Factor analysis of the Big Five Questionnaire using polychoric correlations in children

2007 ◽  
Vol 43 (1) ◽  
pp. 75-85 ◽  
Author(s):  
F. Pablo Holgado-Tello ◽  
M. Ángel Carrasco-Ortiz ◽  
María Victoria del Barrio-Gándara ◽  
Salvador Chacón-Moscoso
Keyword(s):  
Factor Analysis ◽  
Big Five ◽  
Polychoric Correlations

Traits, States, and Stories

2021 ◽  
pp. 8-16
Author(s):  
William Todd Schultz
Keyword(s):  
Factor Analysis ◽  
Big Five ◽  
Five Dimensions ◽  
Big Five Traits ◽  
Trait Model ◽  
Truman Capote

Chapter 1 provides an overview of the Big Five trait model combined with two additional layers of personality expression: states and stories. The author explains that personality starts with traits, simple compounds that are captured in language with words like shy, belligerent, outgoing, ambitious, and friendly. By sifting and simplifying, or what is called factor analysis, all such adjectives reduce to five dimensions, the so-called Big Five. These dimensions (the dimensions are the traits) reveal the why behind creativity as well as the how, the ways in which creativity functions. The Big Five traits are neuroticism, extraversion, conscientiousness, agreeableness, and openness. Writer Truman Capote is used as an illustration of how traits, states, and stories are related to the personality of the artist.

Flourishing in Student Veterans With and Without Service-Connected Disability: Psychometric Validation of the Flourishing Scale and Exploration of Its Relationships With Personality and Disability

2018 ◽  
Vol 63 (1) ◽  
pp. 3-12 ◽  
Author(s):  
Emre Umucu ◽  
Teresa Ann Grenawalt ◽  
Antonio Reyes ◽  
Timothy Tansey ◽  
Jessica Brooks ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Personality Traits ◽  
Postsecondary Education ◽  
Big Five ◽  
Current Knowledge ◽  
Well Being ◽  
Student Veterans ◽  
Big Five Personality Traits ◽  
Psychometric Validation ◽  
Big Five Personality

Veterans are an increasing population in postsecondary education. Many student veterans have disabilities affecting their well-being and success in college. This study aims to add to current knowledge on well-being by exploring the relationship between flourishing, personality traits, and service-connected disability among student veterans. First, we set out to psychometrically validate the Flourishing Scale (FS) for student veterans. Second, we evaluated the association of the Big-Five personality traits and flourishing. Finally, we evaluated the differences in flourishing among student veterans with and without service-connected disabilities. Two hundred five student veterans were recruited for the current study. A random split-half approach was adopted to perform an exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). Subsequent to conducting the EFA and CFA, a hierarchical multiple regression analysis was performed to investigate the relationships between flourishing and Big-Five personality traits. Finally, an independent-samples t test was conducted to compare the flourishing scores of student veterans with and without a service-connected disability. Findings indicated FS is a reliable and valid scale that could be used to measure flourishing in student veterans. Detailed findings and their implications for rehabilitation counseling are provided.

scholarly journals Psychometric properties and comparison of different techniques for factor analysis on the Big Five Inventory from a Flemish sample

2017 ◽  
Vol 117 ◽  
pp. 122-129 ◽  
Author(s):  
Anikó Lovik ◽  
Vahid Nassiri ◽  
Geert Verbeke ◽  
Geert Molenberghs ◽  
An Katrien Sodermans
Keyword(s):  
Factor Analysis ◽  
Psychometric Properties ◽  
Big Five ◽  
Big Five Inventory

Factor Analysis of the NEO-PI and the Comrey Personality Scales

1994 ◽  
Vol 75 (1) ◽  
pp. 355-365 ◽  
Author(s):  
Raegyu Hahn ◽  
Andrew L. Comrey
Keyword(s):  
Factor Analysis ◽  
Response Bias ◽  
Big Five ◽  
Emotional Stability ◽  
Single Factor ◽  
Five Factors ◽  
Big Five Factors ◽  
Major Factors

The 1985 version of the NEO-PI of Costa and McCrae and the Comrey Personality Scales were administered to a sample of 227 volunteers. The former was designed to measure the “Big Five” factors of personality, using single scales for the factors of Agreeableness and Conscientiousness, and six “facet scales” each to measure the factors of Neuroticism, Extraversion, and Openness. The Comrey Personality Scales consist of 40 personality subscales (FHIDs) that have been shown repeatedly to define eight major factors of personality. In this study, these 40 subscales, the CPS Response Bias Scale, the two NEO-PI single factor scales, the 18 NEO-PI facet scales, and sex were factor analyzed. All eight Comrey factors were clearly identified. NEO-PI scales Neuroticism, Extraversion, and Conscientiousness matched well with Comrey factors Emotional Stability, Extraversion, and Orderliness, respectively. NEO-PI Agreeableness was substantially related to two other Comrey factors, Trust and Empathy. NEO-PI Openness was identified as a separate ninth factor.

