Corpus ID: 15825629

Project for Introduction to Multivariate Statistics : Measurement Invariance

  title={Project for Introduction to Multivariate Statistics : Measurement Invariance},
  author={L. May},
4 Measurement Invariance 7 4. 

Figures and Tables from this paper

National Identity (NATID) Framework in Multi-Ethnic Affiliations Consumer Market: The Case of Malaysia
This paper examines the transferability of the national identity (NATID) framework in a multiethnic consumer market. Data were collected using heterogeneous purposive sampling from 403 respondents inExpand
Adolescent substance use behavior and suicidal behavior for boys and girls: a cross-sectional study by latent analysis approach
It was revealed that adolescent substance use contributed to suicidal behavior and that boys exhibited more severe substance use behavior than girls, but there was no gender difference in the association between substance use and suicidal behavior. Expand


Measurement invariance, factor analysis and factorial invariance
Several concepts are introduced and defined: measurement invariance, structural bias, weak measurement invariance, strong factorial invariance, and strict factorial invariance. It is shown thatExpand
Confirmatory factor analysis and item response theory: two approaches for exploring measurement invariance.
This study investigated the utility of confirmatory factor analysis (CFA) and item response theory (IRT) models for testing the comparability of psychological measurements to investigate whether mood ratings collected in Minnesota and China were comparable. Expand
The Latent Structure and Measurement Invariance of Scores on the Torrance Tests of Creative Thinking–Figural
There is disagreement among researchers as to whether creativity is a unidimensional or multidimensional trait. Much of the debate centers around the most widely used measure of creativity, theExpand
A note on multiple sample extensions of the RMSEA fit index
Generalization of the Steiger‐Lind root mean square error of approximation fit indexes and interval estimation procedure to models based on multiple independent samples is discussed. In this article,Expand
Sensitivity of Goodness of Fit Indexes to Lack of Measurement Invariance
Two Monte Carlo studies were conducted to examine the sensitivity of goodness of fit indexes to lack of measurement invariance at 3 commonly tested levels: factor loadings, intercepts, and residualExpand
Evaluating Goodness-of-Fit Indexes for Testing Measurement Invariance
Measurement invariance is usually tested using Multigroup Confirmatory Factor Analysis, which examines the change in the goodness-of-fit index (GFI) when cross-group constraints are imposed on aExpand
Structural equation modeling with LISREL: essentials and advances
Hayduk is equally at ease explaining the simplest and most advanced applications of the program, and those with a firm mathematical background who wish to learn about the approach, or those who know a little about the program and want to know more will find this an excellent reference. Expand
The Issue Of Measurement Invariance Revisited
The purposes of this study were twofold: (a) based on the analysis of covariance structures, to test for the equivalence of a well-known measuring instrument across two culturally diverse groups andExpand
Applications of structural equation modeling in psychological research.
This chapter presents a review of applications of structural equation modeling (SEM) published in psychological research journals in recent years. We focus first on the variety of research designsExpand
The Best of Both Worlds: Factor Analysis of Dichotomous Data Using Item Response Theory and Structural Equation Modeling
Both structural equation modeling (SEM) and item response theory (IRT) can be used for factor analysis of dichotomous item responses. In this case, the measurement models of both approaches areExpand