrix of manifest variables (polytomous item responses) must be selected. Further options are described in the sections below.
pt_BR: Para se ajustar ao modelo de resposta graduada com as configurações padrão, basta selecionar a matriz das variáveis de manifesto (respostas politômicas do item). As opções adicionais são descritas nas seções abaixo.

note: i18n: ectx: (Loaded from IRT parameter estimation: Graded response model) <settings> <setting> (refers to element labelled "Should parameters be fixed (constraints)?")
en: If checked it is assumed that discrimination parameters are equal for all items.
pt_BR: Se estiver assinalado, assume-se que os parâmetros de discriminação são iguais para todos os itens.

note: i18n: ectx: (Loaded from IRT parameter estimation: Graded response model) <settings> <setting> (refers to element labelled "Start values")
en: By default start values for the parameters are computed automatically. Alternatively, you can force the use of random start values, or give a list of values to be used. For detailed information on the specific layout of that list please refer to the manual for the <link href="rkward://rhelp/grm">grm()</link> function.
pt_BR: Por padrão, os valores iniciais dos parâmetros são calculados automaticamente. De forma alternativa, você poderá forçar o uso de valores iniciais aleatórios ou indicar uma lista de valores a ser usada. Para informações mais detalhadas sobre o layout específico dessa lista, consulte o manual da função <link href="rkward://rhelp/ltm">grm()</link>.

note: i18n: ectx: (Loaded from IRT parameter estimation: Graded response model) <settings> <setting> (refers to element labelled "Compute Hessian matrix")
en: If checked the Hessian matrix is computed.
pt_BR: Se estiver assinalado, a matriz Hessiana será calculada.

note: i18n: ectx: (Loaded from IRT parameter estimation: Graded response model) <settings> <setting title="..."> (refers to element labelled "Number of digits to abbreviate item names:")
en: Number of digits to abbreviate item names
pt_BR: Número de algarismos para abreviar o nome dos itens

note: i18n: ectx: (Loaded from IRT parameter estimation: Graded response model) <settings> <setting title="Number of digits to abbreviate item names"> (refers to element labelled "Number of digits to abbreviate item names:")
en: Specifies how many digits are used in abbreviating item names. Defaults to 6.
pt_BR: Indica quantos algarismos são usados para abreviar o nome dos itens. O valor padrão é 6.

note: i18n: ectx: (IRT parameter estimation: Graded response model) <dialog label="...">
en: IRT parameter estimation: Graded response model
pt_BR: Estimativa do parâmetro IRT: Modelo de resposta graduada

note: i18n: ectx: (IRT parameter estimation: Graded response model) <dialog label="IRT parameter estimation: Graded response model"> <tab label="Options"> <frame label="Should parameters be fixed (constraints)?"> <checkbox label="...">
en: Assume equal discrimination parameters across items
pt_BR: Assumir parâmetros de discriminação iguais entre os itens

note: i18n: ectx: (IRT parameter estimation: Graded response model) <dialog label="IRT parameter estimation: Graded response model"> <tab label="Options"> <frame label="Misc options"> <checkbox label="...">
en: Compute Hessian matrix
pt_BR: Calcular a matriz Hessiana

note: i18n: ectx: (IRT parameter estimation: Graded response model) <dialog label="IRT parameter estimation: Graded response model"> <tab label="Advanced control"> <spinbox label="...">
en: Number of digits to abbreviate item names:
pt_BR: Número de algarismos para abreviar o nome dos itens:

note: i18n: ectx: (Loaded from IRT parameter estimation: Linear partial credit model)
en: LPCM  parameter estimation
pt_BR: Estimativa de parâmetros LPCM

note: i18n: ectx: (Loaded from IRT parameter estimation: Linear partial credit model) <usage>
en: To fit the linear partial credit model with default settings, just the matrix of manifest variables (item responses) must be selected. Further options are described in the sections below. For detailed information on the expected layout of matrices and vectors please refer to the manual for the <link href="rkward://rhelp/LPCM">LPCM()</link> function.
pt_BR: Para se ajustar ao modelo de crédito parcial linear (LPCM) com as configurações padrão, basta selecionar a matriz das variáveis de manifesto (respostas do item). As opções adicionais são descritas nas seções abaixo. Para obter informações mais detalhadas sobre o layout esperado para as matrizes e vetores, consulte o manual da função <link href="rkward://rhelp/LPCM">LPCM()</link>.

note: i18n: ectx: (Loaded from IRT parameter estimation: Rating scale model) <settings> <setting title="Matrix of manifest variables"> (refers to element labelled "Matrix of manifest variables:") i18n: ectx: (Loaded from IRT parameter estimation: Partial credit model) <settings> <setting title="Matrix of 
en: Select the matrix of item responses from the objects shown on the left.
pt_BR: Selecione a matriz de respostas do item dos objetos exibidos à esquerda.

note: i18n: ectx: (Loaded from IRT parameter estimation: Linear partial credit model) <settings> <setting> (refers to element labelled "Design matrix")
en: By default the design matrix for the LPCM will be computed automatically. Alternatively, you may specify your own design matrix here.
pt_BR: Por padrão, a matriz de desenho do LPCM será calculada automaticamente. Alternativamente, você poderá definir aqui a sua própria matriz de desenho.

note: i18n: ectx: (IRT parameter estimation: Linear partial credit model) <dialog label="...">
en: IRT parameter estimation: Linear partial credit model
pt_BR: Estimativa do parâmetro IRT: Modelo de crédito parcial linear

note: i18n: ectx: (Loaded from IRT parameter estimation: Linear rating scale model)
en: LRSM  parameter estimation
pt_BR: Estimativa de parâmetros LRSM

note: i18n: ectx: (Loaded from IRT parameter estimation: Linear rating scale model) <usage>
en: To fit the linear rating scale model with default settings, just the matrix of manifest variables (item responses) must be selected. Further options are described in the sections below. For detailed information on the expected layout of matrices and vectors please refer to the manual for the <link href="rkward://rhelp/LRSM">LRSM()</link> function.
pt_BR: Para se ajustar ao modelo de escala de classificação linear (LRSM) com as configurações padrão, basta selecionar a matriz das variáveis de manifesto (respostas do item). As opções adicionais são descritas nas seções abaixo. Para obter informações mais detalhadas sobre o layout esperado para as matrizes e vetores, consulte o manual da função <link href="rkward://rhelp/LRSM">LRSM()</link>.

note: i18n: ectx: (Loaded from IRT parameter estimation: Linear rating scale model) <settings> <setting> (refers to element labelled "Design matrix")
en: By default the design matrix for the LRSM will be computed automatically. Alternatively, you may specify your own design matrix here.
pt_BR: Por padrão, a matriz de desenho do LRSM será calculada automaticamente. Alternativamente, você poderá definir aqui a sua própria matriz de desenho.

