Publications by authors named "Benjamin Nagengast"

Introduction: Despite having sufficient formal education, a large group of people cannot complete everyday tasks like reading, writing, or making basic calculations. Regarding reading, millions of people are not able to understand more complex texts despite the ability to read simple words or sentences; they have low literacy skills. Even though this problem has been known for decades, the causes and predictors of their poor reading comprehension skills are not fully explored.

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Article Synopsis
  • Early ability tracking in education can exacerbate inequalities among students based on their school tracks.
  • The study analyzed 3,880 German secondary school students over four years, focusing on how students' awareness of stereotypes related to their tracks affected their academic performance and self-perception.
  • Interestingly, while students in lower tracks showed higher stereotype awareness, this awareness did not have a more significant negative impact on their academic outcomes compared to students in higher or combined tracks.
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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.

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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.

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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).

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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.

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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.

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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.

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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.

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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.

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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).

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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.

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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 (M = 14.

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Using data from 1,571 ninth-grade students (M  = 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.

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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.

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Item nonresponse is a common problem in educational and psychological assessments. The probability of unplanned missing responses due to omitted and not-reached items may stochastically depend on unobserved variables such as missing responses or latent variables. In such cases, missingness cannot be ignored and needs to be considered in the model.

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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.

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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.

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Interventions targeting students' perceived relevance of the learning content have been shown to effectively promote student motivation within science classes (e.g., Hulleman & Harackiewicz, 2009).

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Conventionally, multilevel analysis of covariance (ML-ANCOVA) has been the recommended approach for analyzing treatment effects in quasi-experimental multilevel designs with treatment application at the cluster-level. In this paper, we introduce the generalized ML-ANCOVA with linear effect functions that identifies average and conditional treatment effects in the presence of treatment-covariate interactions. We show how the generalized ML-ANCOVA model can be estimated with multigroup multilevel structural equation models that offer considerable advantages compared to traditional ML-ANCOVA.

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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.

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The present investigation has a dual focus: to evaluate problematic practice in the use of item parcels and to suggest exploratory structural equation models (ESEMs) as a viable alternative to the traditional independent clusters confirmatory factor analysis (ICM-CFA) model (with no cross-loadings, subsidiary factors, or correlated uniquenesses). Typically, it is ill-advised to (a) use item parcels when ICM-CFA models do not fit the data, and (b) retain ICM-CFA models when items cross-load on multiple factors. However, the combined use of (a) and (b) is widespread and often provides such misleadingly good fit indexes that applied researchers might believe that misspecification problems are resolved--that 2 wrongs really do make a right.

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Historically, expectancy-value models of motivation assumed a synergistic relation between expectancy and value: motivation is high only when both expectancy and value are high. Motivational processes were studied from a within-person perspective, with expectancies and values being assessed or experimentally manipulated across multiple domains and the focus being placed on intraindividual differences. In contrast, contemporary expectancy-value models in educational psychology concentrate almost exclusively on linear effects of expectancy and value on motivational outcomes, with a focus on between-person differences.

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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.

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The individually importance-weighted average (IIWA) model posits that the contribution of specific areas of self-concept to global self-esteem varies systematically with the individual importance placed on each specific component. Although intuitively appealing, this model has weak empirical support; thus, within the framework of a substantive-methodological synergy, we propose a multiple-item latent approach to the IIWA model as applied to a range of self-concept domains (physical, academic, spiritual self-concepts) and subdomains (appearance, math, verbal self-concepts) in young adolescents from two countries. Tests considering simultaneously the effects of self-concept domains on trait self-esteem did not support the IIWA model.

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