پکیج های مربوط به تحلیل ساختار دانش در نرم افزار R
در لینک زیر می توانید پکیج های مربوط به تحلیل ساختار دانش در نرم افزار R را مشاهده کنید:
http://cran.r-project.org/web/views/Psychometrics.html
Functions and example datasets for the psychometric theory of knowledge spaces. Data analysis methods and procedures for simulating data and transforming different formulations in knowledge space theory. |
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Basic functionality to generate, handle, and manipulate deterministic knowledge structures based on sets and relations Functions for fitting probabilistic knowledge structures |
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پکیج های مربوط به دیگر نرم افزارهای مربوط به روانسنجی در نرم افزار R در لینک زیر می توانید پکیج های مربوط به دیگر نرم افزارهای مربوط به روانسنجی در نرم افزار R را مشاهده کنید: http://cran.r-project.org/web/views/Psychometrics.html
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Infrastructure for psychometric modeling such as data classes (e.g., for paired comparisons) and basic model fitting functions (e.g., for Rasch and Bradley-Terry models). |
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Recursive partitioning based on psychometric models, employing the general MOB algorithm (from package party) Currently, only Bradley-Terry trees are provided. |
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Psychometric mixture models based on flexmix infrastructure (at the moment Rasch mixture models and Bradley-Terry mixture models). |
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Functions for non-IRT equating under both random groups and nonequivalent groups with anchor test designs Mean, linear, equipercentile and circle-arc equating as are methods for univariate and bivariate presmoothing of score distributions Specific equating methods currently supported include Tucker, Levine observed score, Levine true score, Braun/Holland, frequency estimation, and chained equating. |
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IRT and non-IRT based statistical indices proposed in the literature for detecting answer copying on multiple-choice examinations |
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Latent class analysis with random effects Function lca() Polytomous variable latent class analysis |
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computation of simple, more-sample, and stepwise configural frequency analysis (CFA). |
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Coefficents for interrater reliability and agreements |
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Generates design matrices for analysing real paired comparisons and derived paired comparison data (Likert type items / ratings or rankings) using a loglinear approach Fits loglinear Bradley-Terry model (LLBT) exploting an eliminate feature Computes pattern models for paired comparisons, rankings, and ratings. Some treatment of missing values (MCAR and MNAR). |
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Bradley-Terry models for paired comparisons Elimination-by-aspects models |
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Psychophysical data Functions to estimate the contribution of the n scales to the judgment by a maximum likelihood method under several hypotheses of how the perceptual dimensions interact. |
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Functions and example datasets for Fechnerian scaling of discrete object sets Computes Fechnerian distances among objects representing subjective dissimilarities, and other related information |
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Functions for nonparametric estimation of a psychometric function and for estimation of a derived threshold and slope, and their standard deviations and confidence intervals |
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Confidence intervals for standardized effect sizes |
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parametric and nonparametric causal mediation analysis conduct sensitivity analysis for certain parametric models |
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Functions for data screening, testing moderation, mediation, and estimating power |
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Social networks with relations at different levels. Multiple networks data sets with routines that combine algebraic structures like the partially ordered semigroup with the existing relational bundles found in multiple networks. |
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Visualizing data as networks |
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Social Relations Analyses for round robin designs Functionality of the SOREMO software New functions like the handling of missing values, significance tests for single groups, or the calculation of the self enhancement index. |
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Fitting and testing multinomial processing tree models, a class of statistical models for categorical data with latent parameters package. The link probabilities of a tree-like graph and represent the cognitive processing steps executed to arrive at observable response categories Analysis of multinomial processing tree (MPT) models. |
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Beta regression for modeling beta-distributed dependent variables, e.g., rates and proportions |
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functions to compare two correlations based on either dependent or independent groups |
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A set of tools that implement profile analysis and cross-validation techniques |
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A GUI for entering test items and obtaining raw and transformed scores. |
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