note: i18n: ectx: (IRT parameter estimation: Linear rating scale model) <dialog label="...">
en: IRT parameter estimation: Linear rating scale model
pt_BR: Estimativa do parâmetro IRT: Modelo de escala de classificação linear

note: i18n: ectx: (Loaded from IRT parameter estimation: Partial credit model)
en: PCM  parameter estimation
pt_BR: Estimativa de parâmetros PCM

note: i18n: ectx: (Loaded from IRT parameter estimation: Partial credit model) <usage>
en: To fit the partial credit model with default settings, just the matrix of manifest variables (item responses) must be selected. Further options are described in the sections below. For detailed information on the expected layout of matrices and vectors please refer to the manual for the <link href="rkward://rhelp/PCM">PCM()</link> function.
pt_BR: Para se ajustar ao modelo de crédito parcial (PCM) com as configurações padrão, basta selecionar a matriz das variáveis de manifesto (respostas do item). As opções adicionais são descritas nas seções abaixo. Para obter informações mais detalhadas sobre o layout esperado para as matrizes e vetores, consulte o manual da função <link href="rkward://rhelp/PCM">PCM()</link>.

note: i18n: ectx: (Loaded from IRT parameter estimation: Partial credit model) <settings> <setting> (refers to element labelled "Design matrix")
en: By default the design matrix for the PCM will be computed automatically. Alternatively, you may specify your own design matrix here.
pt_BR: Por padrão, a matriz de desenho do PCM será calculada automaticamente. Alternativamente, você poderá definir aqui a sua própria matriz de desenho.

note: i18n: ectx: (IRT parameter estimation: Partial credit model) <dialog label="...">
en: IRT parameter estimation: Partial credit model
pt_BR: Estimativa do parâmetro IRT: Modelo de crédito parcial

note: i18n: ectx: (Loaded from IRT parameter estimation: Rating scale model)
en: RSM  parameter estimation
pt_BR: Estimativa de parâmetros RSM

note: i18n: ectx: (Loaded from IRT parameter estimation: Rating scale model) <usage>
en: To fit the rating scale model with default settings, just the matrix of manifest variables (item responses) must be selected. Further options are described in the sections below. For detailed information on the expected layout of matrices and vectors please refer to the manual for the <link href="rkward://rhelp/RSM">RSM()</link> function.
pt_BR: Para se ajustar ao modelo de escalas de classificação (RSM) com as configurações padrão, basta selecionar a matriz das variáveis de manifesto (respostas do item). As opções adicionais são descritas nas seções abaixo. Para obter informações mais detalhadas sobre o layout esperado para as matrizes e vetores, consulte o manual da função <link href="rkward://rhelp/RSM">RSM()</link>.

note: i18n: ectx: (Loaded from IRT parameter estimation: Rating scale model) <settings> <setting> (refers to element labelled "Design matrix")
en: By default the design matrix for the RSM will be computed automatically. Alternatively, you may specify your own design matrix here.
pt_BR: Por padrão, a matriz de desenho do RSM será calculada automaticamente. Alternativamente, você poderá definir aqui a sua própria matriz de desenho.

note: i18n: ectx: (IRT parameter estimation: Rating scale model) <dialog label="...">
en: IRT parameter estimation: Rating scale model
pt_BR: Estimativa do parâmetro IRT: Modelo de escala de classificação

note: i18n: ectx: (Loaded from Wald test)
en: Wald test (%1)
pt_BR: Teste de Wald (%1)

note: i18n: ectx: (Loaded from Wald test)
en: Wald test on item level (z-values):
pt_BR: Teste de Wald para o nível do item (valores em z):

note: i18n: ectx: (Wald test) <dialog label="...">
en: Wald test
pt_BR: Teste de Wald

note: i18n: ectx: (Cronbach's alpha) <dialog label="Cronbach's alpha"> <tab label="..."> i18n: ectx: (Goodness of Fit (Rasch model)) <dialog label="Goodness of Fit (Rasch model)"> <tab label="..."> i18n: ectx: (Unidimensionality check (Rasch, LTM, 3PM)) <dialog label="Unidimensionality check (Rasch, LTM, 
en: Data
pt_BR: Dados

note: i18n: ectx: (Wald test) <dialog label="Wald test"> <tab label="Data"> <varslot label="...">
en: Choose fitted model to test:
pt_BR: Escolha o modelo ajustado a testar:

note: i18n: ectx: (Wald test) <dialog label="Wald test"> <tab label="Data"> <text> i18n: ectx: (Andersen LR-Test) <dialog label="Andersen LR-Test"> <tab label="Model"> <text> i18n: ectx: (Plotting fitted rating scale model) <dialog label="Plotting fitted rating scale model"> <tab label="Model"> <text> i18
en: Only objects of class Rm are valid!
pt_BR: Apenas os objetos da classe Rm são válidos!

note: i18n: ectx: (Wald test) <dialog label="Wald test"> <tab label="Options"> <radio label="..."> i18n: ectx: (Andersen LR-Test) <dialog label="Andersen LR-Test"> <tab label="Model"> <radio label="...">
en: Split criterion for subject raw scores
pt_BR: Critérios divididos para os resultados brutos do sujeito

note: i18n: ectx: (Wald test) <dialog label="Wald test"> <tab label="Options"> <radio label="Split criterion for subject raw scores"> <option label="..."> i18n: ectx: (Andersen LR-Test) <dialog label="Andersen LR-Test"> <tab label="Model"> <radio label="Split criterion for subject raw scores"> <option lab
en: Median
pt_BR: Mediana

note: i18n: ectx: (Wald test) <dialog label="Wald test"> <tab label="Options"> <radio label="Split criterion for subject raw scores"> <option label="..."> i18n: ectx: (Andersen LR-Test) <dialog label="Andersen LR-Test"> <tab label="Model"> <radio label="Split criterion for subject raw scores"> <option lab
en: Mean
pt_BR: Média

note: i18n: ectx: (Wald test) <dialog label="Wald test"> <tab label="Options"> <radio label="Split criterion for subject raw scores"> <option label="...">
en: Use dichotomous vector to define groups
pt_BR: Usar o vetor dicotômico para definir os grupos

note: i18n: ectx: (Wald test) <dialog label="Wald test"> <tab label="Options"> <varslot label="..."> i18n: ectx: (Andersen LR-Test) <dialog label="Andersen LR-Test"> <tab label="Model"> <varslot label="...">
en: Select grouping vector:
pt_BR: Selecione o vetor de agrupamento:

note: i18n: ectx: (Wald test) <dialog label="Wald test"> <tab label="Options"> <frame label="...">
en: Optimizer
pt_BR: Otimizador

note: i18n: ectx: <components> <component label="..."> i18n: ectx: (Loaded from Cronbach's alpha) i18n: ectx: (Cronbach's alpha) <dialog label="...">
en: Cronbach's alpha
pt_BR: Alfa de Cronbach

