Personality,intelligence and proof-reading

Two studies sought to determine personality and cognitive ability correlates of proof-reading. In both studies candidates were given 5 min to identify up to 55 errors in a 920 word, two page document. In Study 1, which tested 240 school children, fluid intelligence (as measured by the Baddeley Reasoning Test) was the highest correlate of proof-reading (r = .30). Eleven percent of the variance in total attempted scores was accounted for by intelligence, Introversion and low Conscientiousness. In the second study 70 undergraduates completed the same proof-reading test along with two intelligence tests (Baddeley Reasoning Test; Wonderlic Personnel Test) and a more robust personality measure (NEO-FFI). Proof-reading was correlated with both intelligence tests (Baddeley r = .45; Wonderlic r = .40). More of the variance was accounted for in the total attempted-score of errors than for a correct errors-detected score. When the two intelligence and five personality trait scores were regressed on to the proof-reading test score over a quarter of the variance (Adj R² = .28) was accounted for, but only the Baddeley test was a significant predictor (Beta = .39).     

Personality and Intelligence: Gender,the Big Five,Self‐Estimated and Psychometric Intelligence

This paper reports on two studies that investigated the relationship between the Big Five personality traits, self‐estimates of intelligence (SEI), and scores on two psychometrically validated intelligence tests. In study 1 a total of 100 participants completed the NEO‐PI‐R, the Wonderlic Personnel Test and the Baddeley Reasoning Test, and estimated their own intelligence on a normal distribution curve. Multiple regression showed that psychometric intelligence was predicted by Conscientiousness and SEI, while SEI was predicted by gender, Neuroticism (notably anxiety) and Agreeableness (notably modesty). Personality was a better predictor of SEI than of psychometric intelligence itself. Study 2 attempted to explore the relationship between SEI and psychometric intelligence. A total of 130 participants completed the NEO‐PI‐R, the Baddeley Reasoning Test, and the S & M Spatial intelligence test. In addition, SEI and participants conceptions of intelligence were also examined. In combination with gender and previous IQ test experience, these variables were found to predict about 11% of the variance in SEI. SEI was the only significant predictor of psychometrically measured intelligence. Inconsistencies between results of the two studies, theoretical and applied implications, and limitations of this work are discussed.     

A moderate financial incentive can increase effort,but not intelligence test performance in adult volunteers

A positive correlation between self-reported test-taking motivation and intelligence test performance has been reported. Additionally, some financial incentive experimental evidence suggests that intelligence test performance can be improved, based on the provision of financial incentives. However, only a small percentage of the experimental research has been conducted with adults. Furthermore, virtually none of the intelligence experimental research has measured the impact of financial incentives on test-taking motivation. Consequently, we conducted an experiment with 99 adult volunteers who completed a battery of intelligence tests under two conditions: no financial incentive and financial incentive (counterbalanced). We also measured self-reported test-taking importance and effort at time 1 and time 2. The financial incentive was observed to impact test-taking effort statistically significantly. By contrast, no statistically significant effects were observed for the intelligence test performance scores. Finally, the intelligence test scores were found to correlate positively with both test-taking importance (r_c = .28) and effort (r_c = .37), although only effort correlated uniquely with intelligence (partial r_c = .26). In conjunction with other empirical research, it is concluded that a financial incentive can increase test-taking effort. However, the potential effects on intelligence test performance in adult volunteers seem limited.     

Untangling Intelligence,Psychopathy, Antisocial Personality Disorder,and Conduct Problems: A Meta‐analytic Review

Substantial research has investigated the association between intelligence and psychopathic traits. The findings to date have been inconsistent and have not always considered the multidimensional nature of psychopathic traits. Moreover, there has been a tendency to confuse psychopathy with other closely related, clinically significant disorders. The current study represents a meta‐analysis conducted to evaluate the direction and magnitude of the association of intelligence with global psychopathy, as well as its factors and facets, and related disorders (i.e. antisocial personality disorder, conduct disorder, and oppositional defiant disorder). Our analyses revealed a small, significant, negative relationship between intelligence and total psychopathy (r = ?.07, p = .001). Analysis of factors and facets found differential associations, including both significant positive (e.g. interpersonal facet) and negative (e.g. affective facet) associations, further affirming that psychopathy is a multidimensional construct. Additionally, intelligence was negatively associated with antisocial personality disorder (r = ?.13, p = .001) and conduct disorder (r = ?.13, p = .001) but positively with oppositional defiant disorder (r = .06, p = .001). There was significant heterogeneity across studies for most effects, but the results of moderator analyses were inconsistent. Finally, bias analyses did not find significant evidence for publication bias or outsized effects of outliers. © 2019 European Association of Personality Psychology     

