Missing values in scored dataset are by default evaluated as 0. Columns of dataset are by default renamed to Item and number of particular column. If the criterion variable is not provided then it wont be possible to run Again, its length needs to be the same as number of individual future study success or future GPA in case of admission tests) which If the group is not provided then it wont be possible to run DIF and DDFĭiscrete or continuous vector (e.g. Its length need to be the same as number of individual Is 0-1 vector, where 0 represents reference groupĪnd 1 represents focal group. Header may contain item names, no row names should be included. The data set represents responses ofĢ,392 subjects (750 males, 1,633 females and 9 subjects without gender specification)įile should contain responses of individual students (rows) to given items ![]() Is a real data set of admission test to medical school For more details of item selection see Drabinova & Martinkova (2017). First item was previously detected asįunctioning differently. The data set represents responses of 1,407 subjects (484 males,ĩ23 females) to multiple-choice test of 20 items. (Drabinova & Martinkova, 2017) is a subset of real Medical School Admission Represents responses of 1,000 subjects (500 males, 500 females) to multiple-choice test To function differently in uniform and non-uniform way respectively. (Drabinova & Martinkova, 2016) is also generated based on parameters of GMAT (Kingston et The distribution of total scores is the same for both groups. The data set represents responses of 2,000 subjects (1,000 males, 1,000 females) to Generated to function differently in uniform and non-uniform way respectively. Is generated based on parameters of real Graduate ManagementĪdmission Test (GMAT) data set (Kingston et al., 1985). Packages or you may upload your own dataset On this page, you may select one of four datasets offered from Merchantability of fitness for a particular purpose.įor demonstration purposes, 20-item dataset It will be useful, but without any warranty without even the implied warranty of This program is distributed in the hope that This program is free software and you can redistribute it and or modify it under the termsĪs published by the Free Software Foundation. Project was supported by grant funded by Czech Science foundation under number If you discover a problem with this application please contact the project maintainer ![]() Stepanek List of packages used library(corrplot) library(CTT) library(data.table) library(deltaPlotR) library(DT) library(difNLR) library(difR) library(ggplot2) library(grid) library(gridExtra) library(knitr) library(latticeExtra) library(ltm) library(mirt) library(moments) library(msm) library(nnet) library(plotly) library(psych) library(psychometric) library(reshape2) library(rmarkdown) library(shiny) library(shinyjs) library(stringr) library(WrightMap) library(xtable) Bug reports In case of busy server you can try other mirrors: You can change the dataset (and try your own one) on pageĪpplication can be downloaded as R package from Additionaly, all application outputs areĬomplemented by selected R code hence the similar analysis can be run and modified in R.įor demonstration purposes, by default, 20-item dataset This application is based on the free statistical softwareįor all graphical outputs a download button is provided. Item analysis by item response theory models onĭifferential item functioning (DIF) and differential distractor functioning (DDF) Provides analysis of educational tests (such as admission tests)Įxploration of total and standard scores onĬorrelation structure and predictive validity analysis on
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