note: i18n: ectx: (Loaded from Cronbach's alpha)
en: Dataset
pt_BR: Conjunto de dados

note: i18n: ectx: (Loaded from Cronbach's alpha)
en: Subset
pt_BR: Subconjunto

note: i18n: ectx: (Loaded from Cronbach's alpha)
en: Items:
pt_BR: Itens:

note: i18n: ectx: (Loaded from Cronbach's alpha)
en: <br />Sample units:
pt_BR: <br />Unidades da amostra:

note: i18n: ectx: (Loaded from Cronbach's alpha)
en: Effects on alpha if items are removed:
pt_BR: Efeitos no alfa se os itens forem removidos:

note: i18n: ectx: (Loaded from Cronbach's alpha)
en: %1% Confidence interval:
pt_BR: Intervalo de confiança em %1%:

note: i18n: ectx: (Cronbach's alpha) <dialog label="Cronbach's alpha"> <tab label="Data"> <varslot label="...">
en: Item responses:
pt_BR: Respostas do item:

note: i18n: ectx: (Cronbach's alpha) <dialog label="Cronbach's alpha"> <tab label="Data"> <text>
en: Must be a matrix or data.frame, including the items as columns.
pt_BR: Deve ser uma matriz ou uma lista de dados, incluindo os itens como colunas.

note: i18n: ectx: (Cronbach's alpha) <dialog label="Cronbach's alpha"> <tab label="Data"> <frame label="Options"> <spinbox label="...">
en: Number of Bootstrap samples:
pt_BR: Número de amostras de inicialização:

note: i18n: ectx: (Cronbach's alpha) <dialog label="Cronbach's alpha"> <tab label="Data"> <frame label="Options"> <checkbox label="...">
en: Compute standardized Cronbach's alpha
pt_BR: Calcular o fator padrão alfa de Cronbach

note: i18n: ectx: (Cronbach's alpha) <dialog label="Cronbach's alpha"> <tab label="Data"> <frame label="Options"> <checkbox label="...">
en: Ignore missing values
pt_BR: Ignorar os valores ausentes

note: i18n: ectx: (Cronbach's alpha) <dialog label="Cronbach's alpha"> <tab label="Data"> <frame label="Options"> <checkbox label="...">
en: Compute Bootstrap confidence interval (CI)
pt_BR: Calcular o Intervalo de Confiança de inicialização (IC)

note: i18n: ectx: (Cronbach's alpha) <dialog label="Cronbach's alpha"> <tab label="Data"> <frame label="Options"> <spinbox label="...">
en: Confidence interval:
pt_BR: Intervalo de confiança:

note: i18n: ectx: (Loaded from Goodness of Fit (Rasch model))
en: Goodness of Fit for Rasch Models (%1)
pt_BR: Adequação de ajuste aos modelos de Rasch (%1)

note: i18n: ectx: (Goodness of Fit (Rasch model)) <dialog label="...">
en: Goodness of Fit (Rasch model)
pt_BR: Adequação de ajuste (modelo de Rasch)

note: i18n: ectx: (Goodness of Fit (Rasch model)) <dialog label="Goodness of Fit (Rasch model)"> <tab label="Data"> <varslot label="..."> i18n: ectx: (Item-fit statistics for Rasch, LTM and 3PM) <dialog label="Item-fit statistics for Rasch, LTM and 3PM"> <tab label="Data"> <varslot label="..."> i18n: ectx
en: Choose fitted model to examine:
pt_BR: Escolha o modelo ajustado a examinar:

note: i18n: ectx: (Goodness of Fit (Rasch model)) <dialog label="Goodness of Fit (Rasch model)"> <tab label="Data"> <text> i18n: ectx: (Plotting fitted Rasch model) <dialog label="Plotting fitted Rasch model"> <tab label="Model"> <text>
en: Only objects of class rasch are valid!
pt_BR: Apenas os objetos da classe Rasch são válidos!

note: i18n: ectx: (Goodness of Fit (Rasch model)) <dialog label="Goodness of Fit (Rasch model)"> <tab label="Data"> <frame label="...">
en: Bootstrap options
pt_BR: Opções de inicialização

note: i18n: ectx: (Goodness of Fit (Rasch model)) <dialog label="Goodness of Fit (Rasch model)"> <tab label="Data"> <frame label="Bootstrap options"> <spinbox label="...">
en: Number of samples
pt_BR: Número de amostras

note: i18n: ectx: (Loaded from Item-fit statistics for Rasch, LTM and 3PM)
en: Item-fit statistics (%1)
pt_BR: Estatísticas de ajuste ao item (%1)

note: i18n: ectx: (Loaded from Item-fit statistics for Rasch, LTM and 3PM)
en: Alternative: Items do not fit the model
pt_BR: Alternativa: Os itens não se ajustam ao modelo

note: i18n: ectx: (Loaded from Item-fit statistics for Rasch, LTM and 3PM)
en: Ability Categories:
pt_BR: Categorias de capacidade:

note: i18n: ectx: (Loaded from Unidimensionality check (Rasch, LTM, 3PM)) i18n: ectx: (Loaded from Item-fit statistics for Rasch, LTM and 3PM)
en: Monte Carlo samples:
pt_BR: Amostras de Monte Carlo:

note: i18n: ectx: (Loaded from Item-fit statistics for Rasch, LTM and 3PM)
en: Item-Fit Statistics and P-values:
pt_BR: Estatísticas de ajuste ao item e valores P:

note: i18n: ectx: (Item-fit statistics for Rasch, LTM and 3PM) <dialog label="...">
en: Item-fit statistics for Rasch, LTM and 3PM
pt_BR: Estatísticas de ajuste do item para o Rasch, LTM e 3PM

note: i18n: ectx: (Item-fit statistics for Rasch, LTM and 3PM) <dialog label="Item-fit statistics for Rasch, LTM and 3PM"> <tab label="Data"> <text> i18n: ectx: (Person-fit statistics for Rasch, LTM and 3PM) <dialog label="Person-fit statistics for Rasch, LTM and 3PM"> <tab label="Data"> <text>
en: Only objects of class ltm, rasch and tpm are valid!
pt_BR: Apenas os objetos da classe ltm, rasch e tpm são válidos!

