The personality differentiation by intelligence hypothesis: A measurement invariance investigation

Stability in the measurement of personality is crucial to its construct and predictive validity. The personality differentiation by intelligence hypothesis suggests that intelligence may be a threat to the measurement of personality. This study builds on existing literature by applying multigroup confirmatory factor analytic measurement invariance techniques to the item-level responses of a commonly used personality inventory. In contrast to recently published findings, our results suggest that the measurement of personality is not equivalent across intelligence levels. Though these results have important implications for the use of personality in research and practice, we maintain that personality measures are still important predictors of key criteria. We discuss future research directions, and hope that the current study highlights the need to increase the sophistication of currently available measurement techniques, and will bring continued examination of the personality differentiation by intelligence hypothesis.     

The factor structure and composite reliability of the Rosenberg Self-Esteem Scale among ex-prisoners

The aim of this study was to examine the factor structure and composite reliability of the Rosenberg Self-Esteem Scale (RSES) using a sample of 669 ex-prisoners identified in the National Survey of American Life. Six distinct factor models, with uncorrelated measurement error terms, were specified and tested using confirmatory factor analysis (CFA). Results indicated that the two-factor model consisting of positive and negative latent variables provided a better fit to the data than the alternative models. Moreover, only positive self-esteem was a significant predictor of recidivism. Composite reliability indicated that the two factors were measured with very good reliability. The results consequently provide additional support for a two-dimensional model of the RSES within offender populations.     

The general factor of personality and humor styles

The present study examined the phenotypic, genetic, and environmental correlations between a general factor of personality (GFP) and four humor styles: affiliative, self-enhancing, aggressive, and self-defeating. Participants were 571 same-sex adult twin pairs. Individuals completed the Humor Styles Questionnaire (HSQ) and a short form of the NEO personality scale (from which the GFP was extracted). The GFP was found to be heritable with an estimated value of .31. At the phenotypic level, the GFP was found to correlate significantly with the HSQ scales; positively with affiliative and self-enhancing, and negatively with aggressive and self-defeating. Three of the four phenotypic correlations were found to be attributable to correlated genetic factors, suggesting that these dimensions of humor styles and the GFP may have a common genetic factor.     

Factorial validity of the Mental Toughness Questionnaire-48

The purpose of this study was to assess the factorial validity of the Mental Toughness Questionnaire-48 (Clough, Earle, & Sewell, 2002). In total, 8207 participants (male n = 4019, female n = 3922, unspecified = 266) aged between 16 and 68 years (M = 37.00, SD = 12.09) completed the MTQ48. Model fit was assessed using confirmatory factor analysis (CFA) and exploratory structural equation modeling, in addition to the robust maximum likelihood estimator. Overall, our results support the factorial validity of the MTQ48 and indicate that the MTQ48 is a robust psychometric measure of mental toughness. Along with previous data, which supports the internal validity of the MTQ48 in addition to results of this study, it would appear that the MTQ48 is an acceptable method of assessing mental toughness.     

Relationships among higher-order strengths factors,subjective well-being,and general self-efficacy – The case of Israeli adolescents

We investigated relationships among five higher-order strengths factors, subjective well-being, and general self-efficacy in participants that live under challenging conditions. Therefore, a sample of 396 Israeli adolescents (aged 13–18 years) completed the Values in Action Inventory of Strengths for Youth, the Satisfaction With Life Scale, the Affect Balance Scale, and the General Self-Efficacy Scale. An orthogonally rotated principal component analysis of the 24 character strengths yielded five strengths factors that explained 32% of the variance in life satisfaction, with the transcendence strengths factor as the most substantial predictor. The strongest predictors of positive affect were the transcendence and leadership strengths factors; the best predictors of negative affect were the transcendence and temperance strengths factors; and the strongest predictor of affect balance was the transcendence strengths factor. The five strengths factors explained 46% of the variance in general self-efficacy, with the leadership strengths factor as the most substantial predictor. Further analysis indicated that general self-efficacy mediated the relationship between leadership strengths and global life satisfaction. The results suggest that different strengths factors are relevant for different positive experiences (e.g., life satisfaction, self-efficacy beliefs). The findings shed light on the contribution of specific character strengths as a meaningful resource under stressful conditions.     

Critical factor analysis: An exploratory general model for understanding diverse systems

Critical Factor Analysis (CFA) is presented as an exploratory general model for uniting the sciences and the humanities through identification and use of critical factors common to both. Two primary and eight subordinate critical factors, with corresponding principles, are identified and placed in a model that can be used for prediction, analysis, and design of systems. Use of CFA could conceivably raise system IQ, reduce unnecessary variety, and assist with the general acceptance of systems science.     

Knowledge and economic growth—creativity,learning and knowledge utilization

The purpose of this study is to discuss the dynamic interdependence of knowledge and economic growth. We show that the traditional economics, which treats knowledge as parameters and is mainly developed within linearized, stable and static frameworks can hardly explain the modern economic complexity. We argue that it is necessary to treat creativity, learning and knowledge utilization as endogenous dynamic processes of social and economic evolution. To handle with the complicated dynamic interdependence of wealth and knowledge accumulation, we need to apply genuine nonlinear dynamic theory. In particular, we discuss possible benefits of government's intervention in education and science to the society when the social and economic evolution is characterized of nonlinearity, instability and multi‐equilibria.     

Overgeneral autobiographical memory predicts changes in depression in a community sample

This study investigated whether overgeneral autobiographical memory (OGM) predicts the course of symptoms of depression and anxiety in a community sample, after 5, 6, 12 and 18 months. Participants (N = 156) completed the Autobiographical Memory Test and the Depression Anxiety Stress Scales-21 (DASS-21) at baseline and were subsequently reassessed using the DASS-21 at four time points over a period of 18 months. Using latent growth curve modelling, we found that OGM was associated with a linear increase in depression. We were unable to detect changes over time in anxiety. OGM may be an important marker to identify people at risk for depression in the future, but more research is needed with anxiety.     

Correcting Big Five Personality Measurements for Acquiescence: An 18‐Country Cross‐Cultural Study

For groups of persons with low or medium levels of education, Big Five personality scales typically yield scores that poorly replicate the idealized Big Five factor pattern. On the basis of representative samples of German adults, Rammstedt et al. have demonstrated that correcting each person's score for acquiescence eliminates this problem. In the present 18‐country study using large samples representative of each country's adult population, we found that, in all cases, correcting for acquiescence did indeed improve the congruence of factor loadings with an idealized Big Five pattern. However, although this correction led to acceptably high correspondence levels in all countries classified as individualistic, this was not always true for non‐individualistic countries. Possible reasons for this finding are discussed. Copyright © 2012 John Wiley & Sons, Ltd.