rkward__item_response_theory - en to pt translation catalogue (313 entries)

note: i18n: ectx: (Loaded from IRT parameter estimation: Two parameter logistic model)
en: 2PL parameter estimation
pt: 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: 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: 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: Valor de semelhança do registo à 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: manter os resultados na área de trabalho actual

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: Este 'plugin' estima os parâmetros segundo 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: Os resultados completos poderão ser guardados como um novo objecto na área de trabalho actual para uso posterior (p.ex, gráficos das características de um dado 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: Para se ajustar ao modelo logístico de dois parâmetros com as definições predefinidas, basta seleccionar a matriz das variáveis de manifesto (respostas dicotómicas do item). As opções adicionais são descritas nas secções 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: 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: Seleccione a matriz de respostas dicotómicas do item dos objectos apresentados 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: Se quiser corrigir os parâmetros, tem de preparar uma matriz de restrições de valores fixos primeiro e depois seleccioná-la aqui. Para informações detalhadas sobre o formato específico dessa matriz, consulte por favor 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: Por omissão, os valores iniciais predefinidos para os parâmetros são calculados automaticamente. Em alternativa, poderá forçar a utilização de valores iniciais aleatórios ou indicar uma matriz de valores a usar. Para informações mais detalhada sobre o formato específico dessa matriz, consulte por favor 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: Indica como é que serão tratados os valores em falta. Por omissão, são usados todos os casos disponíveis. Se estiver assinalado, só os casos completos serão tidos em consideração.

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: Se estiver assinalado, as estimativas dos coeficientes são relatadas debaixo da parametrização normal da Teoria de Resposta do Item (por omissão).

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: 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: O valor por omissão 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: 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: O valor por omissão é de 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: 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: O valor por omissão é de 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: Método de optimização

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: O método de optimização é o BFGS. Pode ser configurado como Nelder-Mead, CG, L-BFGS-B ou SANN em alternativa. Veja por favor 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: É relativamente intuitivo ;-)

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: Veja por favor ms manuais do <code>ltm</code> para obter mais informações e opções detalhadas da linha de comandos:

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: A solução de dois factores 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: 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: Variáveis do 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: 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: Gravar os resultados na área 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: 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: Se os parâmetros devem ser fixos (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: 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: 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: 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: 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: 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: 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: 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: 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: 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: Usar um modelo de dois factores com o termo de interacção

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: Controlo 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: Número de iterações de 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: 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: Número de pontos de quadratura 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: Método de optimização:

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: Imprimir alguma informação descritiva sobre a optimização

note: i18n: ectx: (Loaded from IRT parameter estimation: Birnbaum three parameter model)
en: 3PL parameter estimation
pt: 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: Para se ajustar ao modelo de Birnbaum de três parâmetros com as definições predefinidas, basta seleccionar a matriz das variáveis de manifesto (respostas dicotómicas do item). As opções adicionais são descritas nas secções 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: Se quiser corrigir os parâmetros, tem de preparar uma matriz de restrições de valores fixos primeiro e depois seleccioná-la aqui. Para informações detalhadas sobre o formato específico dessa matriz, consulte por favor 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: Limita o parâmetro de adivinha 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: Por omissão, os valores iniciais predefinidos para os parâmetros são calculados automaticamente. Em alternativa, poderá forçar a utilização de valores iniciais aleatórios ou indicar uma matriz de valores a usar. Para informações mais detalhada sobre o formato específico dessa matriz, consulte por favor 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: Se estiver assinalado, assume-se que os parâmetros de discriminação são iguais para todos os itens, como no modelo Rasch 1PL. Isto deixa que os parâmetros de dificuldade e adivinha 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: O valor por omissão é igual a 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: O valor por omissão 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: Optimizador 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: Por omissão, é usado na optimização o <link href="rkward://rhelp/optim">optim()</link>. Em alternativa, poderá invocar o <link href="rkward://rhelp/nlminb">nlminb()</link>.

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: <i>Só se for usado o <code>optim()</code>:</i> O método de optimização por omissão é o BFGS. Pode ser configurado como Nelder-Mead, CG, L-BFGS-B ou SANN em alternativa. Consulte por favor o manual do <link href="rkward://rhelp/optim">optim()</link> para saber mais detalhes.