note: i18n: ectx: (Item-fit statistics for Rasch, LTM and 3PM) <dialog label="Item-fit statistics for Rasch, LTM and 3PM"> <tab label="Options"> <frame label="...">
en: Grouping of sample units
pt_BR: Agrupamento das unidades da amostra

note: i18n: ectx: (Item-fit statistics for Rasch, LTM and 3PM) <dialog label="Item-fit statistics for Rasch, LTM and 3PM"> <tab label="Options"> <frame label="Grouping of sample units"> <spinbox label="...">
en: Number of categories
pt_BR: Número de categorias

note: i18n: ectx: (Item-fit statistics for Rasch, LTM and 3PM) <dialog label="Item-fit statistics for Rasch, LTM and 3PM"> <tab label="Options"> <frame label="Grouping of sample units"> <dropdown label="...">
en: Summarize the ability estimates by
pt_BR: Resumir as estimativas de capacidade em

note: i18n: ectx: (Item-fit statistics for Rasch, LTM and 3PM) <dialog label="Item-fit statistics for Rasch, LTM and 3PM"> [...] <dropdown label="Summarize the ability estimates by"> <option label="...">
en: Median of each group
pt_BR: Mediana de cada grupo

note: i18n: ectx: (Item-fit statistics for Rasch, LTM and 3PM) <dialog label="Item-fit statistics for Rasch, LTM and 3PM"> [...] <dropdown label="Summarize the ability estimates by"> <option label="...">
en: Mean of each group
pt_BR: Média de cada grupo

note: i18n: ectx: (Item-fit statistics for Rasch, LTM and 3PM) <dialog label="Item-fit statistics for Rasch, LTM and 3PM"> <tab label="Options"> <radio label="..."> i18n: ectx: (Person-fit statistics for Rasch, LTM and 3PM) <dialog label="Person-fit statistics for Rasch, LTM and 3PM"> <tab label="Options"
en: p value assumptions
pt_BR: assunções do valor de 'p'

note: i18n: ectx: (Item-fit statistics for Rasch, LTM and 3PM) <dialog label="Item-fit statistics for Rasch, LTM and 3PM"> <tab label="Options"> <radio label="p value assumptions"> <option label="...">
en: Assume chi-squared distribution
pt_BR: Assumir a distribuição qui-quadrado

note: i18n: ectx: (Item-fit statistics for Rasch, LTM and 3PM) <dialog label="Item-fit statistics for Rasch, LTM and 3PM"> <tab label="Options"> <radio label="p value assumptions"> <option label="..."> i18n: ectx: (Person-fit statistics for Rasch, LTM and 3PM) <dialog label="Person-fit statistics for Rasc
en: Use Monte Carlo procedure to approximate distribution
pt_BR: Usar o procedimento de Monte Carlo para aproximar a distribuição

note: i18n: ectx: (Item-fit statistics for Rasch, LTM and 3PM) <dialog label="Item-fit statistics for Rasch, LTM and 3PM"> <tab label="Options"> <spinbox label="..."> i18n: ectx: (Person-fit statistics for Rasch, LTM and 3PM) <dialog label="Person-fit statistics for Rasch, LTM and 3PM"> <tab label="Option
en: Number of replications
pt_BR: Número de replicações

note: i18n: ectx: (Loaded from Person-fit statistics for Rasch, LTM and 3PM)
en: Person-fit statistics (%1)
pt_BR: Estatísticas de ajuste à pessoa (%1)

note: i18n: ectx: (Loaded from Person-fit statistics for Rasch, LTM and 3PM)
en: Response patterns, person-fit statistics (L0, Lz) and probabilities for each response pattern (Pr):
pt_BR: Padrões de resposta, estatísticas de ajuste à pessoa (L0, Lz) e probabilidades de cada padrão de resposta (Pr):

note: i18n: ectx: (Person-fit statistics for Rasch, LTM and 3PM) <dialog label="...">
en: Person-fit statistics for Rasch, LTM and 3PM
pt_BR: Estatísticas de ajuste à pessoa para o Rasch, LTM e 3PM

note: i18n: ectx: (Person-fit statistics for Rasch, LTM and 3PM) <dialog label="Person-fit statistics for Rasch, LTM and 3PM"> <tab label="Data"> <radio label="...">
en: Alternative hypothesis to test
pt_BR: Hipótese alternativa a testar

note: i18n: ectx: (Person-fit statistics for Rasch, LTM and 3PM) <dialog label="Person-fit statistics for Rasch, LTM and 3PM"> <tab label="Data"> <radio label="Alternative hypothesis to test"> <option label="...">
en: Inconsistent response pattern under the estimated model
pt_BR: Padrão de resposta inconsistente segundo o modelo estimado

note: i18n: ectx: (Person-fit statistics for Rasch, LTM and 3PM) <dialog label="Person-fit statistics for Rasch, LTM and 3PM"> <tab label="Data"> <radio label="Alternative hypothesis to test"> <option label="...">
en: More consistent response pattern than the model predicts
pt_BR: Padrão de resposta mais consistente do que o modelo prevê

note: i18n: ectx: (Person-fit statistics for Rasch, LTM and 3PM) <dialog label="Person-fit statistics for Rasch, LTM and 3PM"> <tab label="Data"> <radio label="Alternative hypothesis to test"> <option label="...">
en: Two sided (test both of the above)
pt_BR: Dois lados (testar ambos os anteriores)

note: i18n: ectx: (Person-fit statistics for Rasch, LTM and 3PM) <dialog label="Person-fit statistics for Rasch, LTM and 3PM"> <tab label="Options"> <radio label="...">
en: Response pattern
pt_BR: Padrão de resposta

note: i18n: ectx: (Person-fit statistics for Rasch, LTM and 3PM) <dialog label="Person-fit statistics for Rasch, LTM and 3PM"> <tab label="Options"> <radio label="Response pattern"> <option label="...">
en: Compute for observed response pattern
pt_BR: Calcular para o padrão de resposta observado

note: i18n: ectx: (Person-fit statistics for Rasch, LTM and 3PM) <dialog label="Person-fit statistics for Rasch, LTM and 3PM"> <tab label="Options"> <radio label="Response pattern"> <option label="...">
en: Compute for given response pattern
pt_BR: Calcular para o padrão de resposta fornecido

note: i18n: ectx: (Person-fit statistics for Rasch, LTM and 3PM) <dialog label="Person-fit statistics for Rasch, LTM and 3PM"> <tab label="Options"> <varslot label="...">
en: Select matrix or data.frame with pattern to use:
pt_BR: Selecione a matriz ou lista de dados com o padrão a usar:

note: i18n: ectx: (Person-fit statistics for Rasch, LTM and 3PM) <dialog label="Person-fit statistics for Rasch, LTM and 3PM"> <tab label="Options"> <radio label="p value assumptions"> <option label="...">
en: Assume standard normal distribution
pt_BR: Assumir uma distribuição padrão normal

note: i18n: ectx: (Loaded from Unidimensionality check (Rasch, LTM, 3PM))
en: Unidimensionality check (%1)
pt_BR: Verificação de unidimensionalidade (%1)

note: i18n: ectx: (Loaded from Unidimensionality check (Rasch, LTM, 3PM))
en: Matrix of tetrachoric correlations:
pt_BR: Matriz de correlações tetracóricas:

note: i18n: ectx: (Loaded from Unidimensionality check (Rasch, LTM, 3PM))
en: Unidimensionality Check using Modified Parallel Analysis:
pt_BR: Verificação de unidimensionalidade com análise paralela modificada:

