jeffodero21 Goto Github PK

apa-latex-template

A LaTeX template for composing manuscripts in the American Psychology Assocation's 6th edition format.

graphing-irt

Statistical applications make the calculations of IRT models easier and more accurate than hand calculation. However, not all applications provide the users with some outputs they need. PROC IRT in SAS does not have an option to obtain a graph on test information, standard error of estimate (SES) and log likelihood function (LLF) for a score pattern. The purpose of this paper is to apply dichotomous score IRT theories of one-parameter (1PL), two-parameter (2PL), three-parameter (3PL), and four-parameter (4PL) models and build a macro producing outputs necessary for building a graph for test information and SEE and LLF by score pattern in SAS. The calculation method used is Maximum Likelihood (ML). The users can exploit the given outputs for other uses

guns-data

intro-measurement

Intro to Educational and Psychological Measurement Using R

irt_parameter_estimation

Parameter estimation routines for logistic Item Characteristic Curves (ICC) from Item Response Theory (IRT)

itemstatistics

An Item Statistics Application in Shiny. Item difficulty index, Item Discrimination index, Item Variance, Item Standart Deviation, Item Reliablity Calculation.

jeffodero21

Config files for my GitHub profile.

manova.rm

MANOVA.RM

myrepo718revised

nycflights13

An R data package containing all out-bound flights from NYC in 2013 + useful metdata

oderogit-1

parscale-public

This is the ParScale simulation engine

r-power-simulation-anova

simulation analysis in R to estimate statistical power for ANOVA

shinyitemanalysis

Test and Item Analysis via Shiny

snowirt

This module includes Item Statistics, Model fit, Differential Item Functioning, Wright Map, Expected Scores Curve,and Item Characteristic Curve for DIF using MML estimation of the Rasch measurement model.