Personality, intelligence, and academic achievement: Charting their developmental interplay.

OBJECTIVE: Although intelligence and personality traits have long been recognized as key predictors of students' academic achievement, little is known about their longitudinal and reciprocal associations. Here, we charted the developmental interplay of intelligence, personality (Big Five) and academic achievement in 3880 German secondary school students, who were assessed four times between the ages 11 and 14 years (i.e., in grades 5, 6, 7, and 8). METHOD: We fitted random intercept cross-lagged panel models (RI-CLPs) to investigate reciprocal within-person associations between (a) academic achievement and intelligence, (b) academic achievement and personality, as well as (c) intelligence and personality. RESULTS: The results revealed negative within-person associations between Conscientiousness and Extraversion assessed at the first wave of measurement and intelligence assessed at the second wave. None of the reciprocal personality-achievement associations attained statistical significance. Academic achievement and intelligence showed reciprocal within-person relations, with the strongest coefficients found for achievement longitudinally predicting intelligence. CONCLUSIONS: Our work contributes to developmental theorizing on interrelations between personality, intelligence, and academic achievement, as well as to within-person conceptualizations in personality research.

Reading to learn? The co-development of mathematics and reading during primary school.

Understanding how early reading and mathematics co-develop is important from both theoretical and pedagogical standpoints. Previous research has provided mixed results. This paper investigates the development of reading and mathematics in a longitudinal sample of N = 355,883 students from the United Kingdom (2005-2019) aged 5 to 12 (49% girls). Results indicate a positive relation between the development of the two domains. In addition, a substantial statistically significant positive association between prior reading scores and subsequent changes in achievement in mathematics was found, whereas changes in reading were smaller for students with a higher prior performance in mathematics. The findings suggest that acquiring good reading skills is highly relevant for developing mathematics skills. Implications for theory and practice are discussed.

RIASEC interests and the Big Five personality traits matter for life success-But do they already matter for educational track choices?

OBJECTIVE: Educational track choices have far-reaching consequences because they are associated with long-term life success. Theoretical approaches and previous empirical research have nearly exclusively identified family background and achievement as determinants of these choices. Although students' educational track choices might fit their personality, individual differences in personality have not been explored. We investigated the effects of two personality aspects-RIASEC interests and Big Five traits-on hierarchically ranked track choices (vocational vs. general educational track), alongside family background and achievement. METHOD: We used two German data sets (TOSCA 10 study: N = 473; TOSCA study: N = 4,218) focusing on choices between the general educational track (leading to higher educational attainment) and the vocational track (leading to work life) at two different stages in educational careers. We ran several multiple (logistic) regressions. RESULTS: The results showed that certain aspects of students' personality matter for educational track choices. Accordingly, across both studies, students with high Investigative or Enterprising interests more often chose the general educational track, whereas students with high Social or Conventional interests more often chose the vocational track-after the Big Five personality traits, achievement, and family background were controlled for. The Big Five traits showed no or only small significant associations with educational track choices. CONCLUSION: These findings underscore the importance of considering individual differences when investigating important life outcomes such as track choices.

School or Work? The Choice May Change Your Personality.

According to the social-investment principle, entering new environments is associated with new social roles that influence people's behaviors. In this study, we examined whether young adults' personality development is differentially related to their choice of either an academic or a vocational pathway (i.e., entering an academic-track school or beginning vocational training). The personality constructs of interest were Big Five personality traits and vocational-interest orientations. We used a longitudinal study design and propensity-score matching to create comparable groups before they entered one of the pathways and then tested the differences between these groups 6 years later. We expected the vocational pathway to reinforce more mature behavior and curtail investigative interest. Results indicated that choosing the vocational compared with the academic pathway was associated with higher conscientiousness and less interest in investigative, social, and enterprising activities.

The effects of getting a new teacher on the consistency of personality.