note: i18n: ectx: (Loaded from Unidimensionality check (Rasch, LTM, 3PM))
en: Alternative hypothesis: <em>The second eigenvalue of the observed data is substantially larger than the second eigenvalue of data under the assumed IRT model</em>
pt_BR: Hipótese alternativa: <em>O segundo valor de Eigen dos dados observados é substancialmente maior que o segundo valor de Eigen dos dados segundo o modelo de IRT assumido</em>

note: i18n: ectx: (Loaded from Unidimensionality check (Rasch, LTM, 3PM))
en: Second eigenvalue in the observed data:
pt_BR: Segundo valor de Eigen nos dados observados:

note: i18n: ectx: (Loaded from Unidimensionality check (Rasch, LTM, 3PM))
en: Average of second eigenvalues in Monte Carlo samples:
pt_BR: Média dos segundos valores de Eigen nas amostras de Monte Carlo:

note: i18n: ectx: (Loaded from Unidimensionality check (Rasch, LTM, 3PM))
en: p-value:
pt_BR: valor-p:

note: i18n: ectx: <components> <component label="..."> i18n: ectx: (Unidimensionality check (Rasch, LTM, 3PM)) <dialog label="...">
en: Unidimensionality check (Rasch, LTM, 3PM)
pt_BR: Verificação de unidimensionalidade (Rasch, LTM, 3PM)

note: i18n: ectx: (Unidimensionality check (Rasch, LTM, 3PM)) <dialog label="Unidimensionality check (Rasch, LTM, 3PM)"> <tab label="Data"> <varslot label="...">
en: Choose fitted model to check:
pt_BR: Escolha o modelo ajustado a verificar:

note: i18n: ectx: (Unidimensionality check (Rasch, LTM, 3PM)) <dialog label="Unidimensionality check (Rasch, LTM, 3PM)"> <tab label="Data"> <text>
en: Only objects of class rasch, ltm or tpm are valid!
pt_BR: Apenas os objetos da classe rasch, ltm ou tpm são válidos!

note: i18n: ectx: (Unidimensionality check (Rasch, LTM, 3PM)) <dialog label="Unidimensionality check (Rasch, LTM, 3PM)"> <tab label="Data"> <frame label="...">
en: Monte Carlo options
pt_BR: Opções de Monte Carlo

note: i18n: ectx: (Unidimensionality check (Rasch, LTM, 3PM)) <dialog label="Unidimensionality check (Rasch, LTM, 3PM)"> <tab label="Data"> <frame label="Monte Carlo options"> <spinbox label="...">
en: Number of samples:
pt_BR: Número de amostras:

note: i18n: ectx: <about name="..."> i18n: ectx: <hierarchy> <menu label="Analysis"> <menu label="..."> i18n: ectx: <hierarchy> <menu label="Plots"> <menu label="...">
en: Item Response Theory
pt_BR: Teoria da resposta do item

note: i18n: ectx: <about shortinfo="...">
en: Item Response Theory Plugins. Part of the official RKWard distribution
pt_BR: Plugins de teoria de respostas do item. Integra a distribuição oficial do RKWard

note: i18n: ectx: <components> <component label="...">
en: Rasch model fit
pt_BR: Ajuste ao modelo de Rasch

note: i18n: ectx: <components> <component label="...">
en: Two parameter logistic model fit
pt_BR: Ajuste ao modelo logístico de dois parâmetros

note: i18n: ectx: <components> <component label="...">
en: Birnbaum three parameter model fit
pt_BR: Ajuste ao modelo de Birnbaum de três parâmetros

note: i18n: ectx: <components> <component label="...">
en: Linear logistic test model fit
pt_BR: Ajuste ao modelo logístico de testes linear

note: i18n: ectx: <components> <component label="...">
en: Graded response model fit
pt_BR: Ajuste ao modelo de resposta graduada

note: i18n: ectx: <components> <component label="...">
en: Rating scale model fit
pt_BR: Ajuste ao modelo de escala por classificações

note: i18n: ectx: <components> <component label="...">
en: Partial credit model fit
pt_BR: Ajuste ao modelo de crédito parcial

note: i18n: ectx: <components> <component label="...">
en: Generalized partial credit model fit
pt_BR: Ajuste ao modelo de crédito parcial generalizado

note: i18n: ectx: <components> <component label="...">
en: Linear rating scale model fit
pt_BR: Ajuste ao modelo de escala por classificações linear

note: i18n: ectx: <components> <component label="...">
en: Linear partial credit model fit
pt_BR: Ajuste ao modelo de crédito parcial linear

note: i18n: ectx: <components> <component label="...">
en: Goodness of Fit (Rasch)
pt_BR: Adequação do ajuste (Rasch)

note: i18n: ectx: <components> <component label="...">
en: Item-fit statistics (Rasch, LTM, 3PM)
pt_BR: Estatísticas de ajuste do item (Rasch, LTM, 3PM)

note: i18n: ectx: <components> <component label="...">
en: Person-fit statistics (Rasch, LTM, 3PM)
pt_BR: Estatísticas de ajuste à pessoa (Rasch, LTM, 3PM)

note: i18n: ectx: <components> <component label="...">
en: Wald test (RSM, PCM)
pt_BR: Teste de Wald (RSM, PCM)

note: i18n: ectx: <components> <component label="...">
en: Andersen LR Plot (RSM, PCM)
pt_BR: Gráfico LR de Andersen (RSM, PCM)

note: i18n: ectx: <components> <component label="...">
en: Plot fitted Rasch model
pt_BR: Gráfico do modelo de Rasch ajustado

note: i18n: ectx: <components> <component label="...">
en: Plot fitted two parameter logistic model
pt_BR: Gráfico do modelo logístico ajustado de dois parâmetros

note: i18n: ectx: <components> <component label="...">
en: Plot fitted Birnbaum three parameter model
pt_BR: Gráfico do modelo ajustado de Birnbaum de três parâmetros

note: i18n: ectx: <components> <component label="...">
en: Plot fitted graded response model
pt_BR: Gráfico do modelo ajustado de resposta graduada

note: i18n: ectx: <components> <component label="...">
en: Plot fitted rating scale model
pt_BR: Gráfico do modelo ajustado da escala por classificações

note: i18n: ectx: <components> <component label="...">
en: Plot fitted partial credit model
pt_BR: Gráfico do modelo ajustado de crédito parcial

note: i18n: ectx: <hierarchy> <menu label="...">
en: Analysis
pt_BR: Análise

note: i18n: ectx: <hierarchy> <menu label="Analysis"> <menu label="Item Response Theory"> <menu label="..."> i18n: ectx: <hierarchy> <menu label="Plots"> <menu label="Item Response Theory"> <menu label="...">
en: Dichotomous data
pt_BR: Dados dicotômicos

note: i18n: ectx: <hierarchy> <menu label="Analysis"> <menu label="Item Response Theory"> <menu label="..."> i18n: ectx: <hierarchy> <menu label="Plots"> <menu label="Item Response Theory"> <menu label="...">
en: Polytomous data
pt_BR: Dados politômicos

note: i18n: ectx: <hierarchy> <menu label="Analysis"> <menu label="Item Response Theory"> <menu label="...">
en: Tests
pt_BR: Testes

note: i18n: ectx: <hierarchy> <menu label="...">
en: Plots
pt_BR: Gráficos

note: i18n: ectx: (Loaded from Plotting fitted 2PL model)
en: Two parameter logistic model plot
pt_BR: Gráfico do modelo logístico de dois parâmetros

