Contingencies between situational variables and psychological states have been proposed as key individual difference variables by many theoretical approaches to personality. Despite their relevance, the basic properties, nomological correlates, and factor structure of individual differences in contingencies have not been examined so far. We address these fundamental questions in five studies with overall N = 952 participants and N = 32,052 unique assessments. Individual differences in situation characteristic-state contingencies (SCSCs) between DIAMONDS situation characteristics and Big Five personality states were examined in everyday life. SCSCs showed substantial variation across participants, and individual differences in them were moderately reliable (average meta-analytic reliability = .47) and short-term stable (average meta-analytic latent stability = .43). They were weakly and inconsistently related to average personality states, self-reported personality traits, subjective happiness, and sociodemographic variables across studies. However, there were meaningful intercorrelations among SCSCs that could be described by four factors: contingencies involving (1) positive states and situational problems, (2) positive states and situational rewards, (3) thinking/work and requirements of thinking/work, and (4) neurotic states. Overall, our findings support the notion of SCSCs as potentially important individual difference variables, and we sketch future lines of research on contingencies. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Vocational interests are traditionally conceived as stable preferences for different activities. However, recent theorizing suggests their intraindividual variability. This preregistered experience sampling study examined intraindividual variation in selected vocational interests states and related situation and person factors (N = 237). Results indicate that the three interest dimensions Investigative, Artistic, and Social interests did vary intraindividually but less so than other phenomena's dimensions (e.g., personality and happiness). At the within‐person level, the focused interest states were related to specific situation characteristics, also after controlling for related personality dimensions and happiness. These relations were either specified a priori, based on the concept of congruence or person‐environment fit, and tested in a strictly confirmatory manner, or identified using a more exploratory approach. Furthermore, aggregated states of the three selected interest dimensions mainly varied below their corresponding trait levels. This suggests that interest trait levels could represent an upper limit for aggregated interest states that could be due to method‐related or construct‐related reasons. The results demonstrate the situational character of interests and provide novel approaches for studying vocational interest in daily life. © 2020 The Authors. European Journal of Personality published by John Wiley & Sons Ltd on behalf of European Association of Personality Psychology

The assessment of the Big Five personality domains is standard practice in most large-scale social surveys nowadays. The instrument most widely used for this purpose is the BFI-10, an ultra-short measure assessing each Big Five domain with two items. Recent studies have identified issues with the structural properties of the BFI-10, especially its factorial validity. To investigate whether these issues arise from the instrument itself or biases due to translation or sampling, we examined the extent to which the structural properties of the BFI-10 in terms of descriptive statistics, intercorrelations, reliability, and factorial validity vary when keeping the target population and language constant. Results revealed that, across 16 independent samples (total N ~ 60,000) from eight large-scale surveys representative of the adult population in Germany, the structural properties of the BFI-10 were (a) largely consistent and (b) mostly adequate. Most importantly, in nearly all samples, patterns of loading were congruent with an idealized Big Five structure, thereby supporting factorial validity. These results demonstrate that the structural properties of the BFI-10 are highly stable and replicable in large-scale samples. Especially given its brevity, the BFI-10 can thus be regarded as adequate for use in large-scale survey settings.

The Big Five personality traits are established predictors of school grades. However, the mechanisms underlying these associations are not yet well understood. Effects of personality on grades might arise because behavioral tendencies facilitate learning and increase subject-specific competencies. Alternatively, personality effects on grades might be independent of cognitive competencies and reflect otherwise valued behaviors or teachers’ grading practices. In the current study, we drew on large-scale data of 7th and 9th graders in Germany to explore the extent to which personality predicted grades even after accounting for competencies. Controlling for competencies and other key covariates, we cross-sectionally and longitudinally examined personality–grade associations across different school subjects, grade levels, and school types. Results indicate that the predictive power of personality is largely independent of subject-specific and general cognitive competencies. The largest effects emerged for conscientiousness. For openness, associations with grades partly overlapped with competencies, suggesting that openness may operate by fostering competencies. Overall, our results suggest that the associations between personality and grades unfold mostly independently of course mastery. This finding underlines the socioemotional value of personality in the classroom and encourages a more fine-grained view of the interplay between personality, competencies, classroom behavior, and grades.

In recent decades, the number of large-scale surveys that have included measures of the Big Five personality traits in their standard questionnaires has grown sharply both in Germany and internationally. Consequently, a vast, heterogeneous, high-quality data base is now readily available to personality psychologists for secondary analyses. In this paper, we provide an overview of 25 public large-scale surveys assessing the Big Five. Our aim is to increase researchers’ awareness of the availability and analytical potential of these data, and ultimately to increase their reuse. We restricted our selection to surveys of the adult population, conducted in Germany, based on probabilistic samples with a minimum sample size of 1,500 respondents, and assessing all Big Five dimensions with a validated Big Five instrument. We describe the study designs, the measures used to assess the Big Five, and the research potential of these valuable data.

Personality traits are assumed to change slowly and incrementally. Recent intervention studies apparently challenge this assumption, showing that personality traits can also change quickly and substantially. However, how frequently do such quick changes manifest in the general population? This study sought to determine (1) a base rate of year-to-year changes in the general population and (2) the extent to which these shifts are related to longer-term change patterns. We examined year-to-year change in Big Five traits with nationally representative data from 7005 German participants, annually tracked for up to six years. Year-to-year patterns exhibited stability and change (e.g., ≥ 1 SD year-to-year change in ≈ 20%). Across participants, year-to-year trait score increases and decreases occurred in equal proportions, suggesting that in a given sample, year-to-year changes in different directions average out. Within participants, however, in all domains but agreeableness, year-to-year changes reliably propagated to longer-term trajectories. While much of the year-to-year change faded away in subsequent years, lasting shifts in individuals’ trait levels remained, particularly upon pronounced year-to-year decreases. Overall, (pronounced) year-to-year changes were relatively common, largely reversible, and yet predictive of individuals’ longer-term trajectories. We discuss how the results bridge set-point assumptions with assumptions of incremental trait change.