OBJECTIVE: In the present research, we examined the effect of getting a new teacher on consistency in students' personality measures, including trait and social cognitive constructs. METHOD: To test the effect of this kind of situational transition, we analyzed two large longitudinal samples (N = 5,628; N = 2,458) with quasi-experimental study designs. We used two consistency measures (i.e., rank-order clations and changes in variance over time) to compare students who got a new teacher with students who kept the same teacher. RESULTS: Multiple-group latent variable analyses showed no differences in the rank-order correlations for the math-related social cognitive constructs of interest, effort, self-concept, self-regulation, anxiety, and the Big Five personality traits. Significantly lower rank-order correlations were found for some of the German- and English-related social cognitive constructs (i.e., effort measures) for the group of students who got a new teacher. Regarding the changes in variance (over time), we found no systematic differences between groups in both studies. CONCLUSIONS: We found partial support for the idea that social cognitive variables are more susceptible to environmental changes (i.e., getting a new teacher) than the Big Five personality traits are.

It's Not Only Who You Are but Who You Are With: High School Composition and Individuals' Attainment Over the Life Course.

We examined life-course effects of attending selective schools using a longitudinal study of U.S. high school students begun in 1960 ( Ns ranging from 1,952 to 377,015). The effects, measured 11 and 50 years after the initial assessment, differed significantly across the two indicators of school selectivity that were used. School average socioeconomic background was positively related to students' educational expectations, educational attainment, income, and occupational prestige at the 11-year follow-up (0.15 ≤ ß ≤ 0.39; all ps < .001). Conversely, schools' average achievement at the 11-year follow-up was negatively related to students' expectations, attainment, income, and occupational prestige (-0.42 ≤ ß ≤ -0.05; all ps < .05) when schools' socioeconomic background was controlled for. All associations were mediated by students' educational expectations. With the exception of income, these effects were consistent 50 years after high school, pointing to the long reach of beneficial learning resources and negative social comparison processes when attending selective schools.

The Role of Family Characteristics for Students' Academic Outcomes: A Person-Centered Approach.

Using data from 1,571 ninth-grade students (Mage  = 14.62) from 82 academic track schools in Germany and their predominantly Caucasian middle-class parents, configurations of different family characteristics reported by parents were investigated. Latent profile analyses considering academic involvement, family interest, parents' self-concept, child's need for support, and parents' time and energy identified average, indifferent, motivated and engaged, motivated and disengaged, and involved families. Cross-sectional and longitudinal associations with students' motivational (self-concept, effort, and interest) and achievement outcomes (achievement test and grades) in math were analyzed. Students from families classified as motivated and disengaged showed higher initial levels motivation and achievement. Over 5 months, these students also showed an increase in self-concept and higher achievement than students from other family types.

Using propensity score matching to construct experimental stimuli.

Propensity score matching is widely used in various fields of research, including psychology, medicine, education, and sociology. It is usually applied to find a matched control group for a treatment group. In the present article, we suggest that propensity score matching might also be used to construct item sets matched for different parameters. We constructed stimuli to illustrate the use of propensity score matching in item construction for the exemplary cases of numerical cognition research and reading research. In particular, we provide a step-by-step approach, using the statistics software R, for how to apply propensity score matching for constructing matched stimuli. This approach involves deciding on a population of stimuli, determining and calculating the covariates, and finally applying the propensity-matching method to find a set of items matched to another predefined set. Thereby, we were able to construct well-matched item sets for both examples. Hence, we conclude that the propensity-score-matching method is useful for constructing matched stimuli. Further cases of application are discussed.

Testing measurement invariance across Spanish and English versions of the physical self-description questionnaire: an application of exploratory structural equation modeling.

Test of measurement invariance across translated versions of questionnaires is a critical prerequisite to comparing scores on the different versions. In this study, we used exploratory structural equation modeling (ESEM) as an alternative approach to evaluate the measurement invariance of the Spanish version of the Physical Self-Description Questionnaire (PSDQ). The two versions were administered to large samples of Australian and Spanish adolescents. First, we compared the CFA and ESEM approaches and showed that ESEM fitted the data much better and resulted in substantially more differentiated factors. We then tested measurement invariance with a 13-model ESEM taxonomy. Results justified using the Spanish version of the PSDQ to carry out cross-cultural comparisons in sport and exercise psychology research. Overall, the study can stimulate research on physical self-concept across countries and foster better cross-cultural comparisons.