The Sternberg Triarchic Abilities Test (STAT) as a measure of academic achievement and general intelligence

The degree to which practical, creative, and analytical abilities, measured by the Sternberg Triarchic Abilities Test (STAT) (Sternberg, 1993), significantly contribute to the prediction of academic achievement, independent of general intelligence, was investigated. Although Sternberg et al. (2000) claim that the STAT is not related to, nor a measure of, general intelligence, data obtained by Sternberg, Ferrari, Clinkenbeard, and Grigorenko (1996), found that STAT scores were significantly correlated with measures of general intelligence. In the present study, introductory psychology midterm examination grades, STAT scores, and Wonderlic Personnel Test scores (as a measure of general intelligence), were obtained from undergraduate students at the University of Western Ontario (N=150). Total STAT scores and each of the STAT subsection scores were significantly related to Wonderlic test scores, P<0.01, and the STAT subsections were significantly related to each other, P<0.01. The partial correlations between midterm grades and creative, practical, analytical, and total STAT scores, with the variance due to the Wonderlic test removed, were also found to be significant for practical and for total STAT scores, P<0.05, but nonsignificant for creative and analytical STAT scores. A factor analysis including midterm examination grades, the Wonderlic test, and each of the STAT subsections revealed a single general factor. Thus, some results supported Sternberg but others were contrary to his claims.     

Personality and intelligence as predictors of creativity

Participants completed the Big Five NEO-FFI (Costa & McCrae, 1992) as a personality measure, the Wonderlic Personnel Test (Wonderlic, 1992) as an intelligence measure, and four measures of creativity: Guilford’s (1967) unusual uses divergent thinking test; the Biographical Inventory of Creative Behaviours; a self-rated measure of creativity; and the Barron–Welsh Art Scale to measure creative judgement. Extraversion was significantly related to all four measures of creativity. Intelligence failed to add any incremental variance in predicting the creativity scores. Multiple regression indicated that up to 47% of the variance in divergent thinking scores can be accounted for by the Big Five personality traits. Personality correlates to creativity vary as a function of the creativity measure.     

Black–White differences on IQ and grades: The mediating role of elementary cognitive tasks

The relationship between IQ scores and elementary cognitive task (ECT) performance is well established, with variance on each largely reflecting the general factor of intelligence, or g. Also ubiquitous are Black–White mean differences on IQ and measures of academic success, like grade point average (GPA). Given C. Spearman's (Spearman, C. (1927). The Abilities of Man. New York: Macmillan) hypothesis that group differences vary directly with a test's g loading, we explored whether ECT performance could mediate Black–White IQ and GPA differences. Undergraduates (139 White and 40 Black) completed the Wonderlic Personnel Test, followed by inspection time and choice reaction time ECTs. Despite restriction of range, ECT performance completely mediated Black–White differences on IQ (d = .45). Group differences on GPA (d = .73), however, were larger and ECT performance did not mediate them. We discuss findings in light of Spearman's hypothesis.     

Typical intellectual engagement,Big Five personality traits,approaches to learning and cognitive ability predictors of academic performance

