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Correction for Item Response Theory Latent Trait Measurement Error in Linear Mixed Effects Models

Psychometrika, 2019
When latent variables are used as outcomes in regression analysis, a common approach that is used to solve the ignored measurement error issue is to take a multilevel perspective on item response modeling (IRT). Although recent computational advancement allows efficient and accurate estimation of multilevel IRT models, we argue that a two-stage divide ...
Chun Wang, Gongjun Xu, Xue Zhang
openaire   +3 more sources

Impact of Accumulated Error on Item Response Theory Pre-Equating With Mixed Format Tests

Applied Measurement in Education, 2015
ABSTRACTThe equating of tests is an essential processes in high-stakes, large-scale testing conducted over multiple forms or administrations. By adjusting for differences in difficulty and placing scores from different administrations of a test on a common scale, equating allows scores from these different forms and administrations to be directly ...
Lisa A. Keller   +3 more
openaire   +1 more source

The Impact of Varied Discrimination Parameters on Mixed-Format Item Response Theory Model Selection

Educational and Psychological Measurement, 2013
Whittaker, Chang, and Dodd compared the performance of model selection criteria when selecting among mixed-format IRT models and found that the criteria did not perform adequately when selecting the more parameterized models. It was suggested by M. S.
Tiffany A. Whittaker   +2 more
openaire   +1 more source

Using Mixed-Model Item Response Theory to Analyze Organizational Survey Responses: An Illustration Using the Job Descriptive Index

Organizational Research Methods, 2010
In this article, the authors illustrate the use of mixed-model item response theory (MM-IRT) and explain its usefulness for analyzing organizational surveys. The authors begin by giving an overview of MM-IRT, focusing on both technical aspects and previous organizational applications.
Nathan T. Carter   +4 more
openaire   +1 more source

Using Mixed-Measurement Item Response Theory With Covariates (MM-IRT-C) to Ascertain Observed and Unobserved Measurement Equivalence

Organizational Research Methods, 2010
Traditional item response theory (IRT) measurement invariance approaches examine measurement equivalence (ME) between observed groups (e.g., race, gender, culture). By contrast, mixed-measurement item response theory (MM-IRT) ascertains ME among unobserved groups (i.e., latent classes [LC] of respondents distinguished by differences in scale use). Both
Tay, L., Newman, D.A., Vermunt, J.K.
openaire   +1 more source

Uncovering Faking Samples in Applicant, Incumbent, and Experimental Data Sets: An Application of Mixed-Model Item Response Theory

Organizational Research Methods, 2004
Most research on faking personality inventories has assumed that individuals are either faking or responding honestly; distinctions within these two groups are generally not made. A recently developed statistical technique, mixed-model item response theory, was used to identify subgroups within samples of individuals taking two different personality ...
Michael J. Zickar   +2 more
openaire   +1 more source

Item Response Theory and Linear Mixed Models for Normative Data Generation: Evidence from the TAMV-I

Archives of Clinical Neuropsychology
Abstract Objective To evaluate item parameters of the TAMV-I (Verbal Learning and Memory Test) using Item Response Theory (IRT) and to generate normative data based on participant ability scores adjusted for sociodemographic characteristics.
Diego Rivera   +5 more
openaire   +1 more source

The Impact of Item Feature and Response Preference in a Mixed-Format Design

Multivariate Behavioral Research, 2022
Kuan-Yu Jin, Hui-Fang Chen
exaly  

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