School life and adolescents' self-esteem trajectories.

This study investigates heterogeneity in adolescents' trajectories of global self-esteem (GSE) and the relations between these trajectories and facets of the interpersonal, organizational, and instructional components of students' school life. Methodologically, this study illustrates the use of growth mixture analyses, and how to obtain proper student-level effects when there are multiple schools, but not enough to support multilevel analyses. This study is based on a 4-year, six-measurement-point, follow-up of 1,008 adolescents (M(age) = 12.6 years, SD = 0.6 at Time 1.) The results show four latent classes presenting elevated, moderate, increasing, and low trajectories defined based on GSE levels and fluctuations. The results show that GSE becomes trait-like as it increases and that school life effects, moderated by gender, played an important role in predicting membership in these trajectories.

Mutual benefits for research and practice: Randomized controlled trials in the Hector Children's Academy Program.

This article describes how a series of randomized controlled trials (RCTs) were implemented in the Hector Children's Academy Talent Development Program with the goal of generating mutual benefits for research and practice. The Hector Children's Academy Program, founded in 2010 and located in one of the largest states in Germany, Baden-Württemberg, is a statewide enrichment program for talented primary school students, with a focus on STEMM topics. The program is financed by a private foundation, supervised by the Ministry of Education, and offered by 69 local sites that are hosted by local schools. About 15,000 primary school students (Grades 1-4) attend enrichment courses (more than 23,000 course participations) offered by the Hector Children's Academy Program every year. A unique element of the Hector Children's Academy Program is the role of empirical research in course development. The Hector Core Courses-offered by all local sites-undergo a strict quality assurance process in which RCTs are used to test their effectiveness with regard to central outcomes. After describing the Hector Children's Academy Program, we explain how the Hector Core Courses were developed and incorporated into the program, summarize key findings from the RCTs, and discuss mutual benefits for research and practice.

Does students' awareness of school-track-related stereotypes exacerbate inequalities in education?

Early ability tracking increases inequalities in education. It has been proposed that the awareness of negative school-track-related stereotypes contributes to educational inequalities, as stereotype awareness interferes with students' abilities to thrive, particularly those in lower, stigmatized tracks. The present study tested this assumption in a sample of 3880 German secondary school students from three tracks, who were assessed four times on stereotype awareness regarding their own school track and academic outcomes (achievement, engagement, self-concept) between Grades 5 and 8. Students in the lowest track reported higher levels of stereotype awareness than higher track students or students attending a combined track. Stereotype awareness increased across time in all tracks. Contrary to our preregistered hypotheses, however, the results from multigroup models revealed that (changes in) stereotype awareness were not more strongly related to (changes in) most outcomes in the lowest track in comparison with the other two tracks.

Who took the "x" out of expectancy-value theory? A psychological mystery, a substantive-methodological synergy, and a cross-national generalization.

Expectancy-value theory (EVT) is a dominant theory of human motivation. Historically, the Expectancy × Value interaction, in which motivation is high only if both expectancy and value are high, was central to EVT. However, the Expectancy × Value interaction mysteriously disappeared from published research more than 25 years ago. Using large representative samples of 15-year-olds (N = 398,750) from 57 diverse countries, we attempted to solve this mystery by testing Expectancy × Value interactions using latent-variable models with interactions. Expectancy (science self-concept), value (enjoyment of science), and the Expectancy × Value interaction all had statistically significant positive effects on both engagement in science activities and intentions of pursuing scientific careers; these results were similar for the total sample and for nearly all of the 57 countries considered separately. This study, apparently the strongest cross-national test of EVT ever undertaken, supports the generalizability of EVT predictions--including the "lost" Expectancy × Value interaction.

Stability and change in vocational interests after graduation from high school: A six-wave longitudinal study.