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: Usado na aproximação de diferenças central, que se aproxima à Hessiana. O valor por omissão 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: Por fazer:

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: O elemento de controlo <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: 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: Limite superior para o 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: 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: Optimizador 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: Tamanho do passo de aproximação

note: i18n: ectx: (Loaded from IRT parameter estimation: Linear logistic test model)
en: LLTM  parameter estimation
pt: Estimativa do parâmetro 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: Semelhança de registo 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 />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 />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: Este 'plugin' estima os parâmetro segundo a aproximação da Teoria de Resposta do Item (IRT), 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: Para se ajustar ao modelo logístico de teste linear com as definições predefinidas, basta seleccionar a matriz das variáveis de manifesto (respostas dicotómicas do item). As opções adicionais são descritas nas secções abaixo. Para informações mais detalhadas sobre o formato esperado para as matrizes e vectores, por favor 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: Se a medição repetida se aplicar, indique quantas são representadas na matriz de dados (por omissão é igual a 1). Isto irá dividir as colunas ma matriz em sub-conjuntos 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: Se quiser calcular contrastes em grupo, deverá indicar um vector que determina a pertença ao grupo de cada sujeito. Por omissão, não são impostos nenhuns contrastes de grupos.

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: Por omissão, a matriz de desenho do LLTM será calculada automaticamente. Em alternativa, 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: Por omissão, os valores ETA começam com o vector-0. Para mudar isto, poderá indicar um vector de valores iniciais.

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: Se estiver assinalado, serão calculados os erros-padrão (como acontece por omissão).

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: Por omissão, os parâmetros são normalizados para a soma-0, indicando uma matriz de desenho apropriada. Desligue 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: Por favor, consulte os manuais do <code>eRm</code> para obter mais informações e opções detalhadas da linha de comandos:

note: i18n: ectx: (IRT parameter estimation: Linear logistic test model) <dialog label="...">
en: IRT parameter estimation: Linear logistic test model
pt: Estimativa do parâmetro de 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: 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: 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: 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: 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: Usar este vector 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: 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: 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: 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: 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: Usar o vector-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: Usar um vector 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: Vector 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: 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: Normalizar os parâmetros à soma-0

note: i18n: ectx: (Loaded from IRT parameter estimation: Rasch model)
en: Rasch parameter estimation
pt: Estimativa do parâmetro de 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: Para se ajustar ao modelo de Rasch com as definições predefinidas, basta seleccionar a matriz das variáveis de manifesto (respostas dicotómicas do item). As opções adicionais são descritas nas secções 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: Se quiser corrigir os parâmetros, tem de preparar uma matriz de restrições de valores fixos primeiro e depois seleccioná-la aqui. Para informações detalhadas sobre o formato específico dessa matriz, consulte por favor 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: Por omissão, os valores iniciais predefinidos para os parâmetros são calculados automaticamente. Em alternativa, poderá forçar a utilização de valores iniciais aleatórios ou indicar uma matriz de valores a usar. Para informações mais detalhada sobre o formato específico dessa matriz, consulte por favor o manual da função <link href="rkward://rhelp/rasch">rasch()</link>.

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

note: i18n: ectx: (Loaded from IRT parameter estimation: Generalized partial credit model)
en: GPCM parameter estimation
pt: Estimativa do parâmetro 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: Para ajustar o modelo de crédito parcial generalizado (GPCM) com as definições por omissão, basta seleccionar a matriz de variáveis de manifesto (respostas politómicas ao item). As opções adicionais são descritas nas secções 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: Seleccione a matriz de respostas politómicas ao item nos objectos apresentados 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: Se apenas quiser usar um sub-conjunto de itens do objecto seleccionado, podê-lo-á 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: Escolha se os parâmetros de discriminação deverão ser calculados para cada item individual. Em alternativa, poderá estimar um parâmetro de discriminação que é igual para todos os itens ou fixá-lo como 1 para todos os itens.

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: Por omissão, os valores iniciais predefinidos para os parâmetros são calculados automaticamente. Em alternativa, poderá forçar a utilização de valores iniciais aleatórios ou indicar uma matriz de valores a usar. Para informações mais detalhada sobre o formato específico dessa matriz, consulte por favor o manual da função <link href="rkward://rhelp/gpcm">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: As opções são uma aproximação da diferença posterior (por omissão) 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: O tamanho do passo a usar para a derivada numérica. O valor por omissão é de 1e-06. Se usar uma aproximação à diferença central, mude isto 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: Estimativa do parâmetro de 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: Selecção 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: Seleccione um sub-conjunto dos 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: Lista dos 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: Se os parâmetros devem ser fixos (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: Cada item tem o 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: 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: Parâmetro de discriminação fixo a 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: 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: 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: 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: 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: Aproximação à diferença central

note: i18n: ectx: (Loaded from IRT parameter estimation: Graded response model)
en: GRM parameter estimation
pt: 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: Para se ajustar ao modelo de resposta graduada com as definições predefinidas, basta seleccionar a matriz das variáveis de manifesto (respostas politómicas do item). As opções adicionais são descritas nas secções 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: 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: Por omissão, os valores iniciais predefinidos para os parâmetros são calculados automaticamente. Em alternativa, poderá forçar a utilização de valores iniciais aleatórios ou indicar uma matriz de valores a usar. Para informações mais detalhada sobre o formato específico dessa matriz, consulte por favor o manual da função <link href="rkward://rhelp/grm">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: Se estiver assinalado, é calculada a matriz Hessiana.