Background Both ability (measured by power tests) and non‐ability (measured by preference tests) individual difference measures predict academic school outcomes. These include fluid as well as crystalized intelligence, personality traits, and learning styles. This paper examines the incremental validity of five psychometric tests and the sex and age of pupils to predict their General Certificate in Secondary Education (GCSE) test results. Aims The aim was to determine how much variance ability and non‐ability tests can account for in predicting specific GCSE exam scores. Sample The sample comprised 212 British schoolchildren. Of these, 123 were females. Their mean age was 15.8 years (SD 0.98 years). Method Pupils completed three self‐report tests: the Neuroticism–Extroversion–Openness‐Five‐Factor Inventory (NEO‐FFI) which measures the ‘Big Five’ personality traits, ( Costa & McCrae, 1992 ); the Typical Intellectual Engagement Scale ( Goff & Ackerman, 1992 ) and a measure of learning style, the Study Process Questionnaire (SPQ; Biggs, 1987 ). They also completed two ability tests: the Wonderlic Personnel Test ( Wonderlic, 1992 ) a short measure of general intelligence and the General Knowledge Test ( Irving, Cammock, & Lynn, 2001 ) a measure of crystallized intelligence. Six months later they took their (10th grade) GCSE exams comprising four ‘core’ compulsory exams as well as a number of specific elective subjects. Results Correlational analysis suggested that intelligence was the best predictors of school results. Preference test measures accounted for relatively little variance. Regressions indicated that over 50% of the variance in school exams for English (Literature and Language) and Maths and Science combined could be accounted for by these individual difference factors. Conclusions Data from less than an hour's worth of testing pupils could predict school exam results 6 months later. These tests could, therefore, be used to reliably inform important decisions about how pupils are taught.     

Estimating one's own personality and intelligence scores

One hundred and eighty‐seven university students completed the full NEO‐PI‐R assessing the five super‐traits and 30 primary traits, and the Wonderlic Personnel Test of general intelligence. Two months later (before receiving feedback on their psychometric scores), they estimated their own scores on these variables. Results at the super‐factor level indicated that participants could significantly predict/estimate their own Neuroticism, Extraversion, and Conscientiousness scores. The correlation between estimated and psychometrically measured IQ was r=.30, showing that participants could, to some extent, accurately estimate their intelligence. In addition, there were a number of significant correlations between estimated intelligence and psychometrically assessed personality (particularly Neuroticism, Agreeableness and Extraversion). Disagreeable people tended to award themselves higher self‐estimated intelligence scores. Similarly, stable people tended to award themselves higher estimates of intelligence (even when other variables were controlled). Regressing both estimated and psychometric IQ scores onto estimated and psychometric personality scores indicated that the strongest significant effect was the relationship between trait scores and self‐estimated intelligence.     

Sense of direction: General factor saturation and associations with the Big-Five traits

The ability to locate and orient ourselves with respect to environmental space is known as sense of direction (“SOD”). While there is considerable evidence for the predictive utility of self-report measures of this psychological construct, relatively little research has investigated the psychometric properties of the self-report scale by which it is most commonly measured – the Santa Barbara Sense of Direction scale (SBSOD, Hegarty et al., 2002) – or the broader personality correlates. The present study evaluated the factor structure of the SBSOD following administration to 12,155 individuals and situated it among prominent sources of individual differences, specifically the Big Five personality traits and intelligence. Findings suggest that the SBSOD scale has relatively high general factor saturation, and that a considerable portion of the variance in SBSOD scores is explained by other personality traits, including Conscientiousness (r = 0.33), Intellect (r = 0.27), Emotional Stability (r = 0.26), and Extraversion (r = 0.23). Cognitive ability was less highly correlated with SBSOD scores when measured at the level of general intelligence (r = 0.11) and in terms of mental rotation ability (r = .07). Recommendations are given for revision of the SBSOD scale based on item-level analyses.     

The Frequency Accrual Speed Test (FAST): psychometric intelligence and personality correlates

Performance on a putative psychophysical measure of information processing related to intelligence (Vickers' 1995 Frequency Accrual Speed Test, FAST) was assessed in relation to two psychometric measures of intelligence (Raven's Advanced Progressive Matrices and the Mill Hill vocabulary test). Participants (N = 57) completed the Eysenck Personality Questionnaire — Revised (EPQ‐R), and performed the FAST task under either low (70 dB) or high (90 dB) levels of white noise. FAST correlated with Raven's (r = 0.56) and Mill Hill (r = 0.28), as expected. FAST total scores were not affected by personality or personality‐by‐noise interactions. However, a measure of consistency of FAST performance (i.e. the standard deviation) was correlated negatively with total FAST scores (r = ?0.37) and positively with (EPQ‐R) extraversion (r = 0.34). The results are discussed in terms of the validity of the FAST to explicate the information processing variables in psychometric intelligence. Copyright © 2001 John Wiley & Sons, Ltd.     

