Taxonomy and structure of Hungarian personality traits

1994 ◽  
Vol 8 (2) ◽  
pp. 95-117 ◽  
Author(s):  
Zsófia Szirmák ◽  
Boele De Raad
Keyword(s):  
Big Five ◽  
Test Case ◽  
European Language ◽  
Factor Solution ◽  
Great Opportunity ◽  
European Languages ◽  
Five Factors ◽  
Lexical Approach ◽  
Crucial Test ◽  
Selection Of

This study reports on the application of the principles of the lexical approach to a non‐Indo‐European language, namely Hungarian. This language is a Uralic island surrounded on all sides by Indo‐European languages. In addition, the Hungarians are, in terms of cultural features, Europeans. These conditions provide a great opportunity for a crucial test case of the lexical approach to personality. Study 1 reports on the different phases of the selection of the trait terms from the Hungarian lexicon, a categorization into kinds of personality‐relevant terms, a comparison of the category findings with those of other languages, and on indices of relevance of the personality terms. Of the total number of 8738 personality‐relevant terms, 3914 adjectives were used for Study 2. In that study, personality descriptiveness ratings were obtained from a group of judges (N = 5). On the basis of these ratings, a manageable set of 624 adjectives was selected for a rating task. Four hundred subjects provided self‐ratings on the 624 adjectives. On the basis of the means and standard deviations of the ratings, the set of 624 was further reduced to 561 adjectives. On ipsatized data, principal components analyses were performed. Both a four‐factor solution and a five‐factor solution, which were Varimax‐rotated, are presented. The correspondence of these factors to the traditional Big Five factors is discussed.

Selection of the Appropriate Number of Factors: A Case of Questionable Dimensions

1986 ◽  
Vol 58 (1) ◽  
pp. 251-256 ◽  
Author(s):  
J. J. Cyr ◽  
L. Atkinson
Keyword(s):  
Factor Analysis ◽  
Previous Literature ◽  
Factor Solution ◽  
Multiple Indicators ◽  
Number Of Factors ◽  
Five Factors ◽  
Selection Of

Based on a factor analysis of the SCL-90, Evenson, et al. in 1980 suggested that a 12-factor solution best described their data. In light of previous literature and a close examination of the Evenson, et al. data, it is suggested by the present authors that only five factors should have been interpreted. Selection of the appropriate number of factors should be based on multiple indicators prior to labeling and interpretation.

The structure of the French personality lexicon

2001 ◽  
Vol 15 (4) ◽  
pp. 277-295 ◽  
Author(s):  
Kathleen Boies ◽  
Kibeom Lee ◽  
Michael C. Ashton ◽  
Sophie Pascal ◽  
Adelheid A. M. Nicol
Keyword(s):  
Big Five ◽  
Emotional Stability ◽  
Personality Structure ◽  
Factor Solution ◽  
Five Dimensions ◽  
Scree Plot ◽  
Five Factors ◽  
French Speaking

The structure of the French personality lexicon was investigated. Self‐ratings on the 388 most frequently used French personality‐descriptive adjectives were obtained from 415 French‐speaking people. The scree plot of eigenvalues indicated six large factors. In the varimax‐rotated six‐factor solution, the four largest factors, in order of size, corresponded fairly closely to the Big Five dimensions of Agreeableness, Emotional Stability, Extraversion, and Conscientiousness. The fifth factor was similar to the Honesty dimension found in several other languages. The sixth factor was defined by Imagination‐related terms, but not by Intellect‐related terms. Solutions involving one to five factors were also investigated and correlations between the factors that emerged from these different solutions are presented. The results are discussed in relation to other lexical studies of personality structure. Copyright © 2001 John Wiley & Sons, Ltd.

Construct Validity of the Temperament Structure Scales Within the Big Five Framework in Aerospace Selection

2016 ◽  
Vol 6 (2) ◽  
pp. 68-80 ◽  
Author(s):  
Justin Maximilian Mittelstädt ◽  
Yvonne Pecena ◽  
Viktor Oubaid ◽  
Peter Maschke
Keyword(s):  
Construct Validity ◽  
Predictive Validity ◽  
Big Five ◽  
Personality Inventories ◽  
Air Traffic Controllers ◽  
Five Factors ◽  
Two Samples ◽  
Big Five Factors ◽  
German Aerospace ◽  
Selection Of

Abstract. The Temperament Structure Scales (TSS) are used in the selection of pilots, air traffic controllers, and astronauts at the German Aerospace Center (DLR). As there is evidence for the predictive validity of the TSS, its relationship with the popular Big Five factors as indicators of construct validity is investigated. Two samples comprising either European astronaut candidates (N = 902) or German pilot candidates (N = 249) were used. Analyses show consistent commonalities of several TSS scales with four Big Five factors (Neuroticism, Extraversion, Agreeableness, Conscientiousness). The TSS cover most of the broad Big Five factors and additionally provide a more detailed and suitable profile with unique constructs for the selection of aerospace personnel. The TSS are thus recommended for use without additional personality inventories that measure the broad Big Five factors only.