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: Número de algarismos para abreviar os nomes 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: Indica quantos algarismos são usados para abreviar os nomes dos itens. O valor por omissão é 6.

note: i18n: ectx: (IRT parameter estimation: Graded response model) <dialog label="...">
en: IRT parameter estimation: Graded response model
pt: Estimativa do parâmetro de 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: 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: 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: Número de algarismos para abreviar os nomes dos itens:

note: i18n: ectx: (Loaded from IRT parameter estimation: Linear partial credit model)
en: LPCM  parameter estimation
pt: Estimativa do parâmetro 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: Para se ajustar ao modelo de crédito parcial linear com as definições predefinidas, basta seleccionar a matriz das variáveis de manifesto (respostas do item). As opções adicionais são descritas nas secções abaixo. Para informações mais detalhadas sobre o formato esperado para as matrizes e vectores, por favor 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: Seleccione a matriz de respostas do item dos objectos apresentados 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: Por omissão, a matriz de desenho do LPCM será calculada automaticamente. Em alternativa, poderá indicar 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: Estimativa do parâmetro de IRT: Modelo de crédito parcial linear

note: i18n: ectx: (Loaded from IRT parameter estimation: Linear rating scale model)
en: LRSM  parameter estimation
pt: Estimativa do parâmetro de 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: Para se ajustar ao modelo de escalas de classificação com as definições predefinidas, basta seleccionar a matriz das variáveis de manifesto (respostas do item). As opções adicionais são descritas nas secções abaixo. Para informações mais detalhadas sobre o formato esperado para as matrizes e vectores, por favor 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: Por omissão, a matriz de desenho do LRSM será calculada automaticamente. Em alternativa, poderá indicar 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: Estimativa do parâmetro de IRT: Modelo de escala de classificações linear

note: i18n: ectx: (Loaded from IRT parameter estimation: Partial credit model)
en: PCM  parameter estimation
pt: Estimativa do parâmetro 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: Para se ajustar ao modelo de crédito parcial com as definições predefinidas, basta seleccionar a matriz das variáveis de manifesto (respostas do item). As opções adicionais são descritas nas secções abaixo. Para informações mais detalhadas sobre o formato esperado para as matrizes e vectores, por favor 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: Por omissão, a matriz de desenho do PCM será calculada automaticamente. Em alternativa, poderá indicar 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: Estimativa do parâmetro de IRT: Modelo de crédito parcial

note: i18n: ectx: (Loaded from IRT parameter estimation: Rating scale model)
en: RSM  parameter estimation
pt: Estimativa do parâmetro 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: Para se ajustar ao modelo de escala por classificação com as definições predefinidas, basta seleccionar a matriz das variáveis de manifesto (respostas do item). As opções adicionais são descritas nas secções abaixo. Para informações mais detalhadas sobre o formato esperado para as matrizes e vectores, por favor 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: Por omissão, a matriz de desenho do RSM será calculada automaticamente. Em alternativa, poderá indicar 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: Estimativa do parâmetro de IRT: Modelo de escala por classificações

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

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

note: i18n: ectx: (Wald test) <dialog label="...">
en: Wald test
pt: 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: Dados

note: i18n: ectx: (Wald test) <dialog label="Wald test"> <tab label="Data"> <varslot label="...">
en: Choose fitted model to test:
pt: 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: Apenas os objectos 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: Critérios divididos para os pontos do sujeito em bruto

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: 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: 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: Usar o vector dicotómico 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: Seleccione o vector de agrupamento:

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

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: Alfa de Cronbach

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

note: i18n: ectx: (Loaded from Cronbach's alpha)
en: Subset
pt: Sub-Conjunto

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

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

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

note: i18n: ectx: (Loaded from Cronbach's alpha)
en: %1% Confidence interval:
pt: Intervalo de Confiança a %1%:

note: i18n: ectx: (Cronbach's alpha) <dialog label="Cronbach's alpha"> <tab label="Data"> <varslot label="...">
en: Item responses:
pt: 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: Deverá ser uma matriz ou uma trama 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: Número de amostras de arranque:

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: Calcular o factor-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: Ignorar os valores em falta

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: Calcular o intervalo de confiança de arranque (IC)

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

note: i18n: ectx: (Loaded from Goodness of Fit (Rasch model))
en: Goodness of Fit for Rasch Models (%1)
pt: 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: 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: 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: Apenas são válidos os objectos da classe 'rasch'!

