Multiple Group IRT Modeling: Applications to Item Bias Analysis

1985 ◽  
Vol 10 (2) ◽  
pp. 133-142 ◽  
Author(s):  
Bengt Muthén ◽  
James Lehman
Keyword(s):  
Factor Analysis ◽  
Item Bias ◽  
Group Factor ◽  
Bias Analysis ◽  
Test Items ◽  
Multiple Group ◽  
Dichotomous Variables

This article shows the applicability of new methodology for multiple-group factor analysis of dichotomous variables. Situations are considered where the same set of test items has been administered to more than one group of examinees. The new methodology is contrasted with the IRT approach to item bias analysis. An example is given in which females and males have taken a certain biology test.

Development and Validation of the Economic Coercion Scale 36 (ECS-36) in Rural Bangladesh

2021 ◽  
pp. 088626052098781
Author(s):  
Kathryn M. Yount ◽  
Yuk Fai Cheong ◽  
Stephanie Miedema ◽  
Ruchira T. Naved
Keyword(s):  
Factor Analysis ◽  
Partner Violence ◽  
Short Form ◽  
Latent Trait ◽  
Married Women ◽  
Primary Data ◽  
Group Factor ◽  
Rural Bangladesh ◽  
Multiple Group ◽  
Economic Coercion

Assessing progress toward Sustainable Development Goal (SDG) 5, to achieve gender equality and to empower women, requires monitoring trends in intimate partner violence (IPV). Current measures of IPV may miss women’s experiences of economic coercion, or interference with the acquisition, use, and maintenance of financial resources. This sequential, mixed-methods study developed and validated a scale for economic coercion in married women in rural Bangladesh, where women’s expanding economic opportunities may elevate the risks of economic coercion and other IPV. Forty items capturing lifetime and prior-year economic coercion were adapted from formative qualitative research and prior scales and administered to a probability sample of 930 married women 16–49 years. An economic coercion scale (ECS) was validated using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) with primary data from random-split samples ( N1 = 310; N2 = 620). Item response theory (IRT) methods gauged the measurement precision of items and scales over the range of the economic-coercion latent trait. Multiple-group factor analysis assessed measurement invariance of the economic-coercion construct. Two-thirds (62.26%) of women reported any lifetime economic coercion. EFA suggested a 36-item, two-factor model capturing barriers to acquire and to use or maintain economic resources. CFA, multiple group factor analysis, and multidimensional IRT methods confirmed that this model provided a reasonable fit to the data. IRT analysis showed that each dimension provided most precision over the higher range of the economic coercion trait. The Economic Coercion Scale 36 (ECS-36) should be validated elsewhere and over time. It may be added to violence-specific surveys and evaluations of violence-prevention and economic-empowerment programs that have a primary interest measuring economic coercion. Short-form versions of the ECS may be developed for multipurpose surveys and program monitoring.

Multiple Group Factor Analysis

1983 ◽  
Vol 37 (4) ◽  
pp. 326 ◽  
Author(s):  
Stephan Arndt
Keyword(s):  
Factor Analysis ◽  
Group Factor ◽  
Multiple Group

Factor Comparability And The Advantages Of Multiple Group Factor Analysis

1980 ◽  
Vol 15 (2) ◽  
pp. 165-180 ◽  
Author(s):  
James E. Everett ◽  
Leland V. Entrekin
Keyword(s):  
Factor Analysis ◽  
Group Factor ◽  
Multiple Group

Multiple Group IRT Modeling: Applications to Item Bias Analysis

1985 ◽  
Vol 10 (2) ◽  
pp. 133 ◽  
Author(s):  
Bengt Muthén ◽  
James Lehman ◽  
Bengt Muthen
Keyword(s):  
Item Bias ◽  
Bias Analysis ◽  
Multiple Group

scholarly journals Multiple-Group Factor Analysis Alignment

2014 ◽  
Vol 21 (4) ◽  
pp. 495-508 ◽  
Author(s):  
Tihomir Asparouhov ◽  
Bengt Muthén
Keyword(s):  
Factor Analysis ◽  
Group Factor ◽  
Multiple Group

Item Bias Analysis of the Young Schema-Questionnaire for Psychopathology, Gender, and Educational Level

2011 ◽  
Vol 27 (1) ◽  
pp. 65-70 ◽  
Author(s):  
Marleen M. Rijkeboer ◽  
Huub van den Bergh ◽  
Jan van den Bout
Keyword(s):  
Educational Level ◽  
Cross Validation ◽  
Item Bias ◽  
Response Patterns ◽  
Dutch Population ◽  
Bias Analysis ◽  
Young Schema Questionnaire ◽  
Item Functioning ◽  
Item Level ◽  
Schema Questionnaire

This study examines the construct validity of the Young Schema-Questionnaire at the item level in a Dutch population. Possible bias of items in relation to the presence or absence of psychopathology, gender, and educational level was analyzed, using a cross-validation design. None of the items of the YSQ exhibited differential item functioning (DIF) for gender, and only one item showed DIF for educational level. Furthermore, item bias analysis did not identify DIF for the presence or absence of psychopathology in as much as 195 of the 205 items comprising the YSQ. Ten items, however, spread over the questionnaire, were found to yield relatively inconsistent response patterns for patients and nonclinical participants.

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