Multiple Group Factor Analysis

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

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.

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

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

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.

scholarly journals Multiple Group Confirmatory Factor Analysis of the DASS-21 Depression and Anxiety Scales: How Do They Perform in a Cancer Sample?

2017 ◽  
Vol 121 (3) ◽  
pp. 548-565 ◽  
Author(s):  
Rina S. Fox ◽  
Teresa A. Lillis ◽  
James Gerhart ◽  
Michael Hoerger ◽  
Paul Duberstein
Keyword(s):  
Factor Analysis ◽  
Standard Deviation ◽  
Confirmatory Factor Analysis ◽  
Psychometric Properties ◽  
Cancer Patients ◽  
Internal Consistency Reliability ◽  
Total Sample ◽  
Depression And Anxiety ◽  
Multiple Group ◽  
Confirmatory Factor

The DASS-21 is a public domain instrument that is commonly used to evaluate depression and anxiety in psychiatric and community populations; however, the factor structure of the measure has not previously been examined in oncologic settings. Given that the psychometric properties of measures of distress may be compromised in the context of symptoms related to cancer and its treatment, the present study evaluated the psychometric properties of the DASS-21 Depression and Anxiety scales in cancer patients ( n = 376) as compared to noncancer control participants ( n = 207). Cancer patients ranged in age from 21 to 84 years (mean = 58.3, standard deviation = 10.4) and noncancer control participants ranged in age from 18 to 81 years (mean = 45.0, standard deviation = 11.7). Multiple group confirmatory factor analysis supported the structural invariance of the DASS-21 Depression and Anxiety scales across groups; the factor variance/covariance invariance model was the best fit to the data. Cronbach’s coefficient alpha values demonstrated acceptable internal consistency reliability across the total sample as well as within subgroups of cancer patients and noncancer control participants. Expected relationships of DASS-21 Depression and Anxiety scale scores to measures of suicidal ideation, quality of life, self-rated health, and depressed mood supported construct validity. These results support the psychometric properties of the DASS-21 Depression and Anxiety scales when measuring psychological distress in cancer patients.

Sign in / Sign up

Export Citation Format

Share Document