It is important to check the fundamental assumption of most popular Item Response Theory models, unidimensionality. However, it is hard for educational and psychological tests to be strictly unidimensional. The tests studied in this paper are from a standardized high-stake testing program. They feature potential multidimensionality by presenting various item types and item sets. Confirmatory factor analyses with one-factor and bifactor models, and based on both linear structural equation modeling approach and nonlinear IRT approach were conducted. The competing models were compared and the implications of the bifactor model for checking essential unidimensionality were discussed
Providing the most useful and valid inferences from examinee responses is the basic point for resear...
This article provides an empirical illustration of the utility of the bifactor method for unidimensi...
<p>The purpose of this study is to demonstrate four different CFA specifications for reading data wh...
It is important to check the fundamental assumption of most popular Item Response Theory models, uni...
Recent developments in dichotomous factor analysis based on multidimensional item response models (B...
The evaluation of assessment dimensionality is a necessary stage in the gathering of evidence to sup...
A strong assumption made by most commonly used item response theory (IRT) models is that the data ar...
A new index based on the conditional covariance of item scores given a latent variable is defined an...
In educational and psychological measurement, the study of test dimensionality is a fundamental issu...
A simulation investigated use of the difficulty parameter (Bejar, 1980) to evaluate item unidimensi...
A reanalysis of data from Hambleton and Rovinelli (1986) argues that the methods suggested by Bejar...
The use of confirmatory factor analytic procedures to examine the dimensionality of writing skills a...
This study demonstrates the use of multidimensional item response theory (MIRT) to investigate an in...
105 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1987.Currently, the most popular m...
Whenever one uses a composite scale score from item responses, one is tacitly assuming that the sca...
Providing the most useful and valid inferences from examinee responses is the basic point for resear...
This article provides an empirical illustration of the utility of the bifactor method for unidimensi...
<p>The purpose of this study is to demonstrate four different CFA specifications for reading data wh...
It is important to check the fundamental assumption of most popular Item Response Theory models, uni...
Recent developments in dichotomous factor analysis based on multidimensional item response models (B...
The evaluation of assessment dimensionality is a necessary stage in the gathering of evidence to sup...
A strong assumption made by most commonly used item response theory (IRT) models is that the data ar...
A new index based on the conditional covariance of item scores given a latent variable is defined an...
In educational and psychological measurement, the study of test dimensionality is a fundamental issu...
A simulation investigated use of the difficulty parameter (Bejar, 1980) to evaluate item unidimensi...
A reanalysis of data from Hambleton and Rovinelli (1986) argues that the methods suggested by Bejar...
The use of confirmatory factor analytic procedures to examine the dimensionality of writing skills a...
This study demonstrates the use of multidimensional item response theory (MIRT) to investigate an in...
105 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1987.Currently, the most popular m...
Whenever one uses a composite scale score from item responses, one is tacitly assuming that the sca...
Providing the most useful and valid inferences from examinee responses is the basic point for resear...
This article provides an empirical illustration of the utility of the bifactor method for unidimensi...
<p>The purpose of this study is to demonstrate four different CFA specifications for reading data wh...