[ctx: R code comment]
note: i18n: ectx: (Loaded from Plotting fitted Rasch model) i18n: ectx: (Loaded from Plotting fitted 2PL model) i18n: ectx: (Loaded from Plotting fitted 3PL model) i18n: ectx: (Loaded from Plotting fitted graded response model)
en: two steps are needed to plot standard error curves
pt_BR: são necessários dois passos para desenhar as curvas padrão de erros

[ctx: R code comment]
note: i18n: ectx: (Loaded from Plotting fitted Rasch model) i18n: ectx: (Loaded from Plotting fitted 2PL model) i18n: ectx: (Loaded from Plotting fitted 3PL model) i18n: ectx: (Loaded from Plotting fitted graded response model)
en: first some values are generated...
pt_BR: são gerados alguns valores em primeiro lugar...

[ctx: R code comment]
note: i18n: ectx: (Loaded from Plotting fitted Rasch model) i18n: ectx: (Loaded from Plotting fitted 2PL model) i18n: ectx: (Loaded from Plotting fitted 3PL model) i18n: ectx: (Loaded from Plotting fitted graded response model)
en: ... and then they're used to plot the curves:
pt_BR: ... e depois são usados para desenhar as curvas:

[ctx: Item response theory]
note: i18n: ectx: (Loaded from Plotting fitted Rasch model) i18n: ectx: (Loaded from Plotting fitted 2PL model) i18n: ectx: (Loaded from Plotting fitted 3PL model) i18n: ectx: (Loaded from Plotting fitted graded response model)
en: Ability
pt_BR: Capacidade

note: i18n: ectx: (Loaded from Plotting fitted Rasch model) i18n: ectx: (Loaded from Plotting fitted 2PL model) i18n: ectx: (Loaded from Plotting fitted 3PL model) i18n: ectx: (Loaded from Plotting fitted graded response model)
en: Standard Error
pt_BR: Erro padrão

note: i18n: ectx: (Loaded from Plotting fitted Rasch model) i18n: ectx: (Loaded from Plotting fitted 2PL model) i18n: ectx: (Loaded from Plotting fitted 3PL model) i18n: ectx: (Loaded from Plotting fitted graded response model)
en: Standard Error of Measurement
pt_BR: Erro padrão de medição

note: i18n: ectx: (Plotting fitted 2PL model) <dialog label="...">
en: Plotting fitted 2PL model
pt_BR: Desenhando o modelo ajustado de 2PL

note: i18n: ectx: (Andersen LR-Test) <dialog label="Andersen LR-Test"> <tab label="..."> i18n: ectx: (Plotting fitted Rasch model) <dialog label="Plotting fitted Rasch model"> <tab label="..."> i18n: ectx: (Plotting fitted 2PL model) <dialog label="Plotting fitted 2PL model"> <tab label="..."> i18n: ectx:
en: Model
pt_BR: Modelo

note: i18n: ectx: (Plotting fitted Rasch model) <dialog label="Plotting fitted Rasch model"> <tab label="Model"> <varslot label="..."> i18n: ectx: (Plotting fitted 2PL model) <dialog label="Plotting fitted 2PL model"> <tab label="Model"> <varslot label="..."> i18n: ectx: (Plotting fitted 3PL model) <dialo
en: Choose fitted model to plot:
pt_BR: Escolha o modelo ajustado a desenhar:

note: i18n: ectx: (Plotting fitted 2PL model) <dialog label="Plotting fitted 2PL model"> <tab label="Model"> <text>
en: Only objects of class ltm are valid!
pt_BR: Apenas os objetos da classe ltm são válidos!

note: i18n: ectx: (Plotting fitted Rasch model) <dialog label="Plotting fitted Rasch model"> <tab label="..."> i18n: ectx: (Plotting fitted 2PL model) <dialog label="Plotting fitted 2PL model"> <tab label="..."> i18n: ectx: (Plotting fitted 3PL model) <dialog label="Plotting fitted 3PL model"> <tab label=
en: Plot type
pt_BR: Tipo de gráfico

note: i18n: ectx: (Plotting fitted Rasch model) <dialog label="Plotting fitted Rasch model"> <tab label="Plot type"> <radio label="..."> i18n: ectx: (Plotting fitted 2PL model) <dialog label="Plotting fitted 2PL model"> <tab label="Plot type"> <radio label="..."> i18n: ectx: (Plotting fitted 3PL model) <d
en: Type of plot
pt_BR: Tipo de gráfico

note: i18n: ectx: (Plotting fitted Rasch model) <dialog label="Plotting fitted Rasch model"> <tab label="Plot type"> <radio label="Type of plot"> <option label="..."> i18n: ectx: (Plotting fitted 2PL model) <dialog label="Plotting fitted 2PL model"> <tab label="Plot type"> <radio label="Type of plot"> <op
en: Plot item(s)
pt_BR: Desenhar item(s)

note: i18n: ectx: (Plotting fitted Rasch model) <dialog label="Plotting fitted Rasch model"> <tab label="Plot type"> <radio label="Type of plot"> <option label="..."> i18n: ectx: (Plotting fitted 2PL model) <dialog label="Plotting fitted 2PL model"> <tab label="Plot type"> <radio label="Type of plot"> <op
en: Plot test information
pt_BR: Desenhar a informação de teste

note: i18n: ectx: (Plotting fitted Rasch model) <dialog label="Plotting fitted Rasch model"> <tab label="Plot type"> <radio label="Type of plot"> <option label="..."> i18n: ectx: (Plotting fitted 2PL model) <dialog label="Plotting fitted 2PL model"> <tab label="Plot type"> <radio label="Type of plot"> <op
en: Plot standard error
pt_BR: Desenhar o erro padrão

note: i18n: ectx: (Plotting fitted 2PL model) <dialog label="Plotting fitted 2PL model"> <tab label="Plot type"> <radio label="Type of plot"> <option label="...">
en: Scatterplot of standardized loadings (2-factor model)
pt_BR: Gráfico de dispersão dos carregamentos normalizados (modelo de 2 fatores)

