Pathological gambling in Estonia: Relationships with personality, self-esteem, emotional states and cognitive ability

Abstract Due to changes in gambling accessibility during the last decade gambling has become more widespread in Estonia and the prevalence of pathological gambling has sharply increased. The present study attempts to identify psychological characteristics of Estonian pathological gamblers. It has been shown that a wide range of social, economic, and individual factors (e.g. personality traits and emotional states) predict the likelihood of becoming a pathological gambler. In the present study, pathological gamblers' (N = 33) personality traits, self-esteem, self-reported emotional states and cognitive ability were compared to the respective characteristics in a non-gambling control group (N = 42) matched for age, gender and educational level. It was found that compared to controls, pathological gamblers had higher scores on Neuroticism (especially on its immoderation facet) and lower scores on Conscientiousness (especially on its dutifulness and cautiousness facets) and on self-esteem scale. They reported more negative emotional states during the previous month (especially depression and anxiety). Finally, pathological gamblers had lower general cognitive ability. In a logistic regression model, the likelihood of being a pathological gambler was best predicted by high immoderation score and low cognitive ability

Personality traits below facets: The consensual validity, longitudinal stability, heritability, and utility of personality nuances

It has been argued that facets do not represent the bottom of the personality hierarchy-even more specific personality characteristics, nuances, could be useful for describing and understanding individuals and their differences. Combining 2 samples of German twins, we assessed the consensual validity (correlations across different observers), rank-order stability, and heritability of nuances. Personality nuances were operationalized as the 240 items of the Revised NEO Personality Inventory (NEO-PI-R). Their attributes were examined by analyzing item residuals, controlling for the variance of the facet the item had been assigned to and all other facets. Most nuances demonstrated significant (p < .0002) cross-method agreement and rank-order stability. A substantial proportion of them (48% in self-reports, 20% in informant ratings, and 50% in combined ratings) demonstrated a significant (p < .0002) component of additive genetic variance, whereas evidence for environmental influences shared by twins was modest. Applying a procedure to estimate stability and heritability of true scores of item residuals yielded estimates comparable with those of higher-order personality traits, with median estimates of rank-order stability and heritability being .77 and .52, respectively. Few nuances demonstrated robust associations with age and gender, but many showed incremental, conceptually meaningful, and replicable (across methods and/or samples) predictive validity for a range of interest domains and body mass index. We argue that these narrow personality characteristics constitute a valid level of the personality hierarchy. They may be especially useful for providing a deep and contextualized description of the individual, but also for the prediction of specific outcomes

Most people’s life satisfaction matches their personality traits:True correlations in multi-trait, multi-rater, multi-sample data

Despite numerous meta-analyses, the true extent to which life satisfaction reflects personality traits has remained unclear due to overreliance on a single method to assess both and insufficient attention to construct overlaps. Using data from three samples tested in different languages (Estonian, N = 20,886; Russian, N = 768; English, N = 600), we combined self- and informant-reports to estimate personality domains’ and nuances’ true correlations (rtrue) with general life satisfaction (LS) and satisfactions with eight life domains (DSs), while controlling for single-method and occasion-specific biases and random error, and avoiding direct construct overlaps. The associations replicated well across samples. The Big Five domains and nuances allowed predicting LS with accuracies up to rtrue ≈.80–.90 in independent (sub)samples. Emotional stability, extraversion, and conscientiousness correlated rtrue≈.30–.50 with LS, while its correlations with openness and agreeableness were small. At the nuances level, low LS was most strongly associated with feeling misunderstood, unexcited, indecisive, envious, bored, used, unable, and unrewarded (rtrue ≈.40–.70). Supporting LS’s construct validity, DSs had similar personality correlates among themselves and with LS, and an aggregated DS correlated rtrue ≈.90 with LS. LS’s approximately 10-year stability was rtrue =.70 and its longitudinal associations with personality traits mirrored cross-sectional ones. We conclude that without common measurement limitations, most people’s life satisfaction is highly consistent with their personality traits, even across many years. So, satisfaction is usually shaped by these same relatively stable factors that shape personality traits more broadly

Personality traits below facets:The consensual validity, longitudinal stability, heritability, and utility of personality nuances

Mõttus R, Kandler C, Bleidorn W, Riemann R, McCrae RR. Personality Traits Below Facets: The Consensual Validity, Longitudinal Stability, Heritability, and Utility of Personality Nuances. Journal of Personality and Social Psychology. 2016;112(3):474-490

January 31, 2019

The Breeze is the student newspaper of James Madison University in Harrisonburg, Virginia

Factorial validity, measurement equivalence and cognitive performance of the Cambridge Neuropsychological Test Automated Battery (CANTAB) between patients with first-episode psychosis and healthy volunteers

BackgroundThe purpose of this study was to use selected Cambridge Neuropsychological Test Automated Battery (CANTAB) tests to examine the dimensional structure of cognitive dysfunction in first episode of psychosis (FEP) patients compared with cognition in healthy subjects.MethodA total of 109 FEP patients and 96 healthy volunteers were administered eight CANTAB tests of cognitive function. Principal components analysis (PCA) was used to estimate dimensionality within the test results. The dimensions identified by the PCA were assumed to reflect underlying cognitive traits. The plausibility of latent factor models was estimated using confirmatory factor analysis (CFA). Multi-group CFA (MGCFA) was used to test for measurement invariance of factors between groups. The nature and severity of cognitive deficits amongst patients as opposed to controls were evaluated using a general linear model.ResultsAmongst subjects PCA identified two underlying cognitive traits: (i) a broad cognitive domain; (ii) attention/memory and executive function domains. Corresponding CFA models were built that fitted data well for both FEP patients and healthy volunteers. As in MGCFA latent variables appeared differently defined in patient and control groups, differences had to be ascribed using subtest scores rather than their aggregates. At subtest score level the patients performed significantly worse than healthy subjects in all comparisons (p &lt; 0.001).ConclusionsResults of this study demonstrate that the structure of underlying cognitive abilities as measured by a selection of CANTAB tests is not the same for healthy individuals and FEP patients, with patients displaying widespread cognitive impairment.</jats:sec

Successful explanations start with accurate descriptions:Questionnaire items as personality markers for more accurate predictions

Personality-outcome associations, typically represented using the Big Five personality domains, are ubiquitous, but often weak and possibly driven by the constituents of these domains. We hypothesized that representing the associations using personality questionnaire items (as markers for personality nuances) could increase prediction strength. Using the National Child Development Study (N = 8,719), we predicted 40 diverse outcomes from both the Big Five domains and their 50 items. Models were trained (using penalized regression) and applied for prediction in independent sample partitions (with 100 permutations). Item-models tended to out-predict Big Five-models (explaining on average 30% more variance), regardless of outcomes’ independently-rated breadth versus behavioral specificity. Moreover, the predictive power of Big Five domains per se was at least partly inflated by the unique variance of their constituent items, especially for generally more predictable outcomes. Removing the Big Five variance from items marginally reduced their predictive power. These findings are consistent with the possibility that the associations of personality with outcomes often pertain to (potentially large numbers of) specific behavioral, cognitive, affective and motivational characteristics represented by single questionnaire items rather than to the broader (underlying) traits that these items are ostensibly indicators of. This may also have implications for personality-based interventions