Heterogeneous factor analysis models: A bayesian approach

Psychometrika ◽  
2002 ◽  
Vol 67 (1) ◽  
pp. 49-77 ◽  
Author(s):  
Asim Ansari ◽  
Kamel Jedidi ◽  
Laurette Dube
Keyword(s):  
Factor Analysis ◽  
Bayesian Approach ◽  
Analysis Models ◽  
Heterogeneous Factor

Expression of Anger by Samoan Adults

1996 ◽  
Vol 79 (3_suppl) ◽  
pp. 1339-1348 ◽  
Author(s):  
Matthew S. Steele ◽  
Stephen T. McGarvey
Keyword(s):  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Factor Structure ◽  
Anger Expression ◽  
Cross Cultural ◽  
Men And Women ◽  
Role Expansion ◽  
Core Value ◽  
American Samoan ◽  
Heterogeneous Factor

A modified version of Spielberger's 1988 Anger Expression Inventory including four Samoan culture-specific anger terms was administered to 593 adult American and Western Samoans, 25 to 55 years, to assess intrasample age, sex, and location differences and to examine its cross-cultural utility by an exploratory factor analysis. American Samoans men's and women's scores showed greater difficulty controlling anger than Western Samoan men and women, American Samoan males scored higher on Anger-Out and Samoan anger expression than Western Samoan men, and Western Samoan women scored higher on Anger-Out and higher on Samoan anger expression than Western Samoan men. Factor analysis showed that Spielberger's original factor structure was replicated in all subpopulations except American Samoan women. Control of anger, a Samoan cultural core value, appears to be more difficult in modern American Samoans of both sexes compared with the more traditional Western Samoans. Among American Samoan women, we speculate that role expansion may be responsible for their heterogeneous factor structure of anger expression.

Giving G a Meaning: An Application of the Bifactor-(S-1) Approach to Realize a More Symptom-Oriented Modeling of the Beck Depression Inventory–II

Assessment ◽  
2018 ◽  
Vol 27 (7) ◽  
pp. 1429-1447 ◽  
Author(s):  
Manuel Heinrich ◽  
Pavle Zagorscak ◽  
Michael Eid ◽  
Christine Knaevelsrud
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Beck Depression Inventory ◽  
Factor Structure ◽  
Clinical Sample ◽  
First Order ◽  
Confirmatory Factor ◽  
Bifactor Models ◽  
Current Article ◽  
Analysis Models

The Beck Depression Inventory–II is one of the most frequently used scales to assess depressive burden. Despite many psychometric evaluations, its factor structure is still a topic of debate. An increasing number of articles using fully symmetrical bifactor models have been published recently. However, they all produce anomalous results, which lead to psychometric and interpretational difficulties. To avoid anomalous results, the bifactor-(S-1) approach has recently been proposed as alternative for fitting bifactor structures. The current article compares the applicability of fully symmetrical bifactor models and symptom-oriented bifactor-(S-1) and first-order confirmatory factor analysis models in a large clinical sample ( N = 3,279) of adults. The results suggest that bifactor-(S-1) models are preferable when bifactor structures are of interest, since they reduce problematic results observed in fully symmetrical bifactor models and give the G factor an unambiguous meaning. Otherwise, symptom-oriented first-order confirmatory factor analysis models present a reasonable alternative.

Sign in / Sign up

Export Citation Format

Share Document