note: i18n: ectx: (Plotting fitted Rasch model) <dialog label="Plotting fitted Rasch model"> <tab label="Plot type"> <radio label="..."> i18n: ectx: (Plotting fitted 2PL model) <dialog label="Plotting fitted 2PL model"> <tab label="Plot type"> <radio label="..."> i18n: ectx: (Plotting fitted 3PL model) <d
en: Type of item plot
pt_BR: Tipo de gráfico do item

note: i18n: ectx: (Plotting fitted Rasch model) <dialog label="Plotting fitted Rasch model"> <tab label="Plot type"> <radio label="Type of item plot"> <option label="..."> i18n: ectx: (Plotting fitted 2PL model) <dialog label="Plotting fitted 2PL model"> <tab label="Plot type"> <radio label="Type of item 
en: Item characteristic curve
pt_BR: Curva de característica do item

note: i18n: ectx: (Plotting fitted Rasch model) <dialog label="Plotting fitted Rasch model"> <tab label="Plot type"> <radio label="Type of item plot"> <option label="..."> i18n: ectx: (Plotting fitted 2PL model) <dialog label="Plotting fitted 2PL model"> <tab label="Plot type"> <radio label="Type of item 
en: Item information curve
pt_BR: Curva de informação do item

note: i18n: ectx: (Andersen LR-Test) <dialog label="Andersen LR-Test"> <tab label="Plot options"> <frame label="..."> i18n: ectx: (Plotting fitted Rasch model) <dialog label="Plotting fitted Rasch model"> <tab label="Plot type"> <frame label="..."> i18n: ectx: (Plotting fitted 2PL model) <dialog label="Pl
en: Optional item selection
pt_BR: Seleção opcional do item

note: i18n: ectx: (Andersen LR-Test) <dialog label="Andersen LR-Test"> <tab label="Plot options"> <frame label="Optional item selection"> <input label="..."> i18n: ectx: (Plotting fitted Rasch model) <dialog label="Plotting fitted Rasch model"> <tab label="Plot type"> <frame label="Optional item selection
en: List of items (plot all if empty)
pt_BR: Lista de itens (desenhar todos se estiver vazio)

note: i18n: ectx: (Plotting fitted Rasch model) <dialog label="Plotting fitted Rasch model"> <tab label="Options"> <frame label="..."> i18n: ectx: (Plotting fitted 2PL model) <dialog label="Plotting fitted 2PL model"> <tab label="Options"> <frame label="..."> i18n: ectx: (Plotting fitted 3PL model) <dialo
en: Range of latent variable values
pt_BR: Intervalo de valores latentes da variável

note: i18n: ectx: (Andersen LR-Test) <dialog label="Andersen LR-Test"> <tab label="Plot options"> <frame label="Range of person parameters"> <spinbox label="..."> i18n: ectx: (Plotting fitted Rasch model) <dialog label="Plotting fitted Rasch model"> <tab label="Options"> <frame label="Range of latent vari
en: From:
pt_BR: De:

note: i18n: ectx: (Andersen LR-Test) <dialog label="Andersen LR-Test"> <tab label="Plot options"> <frame label="Range of person parameters"> <spinbox label="..."> i18n: ectx: (Plotting fitted Rasch model) <dialog label="Plotting fitted Rasch model"> <tab label="Options"> <frame label="Range of latent vari
en: To:
pt_BR: Até:

note: i18n: ectx: (Andersen LR-Test) <dialog label="Andersen LR-Test"> <tab label="Plot options"> <radio label="..."> i18n: ectx: (Plotting fitted Rasch model) <dialog label="Plotting fitted Rasch model"> <tab label="Options"> <radio label="..."> i18n: ectx: (Plotting fitted 2PL model) <dialog label="Plot
en: Annotation
pt_BR: Anotação

note: i18n: ectx: (Plotting fitted Rasch model) <dialog label="Plotting fitted Rasch model"> <tab label="Options"> <radio label="Annotation"> <option label="..."> i18n: ectx: (Plotting fitted 2PL model) <dialog label="Plotting fitted 2PL model"> <tab label="Options"> <radio label="Annotation"> <option lab
en: Annotate plotted lines
pt_BR: Anotar as linhas desenhadas

note: i18n: ectx: (Plotting fitted Rasch model) <dialog label="Plotting fitted Rasch model"> <tab label="Options"> <radio label="Annotation"> <option label="..."> i18n: ectx: (Plotting fitted 2PL model) <dialog label="Plotting fitted 2PL model"> <tab label="Options"> <radio label="Annotation"> <option lab
en: Show legend
pt_BR: Mostrar legenda

note: i18n: ectx: (Plotting fitted Rasch model) <dialog label="Plotting fitted Rasch model"> <tab label="Options"> <radio label="Annotation"> <option label="..."> i18n: ectx: (Plotting fitted 2PL model) <dialog label="Plotting fitted 2PL model"> <tab label="Options"> <radio label="Annotation"> <option lab
en: Plain lines, no annotation
pt_BR: Linhas simples, sem anotações

note: i18n: ectx: (Andersen LR-Test) <dialog label="Andersen LR-Test"> <tab label="Plot options"> <embed label="..."> i18n: ectx: (Plotting fitted Rasch model) <dialog label="Plotting fitted Rasch model"> <tab label="Options"> <embed label="..."> i18n: ectx: (Plotting fitted 2PL model) <dialog label="Plot
en: Generic plot options
pt_BR: Opções genéricas do gráfico

note: i18n: ectx: (Loaded from Plotting fitted Rasch model)
en: Rasch model plot
pt_BR: Gráfico do modelo de Rasch

note: i18n: ectx: (Plotting fitted Rasch model) <dialog label="...">
en: Plotting fitted Rasch model
pt_BR: Desenhando o modelo ajustado de Rasch

note: i18n: ectx: (Loaded from Plotting fitted 3PL model)
en: Birnbaum three parameter model plot
pt_BR: Gráfico do modelo de Birnbaum de três parâmetros

note: i18n: ectx: (Plotting fitted 3PL model) <dialog label="...">
en: Plotting fitted 3PL model
pt_BR: Desenhando o modelo ajustado de 3PL

note: i18n: ectx: (Plotting fitted 3PL model) <dialog label="Plotting fitted 3PL model"> <tab label="Model"> <text>
en: Only objects of class tpm are valid!
pt_BR: Apenas os objetos da classe tpm são válidos!

note: i18n: ectx: (Loaded from Plotting fitted graded response model)
en: Graded response model plot
pt_BR: Gráfico do modelo de resposta graduado

note: i18n: ectx: (Plotting fitted graded response model) <dialog label="...">
en: Plotting fitted graded response model
pt_BR: Desenhando o modelo ajustado de resposta graduada

note: i18n: ectx: (Plotting fitted graded response model) <dialog label="Plotting fitted graded response model"> <tab label="Model"> <text>
en: Only objects of class grm are valid!
pt_BR: Apenas os objetos da classe grm são válidos!

