Alternative Factor Models and Factorial Invariance of the GHQ-12: A Large Sample Analysis Using Confirmatory Factor Analysis.

2005 ◽  
Vol 17 (2) ◽  
pp. 231-236 ◽  
Author(s):  
Mark Shevlin ◽  
Gary Adamson
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Models ◽  
Factorial Invariance ◽  
Sample Analysis ◽  
Large Sample ◽  
Confirmatory Factor ◽  
Large Sample Analysis

Development of a Greek Version of the Sport Motivation Scale

2000 ◽  
Vol 90 (2) ◽  
pp. 505-512 ◽  
Author(s):  
George Doganis
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Internal Consistency ◽  
Factor Models ◽  
Greek Version ◽  
Sport Motivation ◽  
Confirmatory Factor ◽  
Good Internal Consistency ◽  
Motivation Scale ◽  
Sport Motivation Scale

The aim of the present study was to examine preliminarily the validity of a Greek version of the 1995 Sport Motivation Scale of Pelletier, Fortier, Vallerand, Tuson, Briere, and Blais. For 134 athletes the seven subscales had moderate to good internal consistency (Cronbach coefficients α from .64 to .78). Confirmatory factor analysis with nested factor models supported the structural validity of the inventory. Moreover, correlations of scores on the subscales with a measure of task and ego orientation as well as with athletes' self-reported effort in training were in the expected direction.

scholarly journals The Situational Version of the Brief COPE: Dimensionality and Relationships With Goal-Related Variables

2015 ◽  
Vol 11 (2) ◽  
pp. 295-310 ◽  
Author(s):  
Dario Monzani ◽  
Patrizia Steca ◽  
Andrea Greco ◽  
Marco D’Addario ◽  
Erika Cappelletti ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Factor Models ◽  
Goal Commitment ◽  
Personal Goal ◽  
Coping Responses ◽  
Brief Cope ◽  
Confirmatory Factor ◽  
Acceptable Reliability

This study is aimed at investigating the dimensionality of the situational version of the Brief COPE, a questionnaire that is frequently used to assess a broad range of coping responses to specific difficulties, by comparing five different factor models highlighted in previous studies. It also aimed at exploring the relationships among coping responses, personal goal commitment and progress. The study involved 606 adults (male = 289) ranging in age from 19 to 71. Using confirmatory factor analysis, we compared five models and assessed relationships of coping responses with goal commitment and progress. The results confirmed the theoretical factor structure of the situational Brief COPE. All the 14 dimensions showed acceptable reliability and relationships with goal commitment and progress, attesting the reliability and usefulness of this measure to evaluate coping responses to specific events.

scholarly journals Translation and psychometrical properties of Coronavirus Anxiety Scale (CAS) in Peruvian young people and adults

2020 ◽  
Author(s):  
Rulman Andrei Franco-Jimenez
Keyword(s):  
Factor Analysis ◽  
Young People ◽  
Confirmatory Factor Analysis ◽  
Invariant Measure ◽  
Psychometric Properties ◽  
Factorial Invariance ◽  
Anxiety Scale ◽  
Structural Evaluation ◽  
Confirmatory Factor ◽  
Fit Indexes

Background: The overall aim of the study was to translate into Spanish and evaluate the psychometric properties of the Coronavirus Anxiety Scale (CAS). Method: The sample was composed of 622 Peruvian young people and adults who answered CAS. The structural evaluation was conducted with confirmatory factor analysis. Factorial invariance was used to verify the equivalence by sex and age, Results: The unifactorial model revealed good fit indexes χ²(5) = 12.40,CFI = .998, TLI = .996, RMSEA = .049, SRMR = .033. Also, the internal consistency using McDonald´s Omega coefficient was high (ω > .80). The factorial invariance indicated that the unifactorial structure is stable according to age. Conclusion: The Peruvian version of the CAS has evidence to be considered an accurate, valid, and invariant measure and the results support the unifactorial model.

Testing Factorial Invariance across Groups: A Reconceptualization and Proposed New Method

1999 ◽  
Vol 25 (1) ◽  
pp. 1-27 ◽  
Author(s):  
Gordon W. Cheung ◽  
Roger B. Rensvold
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Latent Variables ◽  
Cross Cultural ◽  
Factorial Invariance ◽  
Published Data ◽  
Data Set ◽  
Test Items ◽  
Confirmatory Factor ◽  
Different Cultures

Many cross-cultural researchers are concerned with factorial invariance; that is, with whether or not members of different cultures associate survey items, or similar measures, with similar constructs. Researchers usually test items for factorial invariance using confirmatory factor analysis (CFA). CFA, however, poses certain problems that must be dealt with. Primary among them is standardization, the process that assigns units of measurement to the constructs (latent variables). Two standardization procedures and several minor variants have been reported in the literature, but using these procedures when testing for factorial invariance can lead to inaccurate results. In this paper we review basic theory, and propose an extension of Byrne, Shavelson, and Muthgn’s (1989) procedure for identifying non-invariant items. The extended procedure solves the standardization problem by performing a systematic comparison of all pairs of factor loadings across groups. A numerical example based upon a large published data set is presented to illustrate the utility of the new procedure, particularly with regard to partial factorial invariance.

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