Vocational interests shape major life decisions and predict major life outcomes. Therefore, it is important to understand how vocational interests develop in young adulthood, a time when young people begin to make their own life decisions. In the present study, we investigated stability and change in vocational interests across a time span of 10 years, including the transition from high school to postsecondary education and the transition into the labor market. Using a large data set comprised of 3,023 German young adults, we provide descriptive information about the longitudinal development of vocational interests across 6 equally spaced time points. We investigated 5 different indicators of stability and change: rank-order stabilities, mean-level changes, changes in variance, profile stabilities, and profile differentiation, as well as gender differences in these indicators. We found high stabilities for the interest scales and interest profiles that increased even more across the period of 10 years. Substantial changes in mean levels occurred primarily in the context of the transition from high school to university, to vocational training, or into the labor market. As expected, there were gender differences in the mean levels, but the developmental patterns in the trajectories of vocational interests were very similar for men and women. Overall, our findings indicate that longitudinal studies with multiple time points are needed to extend knowledge about interest development. In addition, our findings demonstrate that considering normative social transitions may be key to better understanding longitudinal interest development. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Modeling Multiple Item Context Effects With Generalized Linear Mixed Models.

Item context effects refer to the impact of features of a test on an examinee's item responses. These effects cannot be explained by the abilities measured by the test. Investigations typically focus on only a single type of item context effects, such as item position effects, or mode effects, thereby ignoring the fact that different item context effects might operate simultaneously. In this study, two different types of context effects were modeled simultaneously drawing on data from an item calibration study of a multidimensional computerized test (N = 1,632) assessing student competencies in mathematics, science, and reading. We present a generalized linear mixed model (GLMM) parameterization of the multidimensional Rasch model including item position effects (distinguishing between within-block position effects and block position effects), domain order effects, and the interactions between them. Results show that both types of context effects played a role, and that the moderating effect of domain orders was very strong. The findings have direct consequences for planning and applying mixed domain assessment designs.

Gender Stereotypes in a Children's Television Program: Effects on Girls' and Boys' Stereotype Endorsement, Math Performance, Motivational Dispositions, and Attitudes.

Television programs are a central part of children's everyday lives. These programs often transmit stereotypes about gender roles such as "math is for boys and not for girls." So far, however, it is unclear whether stereotypes that are embedded in television programs affect girls' and boys' performance, motivational dispositions, or attitudes. On the basis of research on expectancy-value theory and stereotype threat, we conducted a randomized study with a total of 335 fifth-grade students to address this question. As the experimental material, we used a television program that had originally been produced for a national TV channel. The program was designed to show children that math could be interesting and fun. In the experimental condition, the program included a gender stereotyped segment in which two girls who were frustrated with math copied their math homework from a male classmate. In the control condition, participants watched an equally long, neutral summary of the first part of the video. We investigated effects on boys' and girls' stereotype endorsement, math performance, and different motivational constructs to gain insights into differential effects. On the basis of prior research, we expected negative effects of watching the stereotypes on girls' performance, motivational dispositions, and attitudes. Effects on the same outcomes for boys as well as children's stereotype endorsement were explored as open questions. We pre-registered our research predictions and analyses before conducting the experiment. Our results provide partial support for short-term effects of gender stereotypes embedded in television programs: Watching the stereotypes embedded in the video increased boys' and girls' stereotype endorsement. Boys reported a higher sense of belonging but lower utility value after watching the video with the stereotypes. Boys' other outcome variables were not affected, and there were also no effects on girl's performance, motivational dispositions, or attitudes. Results offer initial insights into how even short segments involving gender stereotypes in television shows can influence girls' and boys' stereotype endorsement and how such stereotypes may constitute one factor that contributes to gender differences in the STEM fields.

What to do when scalar invariance fails: The extended alignment method for multi-group factor analysis comparison of latent means across many groups.