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 five‐factor personality model in applied settings

1994 ◽  
Vol 8 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Itzhak Montag ◽  
Joseph Levin
Keyword(s):  
Factor Analysis ◽  
Personality Inventory ◽  
The Other ◽  
Factor Solution ◽  
Male And Female ◽  
Neo Personality Inventory ◽  
Clear Cut ◽  
Five Factors ◽  
Male Subjects ◽  
Female Subjects

Two studies of the Revised NEO‐Personality Inventory (NEO‐PI‐R) conducted on two different applicant samples (one consisting of 539 female subjects and the other consisting of 396 male subjects) are reported. Factor analysis of the female sample yielded a five‐factor solution, highly congruent with the factors presented by Costa, McCrae and Dye (1991). Results of the male data were less clear‐cut, yielding four to five factors which were moderately congruent with the American data. The combined male and female sample showed again high congruence coefficients. Various minor deviations in the location of the facet variables are discussed.

Personality‐relevant attribute‐nouns: a taxonomic study in the Italian language

2005 ◽  
Vol 19 (7) ◽  
pp. 537-557 ◽  
Author(s):  
Lisa Di Blas
Keyword(s):  
Big Five ◽  
Large Set ◽  
Factor Solution ◽  
Italian Language ◽  
Quantitative Indices ◽  
Component Solution ◽  
Personality Attribute ◽  
Relevant Attribute ◽  
Big Six ◽  
Language Content

The present study was based on psycholexical approach premises and explored the structure of a large set of personality attribute‐nouns in the Italian language. Content inspection (based on Big Five categories) and quantitative indices were used to interpret the attribute‐noun dimensions. Results showed (a) a stable three‐component solution which replicated the Big Three; (b) an unstable five‐factor solution which did not reproduce the Big Five; (c) an unstable six‐factor solution which represented deviations from the Big Five system, which have been found in most psycholexical studies conducted in the Italian language. The six lexical dimensions were interpreted as follows: Conscientiousness (replicating the III of the Big Five); Self‐Assurance (combining the Big Five I assertiveness and IV fearfulness subcategories); Sociability (defined by the Big Five I sociableness and I impulse expression subcategories); Placidity (combining the Big Five II peacefulness, II unassertiveness, and IV irritableness subcategories); Honesty and Humility (comprising the Big Five II modesty and II helpfulness subcategories plus integrity values); Cleverness and Sophistication (defined by the Big Five V subcategories). The conclusion was that personality word organisation in the Italian language reflects the psycholexical Big Three and Big Six, but not the Big Five. Copyright © 2005 John Wiley & Sons, Ltd.

scholarly journals Conscientiousness as a Predictor of Relative Longevity

2015 ◽  
Vol 8 (1) ◽  
pp. 33
Author(s):  
Felix Uchechukwu Udoh ◽  
Aloysius C. Anyichie
Keyword(s):  
Regression Analysis ◽  
Correlation Analysis ◽  
West Africa ◽  
Big Five ◽  
Sampling Technique ◽  
Pearson Product Moment Correlation ◽  
Anambra State ◽  
Data Analyses ◽  
The People ◽  
Selection Of

<p>This study examined the Conscientiousness domain (of the Big-Five Inventory [B5]) and its facets as predictors of Relative Longevity (RL). Its methods of investigation involved the administration of the B5 to a sample of 350 people from Anambra State (of Nigeria, West Africa) who had RL. These participants were drawn from the representative towns of the three senatorial zones in the State. Stratified sampling technique was employed in the selection of the respondents. Pearson Product-Moment Correlation analysis and Multiple Regression analysis were used in data analyses. The results of the research indicated that there was no significant correlation between Conscientiousness domain and RL. However, its (Conscientiousness) facet (of Thorough) correlated significantly with RL. Besides, Conscientiousness did not predict RL, but its facets (Thorough, Reliable, Organized, and Goal-directed) were found to be significant predictors of RL. The study’s conclusion is that although Conscientiousness was neither a correlate nor a predictor of RL among the people of Anambra State, some of its Facets were (correlate and/or predictor/s).</p>

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.

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