Measuring Procedural Knowledge More Simply with a Single-Response Situational Judgment Test

Purpose  This paper describes the development of a situational judgment test (SJT) based on single-response options developed directly from critical incidents and reports a study that tested the SJT’s concurrent validity against ratings of job performance. Design/Methodology/Approach  Situational judgment test items were developed from critical incidents provided by administrators of volunteer agencies. Volunteers who worked at another agency completed the SJT and a self-report personality test. Supervisors rated their job performance on three dimensions. Findings  Situational judgment test scores representing procedural knowledge about work effort were significantly correlated with ratings of work effort performance (r = .28). Conscientiousness was correlated with work effort knowledge (r = .26), but not with work effort performance (r = −.02). Implications  These results provide some preliminary evidence that a single-response SJT format based upon critical incidents can produce valid measures of procedural knowledge and might be a useful alternative to the traditional multiple-response format. Originality/Value  This paper presents a novel way to construct SJTs using single-response options that are less laborious to develop than the multiple-response options in traditional SJT formats. Results of the validity study suggest that this new single-response format can predict job performance and encourage further research on the viability of this approach.     

Loneliness and the Big Five Personality Traits: A Meta-analysis

This preregistered meta-analysis (k = 113, total n = 93 668) addressed how the Big Five dimensions of personality (extraversion, agreeableness, conscientiousness, neuroticism, and openness) are related to loneliness. Robust variance estimation accounting for the dependency of effect sizes was used to compute meta-analytic bivariate correlations between loneliness and personality. Extraversion (r = −.370), agreeableness (r = −.243), conscientiousness (r = −.202), and openness (r = −.107) were negatively related to loneliness. Neuroticism (r = .358) was positively related to loneliness. These associations differed meaningfully in strength depending on how loneliness was assessed. Additionally, meta-analytic structural equation modelling was used to investigate the unique association between each personality trait and loneliness while controlling for the other four personality traits. All personality traits except openness remained statistically significantly associated with loneliness when controlling for the other personality traits. Our results show the importance of stable personality factors in explaining individual differences in loneliness. © 2020 The Authors. European Journal of Personality published by John Wiley & Sons Ltd on behalf of European Association of Personality Psychology.     

The relationship between measures of creativity and schizotypy

The aim of this study was to determine the extent to which a measure of multidimensional schizotypy and intelligence predicted measures of creativity, as assessed by self-rated creativity, a measure of the creative personality (CPS: Gough, 1979) and an inventory of creative behaviours. Additionally an aggregation of the three different measures; total creativity was examined. 140 participants completed the creativity measures, a general intelligence test (Wonderlic Personnel Test: Wonderlic, 1992) in addition to a multidimensional schizotypy inventory (O-LIFE: Mason, Claridge, & Jackson, 1995). The Unusual Experiences and Impulsive Nonconformity dimensions of the O-LIFE were positively and significantly related to creativity. The Cognitive Disorganisation dimension was found to be negatively and significantly related to creativity. The implications of the findings were discussed.     

The association between g and K in a sample of 4246 Swedish twins: A behavior genetic analysis

Whereas the heritability of general intelligence (g) is very well documented, there are relatively few reports of the heritability of life history speed (K). Moreover, the correlation between g and K is of great theoretical significance. Here, we examine the heritabilities of g and K in a sample of 2123 complete Swedish twin pairs, as well as looking for evidence of common genetic variance between the two. We find a significant albeit very small correlation between relatively strong measures of g (the Wiener Matrizen Test) and K (the Mini-K; r = .03, p < .05). Controlling for attenuation by reliabilities and imperfect validity using validity generalization increased the correlation to rho = .05 (p < .05). There was no significant common additivity between g and K, however path elimination in behavior genetic structural equations modeling suggests that the small common variance is nonetheless likely to stem from shared additive genetic influences rather than from environmental influences. The implications of this are discussed. Our new estimate of the heritability of the life history in the Swedish population is a particularly significant result, as the heritability of life history speed has never before been established in non-US samples.     