Scalar invariance is an unachievable ideal that in practice can only be approximated; often using potentially questionable approaches such as partial invariance based on a stepwise selection of parameter estimates with large modification indices. Study 1 demonstrates an extension of the power and flexibility of the alignment approach for comparing latent factor means in large-scale studies (30 OECD countries, 8 factors, 44 items, N = 249,840), for which scalar invariance is typically not supported in the traditional confirmatory factor analysis approach to measurement invariance (CFA-MI). Importantly, we introduce an alignment-within-CFA (AwC) approach, transforming alignment from a largely exploratory tool into a confirmatory tool, and enabling analyses that previously have not been possible with alignment (testing the invariance of uniquenesses and factor variances/covariances; multiple-group MIMIC models; contrasts on latent means) and structural equation models more generally. Specifically, it also allowed a comparison of gender differences in a 30-country MIMIC AwC (i.e., a SEM with gender as a covariate) and a 60-group AwC CFA (i.e., 30 countries × 2 genders) analysis. Study 2, a simulation study following up issues raised in Study 1, showed that latent means were more accurately estimated with alignment than with the scalar CFA-MI, and particularly with partial invariance scalar models based on the heavily criticized stepwise selection strategy. In summary, alignment augmented by AwC provides applied researchers from diverse disciplines considerable flexibility to address substantively important issues when the traditional CFA-MI scalar model does not fit the data. (PsycINFO Database Record

Robin Hood effects on motivation in math: Family interest moderates the effects of relevance interventions.

Using a cluster randomized field trial, the present study tested whether 2 relevance interventions affected students' value beliefs, self-concept, and effort in math differently depending on family background (socioeconomic status, family interest (FI), and parental utility value). Eighty-two classrooms were randomly assigned to either 1 of 2 intervention conditions or a control group. Data from 1,916 students (Mage = 14.62, SDage = 0.47) and their predominantly Caucasian middle-class parents were obtained via separate questionnaires. Multilevel regression analyses with cross-level interactions were used to investigate differential intervention effects on students' motivational beliefs 6 weeks and 5 months after the intervention. Socioeconomic status, FI, and parental utility values were investigated as moderators of the intervention effects. The intervention conditions were especially effective in promoting students' utility, attainment, intrinsic value beliefs, and effort 5 months after the intervention for students whose parents reported lower levels of math interest. Furthermore, students whose parents reported low math utility values especially profited in terms of their utility and attainment math values 5 months after the intervention. No systematic differential intervention effects were found for socioeconomic status. These results highlight the effectiveness of relevance interventions in decreasing motivational gaps between students from families with fewer or more motivational resources. Findings point to the substantial importance of motivational family resources, which have been neglected in previous research. (PsycINFO Database Record

Vocational interests assessed at the end of high school predict life outcomes assessed 10 years later over and above IQ and Big Five personality traits.

Vocational interests are important aspects of personality that reflect individual differences in motives, goals, and personal strivings. It is therefore plausible that these characteristics have an impact on individuals' lives not only in terms of vocational outcomes, but also beyond the vocational domain. Yet the effects of vocational interests on various life outcomes have rarely been investigated. Using Holland's RIASEC taxonomy (Holland, 1997), which groups vocational interests into 6 broad domains, the present study examined whether vocational interests are significant predictors of life outcomes that show incremental validity over and above the Big Five personality traits. For this purpose, a cohort of German high school students (N = 3,023) was tracked over a period of 10 years after graduating from school. Linear and logistic regression analyses were used to examine the predictive validity of RIASEC interests and Big Five personality traits. Nine outcomes from the domains of work, relationships, and health were investigated. The results indicate that vocational interests are important predictors of life outcomes that show incremental validity over the Big Five personality traits. Vocational interests were significant predictors of 7 of the 9 investigated outcomes: full-time employment, gross income, unemployment, being married, having children, never having had a relationship, and perceived health status. For work and relationship outcomes, vocational interests were even stronger predictors than the Big Five personality traits. For health-related outcomes, the results favored the personality traits. Effects were similar across gender for all outcomes-except 2 relationship outcomes. Possible explanations for these effects are discussed. (PsycINFO Database Record

Evaluative conditioning and the awareness issue: assessing contingency awareness with the four-picture recognition test.

An experiment is described that tested the moderating influence of contingency awareness on evaluative conditioning. After participants were conditioned within the picture-picture paradigm, contingency awareness was assessed by means of a recognition test (i.e., the 4-picture recognition test). Results indicate an inverse relationship between the conditioned affective reaction and contingency awareness: Only participants classified as unaware in the recognition test showed significant effects of evaluative learning. A closer inspection indicates that aware individuals stored not only the valence but also the nominal stimulus in mind.