GRAPHICAL IRT-BASED DIF ANALYSES

Re-evaluating a vision-related quality of life questionnaire with item response theory (IRT) and differential item functioning (DIF) analyses

BACKGROUND For the Low Vision Quality Of Life questionnaire (LVQOL) it is unknown whether the psychometric properties are satisfactory when an item response theory (IRT) perspective is considered. This study evaluates some essential psychometric properties of the LVQOL questionnaire in an IRT model, and investigates differential item functioning (DIF). METHODS Cross-sectional data were used f...

Author's response to reviews Title: Re-evaluating a vision-related quality of life questionnaire with item response theory (IRT) and differential item functioning (DIF) analyses Authors:

Graphical Models for Genetic Analyses

This paper introduces graphical models as a natural environment in which to formulate and solve problems in genetics and related areas. Particular emphasis is given to the relationships among various local computation algorithms which have been developed within the hitherto mostly separate areas of graphical models and genetics. The potential of graphical models is explored and illustrated thro...

Embedding Irt in Structural Equation Models: a Comparison with Regression Based on Irt Scores

This paper reviews the problems associated with using IRT-based latent variable scores for analytical modeling, discusses the connection between IRT and SEM-based latent regression modelling for discrete data, and compares regression parameter estimates obtained using predicted IRT scores and standardized Number-Right scores in OLS regression with regression estimates obtained using the combine...

Running head: DIF WITH PASSAGE-BASED TESTLETS Using Five Procedures to Detect DIF with Passage-Based Testlets

The objective of this study was to assess differential item functioning (DIF) for passage-based reading testlets across two gender groups using five procedures and then to compare the results across the procedures. The five procedures were: (1) polytomous logistic regression (PLR; Zumbo, 1999), (2) graded response model (GRM; Samejima, 1969, 1997), (3) Mantel-Haenszel (MH; Zwick, Donoghue, & Gr...