Personality and smoking motivation of U.S. smokers as measured by the State-Trait Personality Inventory, the Eysenck personality questionnaire, and Spielberger's smoking motivation Questionnaire

1993 ◽  
Vol 14 (5) ◽  
pp. 629-637 ◽  
Author(s):  
Walter S. Pritchard ◽  
Deborah L.C. Kay
Keyword(s):  
Personality Inventory ◽  
The State ◽  
Eysenck Personality Questionnaire ◽  
Personality Questionnaire

Assessing Extraversion and Emotional Stability in Adolescents: Development and Validation of a Questionnaire

2007 ◽  
Vol 101 (2) ◽  
pp. 435-447 ◽  
Author(s):  
Andreu Vigil-Colet ◽  
Urbano Lorenzo-Seva ◽  
Fabia Morales-Vives ◽  
Eliseo Chico
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Emotional Stability ◽  
Personality Inventory ◽  
Eysenck Personality Questionnaire ◽  
Personality Questionnaire ◽  
Confirmatory Factor ◽  
Development And Validation

A reduced version of the Five-factor Personality Inventory, which only considers two of the five original dimensions, was constructed to assess Extraversion and Emotional Stability especially for a sample of 581 adolescents. This used Items 6, 9, 11, 19, 21, 39, 41, 46, 54, 59, 61, 66, 84, 89, 91, and 99. Exploratory and confirmatory factor analysis showed that the factor structure of the questionnaire is acceptable, and both scales are reliable and correlated with similar measures as The Eysenck Personality Questionnaire–Revised.

A note on ‘Smoking, personality and reasons for smoking’

1983 ◽  
Vol 13 (2) ◽  
pp. 447-448 ◽  
Author(s):  
H. J. Eysenck
Keyword(s):  
Personality Traits ◽  
Personality Inventory ◽  
Eysenck Personality Questionnaire ◽  
Personality Questionnaire ◽  
Eysenck Personality Inventory ◽  
Scale Scores ◽  
Similar Vein

In their recent paper on smoking and personality, McManus & Weeks (1982) administered the Eysenck Personality Questionnaire (EPQ) and questionnaires regarding smoking to 100 subjects, and calculated correlations between the personality traits measured (psychoticism, extraversion, neuroticism, and lie scale scores) and smoking. Contrary to expectation, there was no correlation with extraversion (E), only slight correlation with neuroticism, but a significant correlation with psychoticism (P). They argue that the lack of correlation with E is due to the changed contents of the scale, which has been changed from earlier versions, such as the Eysenck Personality Inventory (EPI), by the omission of some impulsiveness items. They quote a paper by Rocklin & Revelle (1981) which argues in a similar vein.

Testing the Assumption of Uncorrelated Errors for Short Scales by Means of Structural Equation Modeling

2014 ◽  
Vol 35 (4) ◽  
pp. 201-211 ◽  
Author(s):  
André Beauducel ◽  
Anja Leue
Keyword(s):  
Structural Equation Modeling ◽  
Negative Correlation ◽  
Structural Equation ◽  
Error Score ◽  
Classical Test Theory ◽  
Test Theory ◽  
Equation Modeling ◽  
Eysenck Personality Questionnaire ◽  
Personality Questionnaire ◽  
True Score

It is shown that a minimal assumption should be added to the assumptions of Classical Test Theory (CTT) in order to have positive inter-item correlations, which are regarded as a basis for the aggregation of items. Moreover, it is shown that the assumption of zero correlations between the error score estimates is substantially violated in the population of individuals when the number of items is small. Instead, a negative correlation between error score estimates occurs. The reason for the negative correlation is that the error score estimates for different items of a scale are based on insufficient true score estimates when the number of items is small. A test of the assumption of uncorrelated error score estimates by means of structural equation modeling (SEM) is proposed that takes this effect into account. The SEM-based procedure is demonstrated by means of empirical examples based on the Edinburgh Handedness Inventory and the Eysenck Personality Questionnaire-Revised.

Cross-Cultural Comparisons of Personality: The Netherlands and England

1991 ◽  
Vol 69 (3_suppl) ◽  
pp. 1091-1096 ◽  
Author(s):  
R. Sanderman ◽  
S. B. G. Eysenck ◽  
W. A. Arrindell
Keyword(s):  
The Netherlands ◽  
Social Desirability ◽  
Cross Cultural ◽  
Eysenck Personality Questionnaire ◽  
Personality Questionnaire ◽  
Dutch Version ◽  
Men And Women ◽  
Personality Variables ◽  
National Differences ◽  
Neuroticism Scale

401 men and 475 women completed the Dutch version of the Eysenck Personality Questionnaire. Factor comparisons all exceeded 0.97 so that the factors of Psychoticism, Extraversion, Neuroticism, and Social Desirability are deemed to be identical in the two countries, England and The Netherlands. Sex differences conform with those in most other cross-cultural studies, namely, men score higher than women on Psychoticism and Extraversion, but lower on Neuroticism and Social Desirability. Reliabilities (alpha coefficients) are satisfactorily high for all factors, although the lowest value (0.62) for the Psychoticism dimension for Dutch men appears somewhat weak. National differences on personality variables were only significant for the Neuroticism scale and Social Desirability; Dutch men and women scored lower on the Neuroticism scale than their English counterparts but higher on Social Desirability.

scholarly journals Modeling General, Specific, and Method Variance in Personality Measures: Results for ZKA-PQ and NEO-PI-R

Assessment ◽  
2016 ◽  
Vol 25 (8) ◽  
pp. 959-977 ◽  
Author(s):  
Francisco J. Abad ◽  
Miguel A. Sorrel ◽  
Luis Francisco Garcia ◽  
Anton Aluja
Keyword(s):  
Personality Inventory ◽  
Response Styles ◽  
General Factor ◽  
Personality Questionnaire ◽  
Neo Personality Inventory ◽  
Personality Inventories ◽  
Method Factor ◽  
Neo Personality Inventory Revised ◽  
Specific Factors ◽  
Using Data

Contemporary models of personality assume a hierarchical structure in which broader traits contain narrower traits. Individual differences in response styles also constitute a source of score variance. In this study, the bifactor model is applied to separate these sources of variance for personality subscores. The procedure is illustrated using data for two personality inventories—NEO Personality Inventory–Revised and Zuckerman–Kuhlman–Aluja Personality Questionnaire. The inclusion of the acquiescence method factor generally improved the fit to acceptable levels for the Zuckerman–Kuhlman–Aluja Personality Questionnaire, but not for the NEO Personality Inventory–Revised. This effect was higher in subscales where the number of direct and reverse items is not balanced. Loadings on the specific factors were usually smaller than the loadings on the general factor. In some cases, part of the variance was due to domains being different from the main one. This information is of particular interest to researchers as they can identify which subscale scores have more potential to increase predictive validity.

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