note: i18n: ectx: (Plotting fitted graded response model) <dialog label="Plotting fitted graded response model"> <tab label="Plot type"> <radio label="Type of item plot"> <option label="...">
en: Item operation characteristic curve
pt_BR: Curva da característica de operação do item

note: i18n: ectx: (Plotting fitted graded response model) <dialog label="Plotting fitted graded response model"> <tab label="Plot type"> <radio label="Type of item plot"> <option label="...">
en: Item operation characteristic curve (inverse)
pt_BR: Curva da característica de operação do item (inversa)

note: i18n: ectx: (Plotting fitted graded response model) <dialog label="Plotting fitted graded response model"> <tab label="Plot type"> <frame label="Optional item selection"> <spinbox label="...">
en: Category (plot all if set to 0)
pt_BR: Categoria (desenhar todas se igual a 0)

note: i18n: ectx: (Loaded from Plotting fitted partial credit model)
en: Partial credit model plot
pt_BR: Gráfico do modelo de crédito parcial

note: i18n: ectx: (Plotting fitted partial credit model) <dialog label="...">
en: Plotting fitted partial credit model
pt_BR: Desenhando o modelo ajustado de crédito parcial

note: i18n: ectx: (Plotting fitted rating scale model) <dialog label="Plotting fitted rating scale model"> <tab label="Options"> <frame label="Optional item selection"> <checkbox label="..."> i18n: ectx: (Plotting fitted partial credit model) <dialog label="Plotting fitted partial credit model"> <tab labe
en: Plot up to 4 items in one figure
pt_BR: Desenhar até 4 itens em cada figura

note: i18n: ectx: (Plotting fitted rating scale model) <dialog label="Plotting fitted rating scale model"> <tab label="Options"> <frame label="Optional item selection"> <checkbox label="..."> i18n: ectx: (Plotting fitted partial credit model) <dialog label="Plotting fitted partial credit model"> <tab labe
en: Ask before next figure is drawn
pt_BR: Perguntar antes de desenhar a próxima figura

note: i18n: ectx: (Andersen LR-Test) <dialog label="Andersen LR-Test"> <tab label="Plot options"> <frame label="..."> i18n: ectx: (Plotting fitted rating scale model) <dialog label="Plotting fitted rating scale model"> <tab label="Options"> <frame label="..."> i18n: ectx: (Plotting fitted partial credit m
en: Range of person parameters
pt_BR: Intervalo dos parâmetros pessoais

note: i18n: ectx: (Plotting fitted rating scale model) <dialog label="Plotting fitted rating scale model"> <tab label="Options"> <frame label="..."> i18n: ectx: (Plotting fitted partial credit model) <dialog label="Plotting fitted partial credit model"> <tab label="Options"> <frame label="...">
en: Range of probability to solve
pt_BR: Intervalo da probabilidade a resolver

note: i18n: ectx: (Loaded from Plotting fitted rating scale model)
en: Rating scale model plot
pt_BR: Gráfico do modelo de escala por classificações

note: i18n: ectx: (Plotting fitted rating scale model) <dialog label="...">
en: Plotting fitted rating scale model
pt_BR: Desenhando o modelo ajustado de escala por classificações

note: i18n: ectx: (Loaded from Andersen LR-Test)
en: Andersen's LR test
pt_BR: Teste LR de Andersen

note: i18n: ectx: (Andersen LR-Test) <dialog label="...">
en: Andersen LR-Test
pt_BR: Teste LR de Andersen

note: i18n: ectx: (Andersen LR-Test) <dialog label="Andersen LR-Test"> <tab label="Model"> <varslot label="...">
en: Choose fitted model to test (plot):
pt_BR: Escolha o modelo ajustado a testar (gráfico):

note: i18n: ectx: (Andersen LR-Test) <dialog label="Andersen LR-Test"> <tab label="Model"> <radio label="Split criterion for subject raw scores"> <option label="...">
en: Full raw score split
pt_BR: Divisão completa dos resultados brutos

note: i18n: ectx: (Andersen LR-Test) <dialog label="Andersen LR-Test"> <tab label="Model"> <radio label="Split criterion for subject raw scores"> <option label="...">
en: Use vector to define groups
pt_BR: Usar o vetor para definir os grupos

note: i18n: ectx: (Andersen LR-Test) <dialog label="Andersen LR-Test"> <tab label="Model"> <text>
en: Can be numeric, character or a factor
pt_BR: Pode ser numérico, caractere ou um fator

note: i18n: ectx: (Andersen LR-Test) <dialog label="Andersen LR-Test"> <tab label="...">
en: Plot options
pt_BR: Opções do gráfico

note: i18n: ectx: (Andersen LR-Test) <dialog label="Andersen LR-Test"> <tab label="Plot options"> <frame label="..."> i18n: ectx: (Andersen LR-Test) <dialog label="Andersen LR-Test"> <tab label="Plot options"> <frame label="Confidence intervals"> <checkbox label="...">
en: Confidence intervals
pt_BR: Intervalos de confiança

note: i18n: ectx: (Andersen LR-Test) <dialog label="Andersen LR-Test"> <tab label="Plot options"> <frame label="Confidence intervals"> <checkbox label="...">
en: Compute standard errors
pt_BR: Calcular os erros padrão

note: i18n: ectx: (Andersen LR-Test) <dialog label="Andersen LR-Test"> <tab label="Plot options"> <frame label="Confidence intervals"> <spinbox label="...">
en: Confidence level:
pt_BR: Nível de confiança:

note: i18n: ectx: (Andersen LR-Test) <dialog label="Andersen LR-Test"> <tab label="Plot options"> <frame label="Confidence intervals"> <checkbox label="...">
en: Confidence bands
pt_BR: Faixas de confiança

note: i18n: ectx: (Andersen LR-Test) <dialog label="Andersen LR-Test"> <tab label="Plot options"> <radio label="Annotation"> <option label="...">
en: Annotate items (item names)
pt_BR: Anotar os itens (nomes dos itens)

note: i18n: ectx: (Andersen LR-Test) <dialog label="Andersen LR-Test"> <tab label="Plot options"> <radio label="Annotation"> <option label="...">
en: Annotate items (rank number of betas)
pt_BR: Anotar os itens (classificação dos betas)

note: i18n: ectx: (Andersen LR-Test) <dialog label="Andersen LR-Test"> <tab label="Plot options"> <radio label="Annotation"> <option label="...">
en: Plain dots, no annotation
pt_BR: Pontos simples, sem anotações

note: i18n: ectx: (Andersen LR-Test) <dialog label="Andersen LR-Test"> <tab label="Plot options"> <radio label="Annotation"> <option label="...">
en: Interactive labeling
pt_BR: Legendagem interativa

[ctx: Author name]
note: i18n: ectx: <snippets> <snippet> <author name="...">
en: RKWard Team
pt_BR: Equipe do RKWard
