A psycholexical Study of Virtues in the Dutch Language, and Relations between Virtues and Personality

2011 ◽  
Vol 25 (1) ◽  
pp. 43-52 ◽  
Author(s):  
Boele De Raad ◽  
Jan Pieter Van Oudenhoven
Keyword(s):  
Big Five ◽  
Principal Component ◽  
The Other ◽  
Personality Measures ◽  
Regression Analyses ◽  
Self And Other ◽  
Five Factors ◽  
Principal Component Analyses ◽  
Dutch Language ◽  
Big Five Factors

Following the psycholexical approach, a list of 153 virtue descriptors was selected from a previously constructed list of trait–terms, under the assumption that virtues form a subset of traits. The virtue list was administered to 400 participants (self– and other–raters), who had to indicate the extent to which each term applied to them or to the others. Principal Component Analyses were performed yielding six factors of virtues. In addition, Big Five factors and markers of an external set of virtues were constructed. Correlation and regression analyses were performed to describe the relations between virtues, the Dutch Big Five system and other virtue systems. Compared to the other virtue systems, the present study revealed some additional domains. The overlap found with personality measures corresponds to earlier findings supporting the assumption that virtues are important traits. Copyright © 2010 John Wiley & Sons, Ltd.

Factors of values in the Dutch Language and their relationship to factors of personality

2008 ◽  
Vol 22 (2) ◽  
pp. 81-108 ◽  
Author(s):  
Boele De Raad ◽  
Jan Pieter Van Oudenhoven
Keyword(s):  
Big Five ◽  
Principal Component ◽  
Value Systems ◽  
Regression Analyses ◽  
Value System ◽  
Self And Other ◽  
Guiding Principle ◽  
Five Factors ◽  
Dutch Language ◽  
The One

Following the psycholexical approach, several thousands of potential value descriptors were selected from the Dutch lexicon. This set was subsequently reduced according to criteria of relevance to a list of 641 values. The value list was administered to 634 participants (self‐ and other‐raters), who had to indicate the extent to which each value was a guiding principle in the life of the target. Principal component analyses were performed yielding eight factors of values. In addition, ratings were collected on markers of three other systems of values, including the one described by Schwartz (1992). Finally, A Big Five questionnaire, the FFPI, was administered. Correlation and regression analyses were performed to describe the relations between the different value systems, and between the Dutch value system and the Big Five factors. Copyright © 2007 John Wiley & Sons, Ltd.

Using Principal Component Scores to Enhance the Validity and Reliability of Big Five Personality Measures

2017 ◽  
Vol 38 (2) ◽  
pp. 83-93
Author(s):  
Jeffrey M. Cucina ◽  
Nicholas L. Vasilopoulos ◽  
Arwen H. DeCostanza
Keyword(s):  
Big Five ◽  
Discriminant Validity ◽  
Reliability And Validity ◽  
Principal Component ◽  
Big Five Personality ◽  
Validity And Reliability ◽  
Scoring Method ◽  
Five Factors ◽  
Big Five Factors ◽  
Component Scores

Abstract. Varimax rotated principal component scores (VRPCS) have previously been offered as a possible solution to the non-orthogonality of scores for the Big Five factors. However, few researchers have examined the reliability and validity of VRPCS. To address this gap, we use a lab study and a field study to investigate whether using VRPCS increase orthogonality, reliability, and criterion-related validity. Compared to the traditional unit-weighting scoring method, the use of VRPCS enhanced the reliability and discriminant validity of the Big Five factors, although there was little improvement in criterion-related validity. Results are discussed in terms of the benefit of using VRPCS instead of traditional unit-weighted sum scores.

The Twin Relationship Questionnaire

2020 ◽  
Vol 36 (2) ◽  
pp. 348-360 ◽  
Author(s):  
Hila Segal ◽  
Ariel Knafo-Noam
Keyword(s):  
Reliability And Validity ◽  
Principal Component ◽  
The Other ◽  
Prosocial Behaviors ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Mothers And Fathers ◽  
Five Factors ◽  
Confirmatory Factor ◽  
Principal Component Analyses

Abstract. Twins’ relationships evoke critical dilemmas for parents and teachers regarding raising and educating their twins. The current study provides comprehensive psychometric information about the Twin Relationship Questionnaire (TRQ; Fortuna, Goldner, & Knafo, 2010 ) as examined in nine samples, using mothers’ and fathers’ reports on 1,560 pairs of twins, tested in five measurement points from age 3 to age 9. On half of the subsamples, we conducted principal component analyses (PCA), whereas on the other subsamples, we conducted confirmatory factor analyses (CFA). Five factors were found in the PCA and confirmed by the CFA: conflict, closeness, dependence, dominance, and rivalry. All scales showed adequate internal consistencies and corrected item-total correlations. Correlation matrixes between scales demonstrate a triad of conflict, rivalry, and dominance scales, as opposed to the dyad of closeness and dependence. As evidence for the TRQ’s reliability and validity, we report the degree of agreement between mothers and fathers, the 10-month stability of mothers’ reports, and the associations of the TRQ subscales with experimentally assessed prosocial behaviors between the twins at age 6.5, and with the twins’ reports on their closeness at age 11. The replication of the findings across ages and raters reinforces the reliability and validity of the questionnaire.

Cross‐culturally recurrent personality factors: analyses of three factors

2005 ◽  
Vol 19 (6) ◽  
pp. 451-474 ◽  
Author(s):  
Boele De Raad ◽  
Dean Peabody
Keyword(s):  
Big Five ◽  
Emotional Stability ◽  
Personality Factors ◽  
Five Factors ◽  
Two Factors ◽  
Big Five Factors

This study proceeds from an earlier one that examined the ‘Big Five’ factors (Peabody & De Raad, 2002). That study considered the substantive nature of five factors from six European psycholexical studies. The results supported Big Five Factor III (Conscientiousness), but Factors I (Extraversion) and II (Agreeableness) often split into two factors. Big Five Factors IV (Emotional Stability) and V (Intellect) often failed to appear in coherent form. The failures might cause the splits, with five factors required. For three factors, the splits might not occur, and the three large (‘Big Three’) factors could appear. The present study pursues this implication, using three factors from the same six studies. The factors that split are now generally unified. This supports the Big Three and not the Big Five. This result is generally confirmed for several additional studies. Copyright © 2005 John Wiley & Sons, Ltd.

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.

Emergence and Construct Validation of the Big Five Factors in Early Childhood: A Longitudinal Analysis of Their Ontogeny in Sweden

2002 ◽  
Vol 73 (5) ◽  
pp. 1517-1524 ◽  
Author(s):  
Michael E. Lamb ◽  
Susan S. Chuang ◽  
Holger Wessels ◽  
Anders G. Broberg ◽  
Carl Philip Hwang
Keyword(s):  
Early Childhood ◽  
Big Five ◽  
Longitudinal Analysis ◽  
Construct Validation ◽  
Five Factors ◽  
Big Five Factors
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