The Validity of a New,Self-report Measure of Multiple Intelligence

In all, 187 participants completed a new, self-report measure of eight multiple intelligences (Haselbauer 2005), a General Knowledge test (Irwing et al. Personality and Individual Differences 30:857–871, 2001), a measure of Approaches to Learning Styles (Biggs 1987), a measure of the Big Five personality traits (Costa and McCrae 1992), as well as gave their own estimated scores on the Gardner (1999) multiple intelligences. Alpha co-efficients were modest with only three of the eight test-derived, multiple intelligence scores being over .70. ‘Linguistic’ and Mathematical intelligence alone were correlated with General Knowledge. Five of the eight ‘intelligences’ were correlated both with Extraversion and Openness. Regressions indicated that ‘Intrapersonal intelligence’ was closely linked with Stability and Conscientiousness; ‘Interpersonal intelligence’ with Extraversion; ‘Linguistic intelligence’ with Openness; ‘Mathematical intelligence’ with Agreeableness and Conscientiousness. Correlations between self-estimated and test-derived emotional intelligence showed correlations ranging from r = .18 to r = .56 for similar type ‘intelligences’. This study provides modest evidence for the concurrent and construct validity of this measure. It requires more psychometric evidence of validity before it is used.     

Multidimensional Perfectionism and the Big Five Personality Traits: A Meta‐analysis

Multidimensional perfectionism includes the dimensions perfectionistic concerns and perfectionistic strivings. Many studies have investigated the nomological network of multidimensional perfectionism by relating perfectionistic concerns and perfectionistic strivings to the Big Five personality traits. Results from these studies were largely inconsistent. In the present study, we meta‐analytically integrated 672 effect sizes from 72 samples (N = 21 573) describing relations between multidimensional perfectionism and the Big Five personality traits. Perfectionistic concerns correlated positively with Neuroticism (r = 0.383) and negatively with Extraversion (r = ?0.198), Agreeableness (r = ?0.198), Conscientiousness (r = ?0.111), and Openness (r = ?0.087). Perfectionistic strivings correlated positively with Conscientiousness (r = 0.368), Openness (r = 0.121), Neuroticism (r = 0.090), and Extraversion (r = 0.067) and were unrelated to Agreeableness (r = 0.002). The measures of perfectionistic concerns and perfectionistic strivings moderated most of these relations. Meta‐analytic structural equation modelling allowed controlling each perfectionism dimension for the respective other. This partialling increased all correlations with the exception of the previously positive correlation between perfectionistic strivings and Neuroticism, which ceased to be significant. The findings support the distinction between perfectionistic strivings and perfectionistic concerns and demonstrate how multidimensional perfectionism is situated in the context of broader personality traits. © 2019 European Association of Personality Psychology     

The Situational Test of Emotional Management – Brief (STEM-B): Development and validation using item response theory and latent class analysis

This study uses a 3-Parameter Logistic item response theory (IRT) model to develop an 18-item short-form of the Situational Test of Emotion Management (STEM). In a sample of 900 people, the short form showed acceptable reliability (reliability index = .87; Cronbach’s alpha = .84) and a meaningful correlation with another indicator of emotional intelligence (i.e., r = .30 with the Situational Test of Emotional Understanding). Latent class analysis of the short-form detected two classes. For all items, participants in Class 2 had a higher probability of selecting the best option than Class 1. When response options were coded to represent different emotion regulation strategies, Class 2 had a higher probability of endorsing “situation modification” and Class 1 had a higher probability of endorsing “no regulation”. These results provide validity evidence for the STEM-B as an assessment of emotion regulation.     

How satisfied are you with your job? Estimating the reliability of scores on a single‐item job satisfaction measure

Estimating the reliability of scores on single‐item measures can be difficult because commonly used internal consistency estimates of reliability cannot be calculated. When longitudinal data is available, statistical models can be used to decompose the variability in the latent variable at each wave into trait versus state variance. Then, reliability can be estimated as a ratio of the sum of the trait variance that is captured in repeated assessments over the total variance. The current study used latent trait‐state‐error models on a nine‐year longitudinal data (N = 5,003) to estimate the test–retest reliability of scores on a single‐item measure of job satisfaction. Results showed that job satisfaction scores were somewhat unreliable (r_xx = .49–.59) and amenable to change.     

Multicultural Personality Dispositions and Trait Emotional Intelligence: An Exploratory Study

ABSTRACT

This study examined the relationship between multicultural personality dispositions and trait emotional intelligence. The sample included 152 graduate education students enrolled at a university in a large northeastern city of the United States. The multicultural personality dispositions of Cultural Empathy and Social Initiative predicted variance in trait emotional intelligence above and beyond the variance accounted for by gender and potential socially desirable responding. Study limitations are highlighted, and suggestions for follow-up quantitative and qualitative research are presented.