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

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: Número de amostras

note: i18n: ectx: (Loaded from Item-fit statistics for Rasch, LTM and 3PM)
en: Item-fit statistics (%1)
pt: 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: 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: 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: 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: 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: 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: Apenas são válidos os objectos da classe 'ltm', 'rasch' e 'tpm'!

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: 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: 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: 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: 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: 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: 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: Assumir a distribuição chi-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: 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: Número de replicações

note: i18n: ectx: (Loaded from Person-fit statistics for Rasch, LTM and 3PM)
en: Person-fit statistics (%1)
pt: 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: Padrões de resposta, estatísticas de ajuste pessoal (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: Estatísticas de ajuste pessoal 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: 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: 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: 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: 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: Padrão da 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: 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: Calcular para o padrão de resposta dado

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: Seleccione a matriz ou trama 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: Assumir uma distribuição-padrão normal

note: i18n: ectx: (Loaded from Unidimensionality check (Rasch, LTM, 3PM))
en: Unidimensionality check (%1)
pt: Verificação de uni-dimensionalidade (%1)

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

note: i18n: ectx: (Loaded from Unidimensionality check (Rasch, LTM, 3PM))
en: Unidimensionality Check using Modified Parallel Analysis:
pt: Verificação de Uni-Dimensionalidade 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: 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: 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: 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: Valor 'p':

note: i18n: ectx: <components> <component label="..."> i18n: ectx: (Unidimensionality check (Rasch, LTM, 3PM)) <dialog label="...">
en: Unidimensionality check (Rasch, LTM, 3PM)
pt: Verificação de uni-dimensionalidade (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: Escolha o modelo de ajuste 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: Apenas são válidos os objectos da classe 'rasch', 'ltm' ou 'tpm'!

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: 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: 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: Teoria da Resposta do Item

note: i18n: ectx: <about shortinfo="...">
en: Item Response Theory Plugins. Part of the official RKWard distribution
pt: 'Plugins' de Teoria de Respostas de um Item. Faz parte da distribuição oficial do RKWard

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

note: i18n: ectx: <hierarchy> <menu label="...">
en: Analysis
pt: 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: Dados dicotómicos

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: Dados politómicos

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

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

note: i18n: ectx: (Loaded from Plotting fitted 2PL model)
en: Two parameter logistic model plot
pt: 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: 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: 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: ... 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: 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: 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: Erro-Padrão de Medição

note: i18n: ectx: (Plotting fitted 2PL model) <dialog label="...">
en: Plotting fitted 2PL model
pt: A desenhar 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: 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: 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: Apenas são válidos objectos da classe 'ltm'!

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: 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: 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: Desenhar os itens

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: 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: 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: Gráfico de dispersão dos carregamentos normalizados (teste de 2 factores)

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: Tipo do 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: 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: 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: Selecção 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: Lista de itens (desenhar todos se 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: 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: 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: 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: 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: 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: Mostrar a 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: 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: Opções genéricas do gráfico

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

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

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

note: i18n: ectx: (Plotting fitted 3PL model) <dialog label="...">
en: Plotting fitted 3PL model
pt: A desenhar 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: Apenas são válidos os objectos da classe 'tpm'!

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

note: i18n: ectx: (Plotting fitted graded response model) <dialog label="...">
en: Plotting fitted graded response model
pt: A desenhar 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: Apenas são válidos objectos da classe 'grm'!

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: 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: 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: Categoria (desenhar todas se igual a 0)

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

note: i18n: ectx: (Plotting fitted partial credit model) <dialog label="...">
en: Plotting fitted partial credit model
pt: A desenhar 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: 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: Perguntar antes de desenhar a figura seguinte

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: 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: Intervalo da probabilidade a resolver

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

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

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

note: i18n: ectx: (Andersen LR-Test) <dialog label="...">
en: Andersen LR-Test
pt: 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: 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: Divisão completa das pontuações em bruto

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: Usar um vector 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: Pode ser numérico, carácter ou um factor

note: i18n: ectx: (Andersen LR-Test) <dialog label="Andersen LR-Test"> <tab label="...">
en: Plot options
pt: 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: 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: 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: 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: Bandas 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: 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: 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: 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: Legendagem interactiva

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