scholarly journals Assessing the Five Factors of Personality in Adolescents

Assessment ◽  
2011 ◽  
Vol 19 (1) ◽  
pp. 114-130 ◽  
Author(s):  
Generós Ortet ◽  
Manuel I. Ibáñez ◽  
Jorge Moya ◽  
Helena Villa ◽  
Ana Viruela ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Psychometric Properties ◽  
Factor Structure ◽  
Big Five ◽  
Neo Personality Inventory ◽  
R Factor ◽  
Five Factors ◽  
Two Samples ◽  
Neo Personality Inventory Revised ◽  
Joint Factor Analysis

This article presents the development of a junior version of the Spanish (Castilian) NEO Personality Inventory–Revised (JS NEO) suitable for adolescents aged 12 to 18 years. The psychometric properties of the new JS NEO were investigated using two samples of 2,733 and 983 adolescents in Spain. The results showed that the adult NEO-PI-R factor structure was replicated with the junior version of the inventory and that the reliabilities of the scales were adequate. The cross-form correlations between the junior and the adult versions of the questionnaires indicated good equivalence indices. Furthermore, a joint factor analysis of the JS NEO and the Big Five Questionnaire–Children (BFQ-C) provided additional evidence for the construct validity of the JS NEO.

scholarly journals Robustness of factor solutions in exploratory factor analysis

2021 ◽  
Author(s):  
David Goretzko ◽  
Markus Bühner
Keyword(s):  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Big Five ◽  
Sampling Error ◽  
Information Criterion ◽  
Psychological Research ◽  
Stable Factor ◽  
Research Areas ◽  
The Stability ◽  
The One

AbstractReplicability has become a highly discussed topic in psychological research. The debates focus mainly on significance testing and confirmatory analyses, whereas exploratory analyses such as exploratory factor analysis are more or less ignored, although hardly any analysis has a comparable impact on entire research areas. Determining the correct number of factors for this analysis is probably the most crucial, yet ambiguous decision—especially since factor structures have often been not replicable. Hence, an approach based on bootstrapping the factor retention process is proposed to evaluate the robustness of factor retention criteria against sampling error and to predict whether a particular factor solution may be replicable. We used three samples of the “Big Five Structure Inventory” and four samples of the “10 Item Big Five Inventory” to illustrate the relationship between stable factor solutions across bootstrap samples and their replicability. In addition, we compared four factor retention criteria and an information criterion in terms of their stability on the one hand and their replicability on the other. Based on this study, we want to encourage researchers to make use of bootstrapping to assess the stability of the factor retention criteria they use and to compare these criteria with regard to this stability as a proxy for possible replicability.

Exploratory Factor Analysis of the French Version of the Big Five Questionnaire for Children (BFQ-C)

2017 ◽  
Vol 76 (3) ◽  
pp. 125-130 ◽  
Author(s):  
Martine Bouvard ◽  
Jean-Luc Roulin
Keyword(s):  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Factor Structure ◽  
Big Five ◽  
Goodness Of Fit ◽  
Internal Validity ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
French Version ◽  
Exploratory Factor Analyses

Abstract. This article examines the internal validity of the French version of the Big Five Questionnaire for Children (BFQ-C). We first performed confirmatory factor analyses (CFA) to determine the fit of the factor structure identified in previous research on the BFQ-C and then used exploratory factor analyses. A sample of 399 children (192 boys and 207 girls) recruited from elementary schools completed the BFQ-C in their classrooms. Participants were 8 to 12 years old with a mean age of 9.58 years (SD = 0.98). The results indicated poor goodness-of-fit statistics for the CFA solution. Exploratory factor analysis improved the model fit markedly over conventional CFA. The factor structure of the French version of the BFQ-C suggested reasonable fit for the five intercorrelated factors corresponding to the Big Five with the exploratory factor analyses, even if the fifth factor appeared to be more problematic than the other 4 factors.

The Development of a Short Measure of Character Strength

2012 ◽  
Vol 28 (2) ◽  
pp. 95-101 ◽  
Author(s):  
Adrian Furnham ◽  
David Lester
Keyword(s):  
Factor Analysis ◽  
Big Five ◽  
Character Strengths ◽  
The United States ◽  
Personality Factors ◽  
Big Five Personality ◽  
Theoretical Formulation ◽  
Self Evaluation ◽  
Core Self

A total of 366 participants from Great Britain and the United States completed a new, short questionnaire to measure respondents’ self-assessed character strengths based on the Values in Action Inventory of Strengths (VIA) ( Peterson & Seligman, 2004 ). They also completed a core self-evaluation ( Judge, Erez, Bono, & Thorensen, 2003 ) and a Big Five personality trait ( McManus & Furnham, 2006 ) measure. The study investigated the factor structure of character strengths measure as well as demographic (particularly sex), ideological, personality, and core self-evaluation correlates of the six virtues that represent the “higher-order” classification of the strengths. Exploratory factor analysis provided evidence for the six virtues, though somewhat different from the theoretical formulation. Regressions looking at demographic (sex, age, education), ideological (religion, politics), and personality (Big Five plus core self-evaluations) determinant of these strengths (using factor scores from the factor analysis) showed personality factors (particularly extraversion) were always most powerful predictors of the self-rated strength and virtues. Limitations of the scale are discussed.

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