Higher-Order Factors in a Five-Factor Personality Inventory and its Relation to Social Desirability

2007 ◽  
Vol 23 (2) ◽  
pp. 63-70 ◽  
Author(s):  
Martin Bäckström
Keyword(s):  
Factor Analysis ◽  
Social Desirability ◽  
Factor Model ◽  
Factor Models ◽  
Higher Order ◽  
Personality Inventory ◽  
Personality Factors ◽  
The Internet ◽  
Confirmatory Factor ◽  
Order Factor

Abstract. This paper compared two higher-order factor models using a 100-item, five-factor personality inventory originating from the IPIP database. The sample consisted of 2,019 subjects tested on the Internet. The two models were compared using confirmatory factor analysis. The two-factor model showed a similar fit to the data. The criteria for parsimony favored a hierarchical model with one higher-order factor at the top and five personality factors beneath. The single higher-order factor was found to be related to social desirability in a subsample of 196 subjects.

Confirmatory Factor Analysis of the Sternberg Triarchic Abilities Test in Three International Samples

2001 ◽  
Vol 17 (1) ◽  
pp. 1-16 ◽  
Author(s):  
Robert J. Sternberg ◽  
J.L. Castejón ◽  
M.D. Prieto ◽  
Jarkko Hautamäki ◽  
Elena L. Grigorenko
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Model ◽  
Theoretical Models ◽  
The United States ◽  
Underlying Structure ◽  
School Students ◽  
Theory Of Intelligence ◽  
Confirmatory Factor ◽  
Order Factor

Summary: In the current study we compare different theoretical models of the underlying structure of the STAT (Sternberg Triarchic Abilities Test), Level-H, by using the techniques of confirmatory factor analysis on a combined sample of 3278 school students from the United States, Finland, and Spain. The results of the comparison of a number of models - using the strategy of hierarchical confirmatory factor analysis (HCFA) and comparing nested and alternative models, specified under different assumed theories relative to a unidimensional concept of general intelligence, a traditional factorial concept, and a triarchic model - illustrate that the second-order factor model based on the triarchic theory of intelligence achieves the best (albeit far from perfect) fit to the empirical data.

Personality Assessment Inventory: A Confirmatory Factor Analysis

1994 ◽  
Vol 79 (3_suppl) ◽  
pp. 1441-1442 ◽  
Author(s):  
Gregory J. Boyle ◽  
James Ward ◽  
Tania J. Lennon
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Personality Assessment ◽  
Personality Assessment Inventory ◽  
Higher Order ◽  
Self Report ◽  
Proposed Model ◽  
Confirmatory Factor ◽  
Order Factor ◽  
Report Measure

The Personality Assessment Inventory is a recently constructed multidimensional self-report measure of personality traits. Morey reported the results of a scale factoring, claiming that the instrument measures four separate higher-order dimensions; however, in an independent Australian study of the psychometric properties of the inventory, Boyle and Lennon found five higher-order dimensions, using factor analytic procedures intended to maximize simple structure. The present paper reports the results of a confirmatory factor analysis for the proposed model based on the Australian data. The results indicate that the model does not provide a satisfactory fit, raising questions about the higher-order factor structure.

Testing the Psychometric Properties of the Interpersonal Reactivity Index (IRI) in Chile

2011 ◽  
Vol 27 (3) ◽  
pp. 179-185 ◽  
Author(s):  
Ana Maria Fernández ◽  
Michele Dufey ◽  
Uwe Kramp
Keyword(s):  
Factor Analysis ◽  
Psychometric Properties ◽  
Factor Model ◽  
Reactivity Index ◽  
Interpersonal Reactivity Index ◽  
Psychological Constructs ◽  
Theoretical Structure ◽  
Confirmatory Factor ◽  
Order Factor ◽  
Comparison Of The Results

The psychometric properties of Davis’ (1980) Interpersonal Reactivity Index (IRI) in Chile were assessed. The IRI was applied to a sample of 435 college students. Appropriate internal consistencies and test-retest stability resulted. The instrument’s validity was evidenced by the interrelations among the scales, in addition to its correlations in the predicted direction to other related psychological constructs, and sex differences emerged in three of its dimensions. A confirmatory factor analysis corroborated the theoretical structure of the IRI in Chile, and the suitability of both the four-factor model and a second order factor that integrates three of the dimensions . The implications and comparison of the results with other adaptations of the IRI are discussed.

The Self-Consciousness Scale: A Confirmatory Analysis

1986 ◽  
Vol 59 (2) ◽  
pp. 809-810 ◽  
Author(s):  
Stephen J. Gould
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Model ◽  
Factor Models ◽  
The Self ◽  
Three Dimensions ◽  
Confirmatory Factor ◽  
Confirmatory Analysis ◽  
Public Self Consciousness ◽  
Three Factor

The Self-consciousness Scale measures three dimensions, private self-consciousness, public self-consciousness, and social anxiety. The present research tested previously used three- and four-factor models of the scale. Results, using confirmatory factor analysis, showed that a modified three-factor model, different from the others, fined the data best.

Examining the factor structure and its replicability across multiple listening test forms: Validity evidence for the Michigan English Test

2021 ◽  
pp. 026553222110181
Author(s):  
Tingting Liu ◽  
Vahid Aryadoust ◽  
Stacy Foo
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Factor Model ◽  
General Factor ◽  
Validity Evidence ◽  
Multiple Test ◽  
Underlying Factor ◽  
Congruence Coefficient ◽  
Confirmatory Factor ◽  
Order Factor

This study evaluated the validity of the Michigan English Test (MET) Listening Section by investigating its underlying factor structure and the replicability of its factor structure across multiple test forms. Data from 3255 test takers across four forms of the MET Listening Section were used. To investigate the factor structure, each form was fitted with four Bayesian confirmatory factor analysis (CFA) models: (1) a three correlated-factor model, (2) a bi-factor model, (3) a higher-order factor model, and (4) a single general-factor model. In addition, a four-pronged heuristic comprising construct delineation, construct operationalization, factor structure analysis, and congruence coefficient was developed to examine the replicability of factor structures across the test forms. Results from the CFA models showed that the test forms were unidimensional and the four-pronged heuristic indicated that the test construct was consistently operationalized across forms. Furthermore, the congruence coefficient indicated that the factor structure representing listening was highly similar and replicable across test forms. In sum, the construct of the MET Listening Section did not comprise divisible subskills. Yet, the unidimensional factor structure of the test was replicable across the test forms.

scholarly journals The Development of Relational Reasoning in South Korean Elementary and Middle-School Students: A Cross-Sectional Investigation

2021 ◽  
Vol 12 ◽  
Author(s):  
Soo Eun Chae ◽  
Patricia A. Alexander
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Model ◽  
Higher Order ◽  
Relational Reasoning ◽  
School Students ◽  
Cross Sectional ◽  
Tenth Graders ◽  
Confirmatory Factor ◽  
Non Parametric

Relational reasoning is a higher-order executive function that involves the ability to perceive meaningful patterns within a body of seemingly unrelated information. In this study, the ability of 749 fourth (Mage = 10), sixth (Mage = 12), eighth (Mage = 14), and tenth graders (Mage = 16) to identify meaningful relational patterns was investigated. This general cognitive ability was assessed by means of the Test of Relational Reasoning-Junior (TORRjr), a 32-item measure organized into four 8-item scales that assess analogical, anomalous, antinomous, and antithetical reasoning. Students’ performance on the TORRjr was analyzed using confirmatory factor analysis, measurement invariance test, and non-parametric median-based analyses. The confirmatory factor analysis supported that the higher-order factor model was the best fit for the TORRjr data for the Korean students. The measurement was determined to be invariant by gender but variant across grade levels. The non-parametric analysis resulted in an asymptotic (a constant increasing up to grade 6 and then a level off witnessed from grades 8 to 10) development pattern in overall relational reasoning across the grades. In comparison to analogy and anomaly, antinomy and antithesis scores were more fully developed by grade 8 and that level of performance was maintained at grade 10. The TORRjr appeared to be a viable measure for the Korean samples up to approximately 15 years of age. The significance of these findings for research and instructional practice are discussed.

scholarly journals Psychometric Evaluation of the Malay Version of the Family Adaptability and Cohesion Evaluation Scale III for Malaysian Adolescents

2021 ◽  
Vol 19 (1) ◽  
pp. 156
Author(s):  
Chin Wen Cong ◽  
Chee-Seng Tan ◽  
Hooi San Noew ◽  
Shin Ling Wu
Keyword(s):  
Factor Analysis ◽  
Psychometric Properties ◽  
Factor Model ◽  
Psychometric Evaluation ◽  
Factor Loading ◽  
Factor Models ◽  
Validation Sample ◽  
Family Adaptability ◽  
Confirmatory Factor ◽  
The Family

The Family Adaptability and Cohesion Scale III (FACES-III) has been widely used to measure an individual’s family functioning in terms of cohesion and adaptability. In Malaysia, the FACES-III has been translated into the Malay language for the community, but its psychometric properties in this context remain unknown. Thus, the purpose of this research is to examine the psychometric properties of the Malay version of the FACES-III in 852 adolescents attending secondary schools in Kuala Lumpur, Malaysia. Data were randomly split into two halves: the exploration sample and the validation sample. Exploratory factor analysis was conducted on the exploration sample and a two-factor model was discovered after removing nine items that showed low factor loading. Then, confirmatory factor analysis was conducted on the validation sample to compare the one-factor models, two-factor models, and three-factor models. Results showed that the 11-item two-factor model (FACES-III-M-SF) was superior to the other competing models. Both the exploratory and confirmatory factor analyses replicated the two-factor structure of the original version of FACES-III. The reliability of the overall scale was consistently good, but the subscale results were mixed. This suggests that researchers should use the overall score, but not the subscale scores, in analyses.

Confirmatory Factor Analysis of the Group Environment Questionnaire with an Intercollegiate Sample

1996 ◽  
Vol 18 (1) ◽  
pp. 49-63 ◽  
Author(s):  
Fuzhong Li ◽  
Peter Harmer
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Group Cohesion ◽  
Factor Models ◽  
Second Order ◽  
First Order ◽  
Confirmatory Factor ◽  
Group Environment ◽  
Order Factor ◽  
Group Environment Questionnaire

This study was designed to assess the factorial construct validity of the Group Environment Questionnaire (GEQ; Carron, Widmeyer, & Brawley, 1985) within a hypothesis-testing framework. Data were collected from 173 male and 148 female intercollegiate athletes. Based on Carron et al.’s (1985) conceptual model of group cohesion, the study examined (a) the extent to which the first-order four-factor model could be confirmed with an intercollegiate athlete sample and (b) the degree to which higher order factors could account for the covariation among the four first-order factors. The a priori models of GEQ, including both the first- and second-order factor models, were tested through confirmatory factor analysis (CFA). CFA results showed that the theoretically specified first- and second-order factor models fit significantly better than all alternative models. These results demonstrated that the GEQ possesses adequate factorial validity and reliability as a measure of the sport group cohesion construct for an intercollegiate athlete sample.

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