No abstract

Many models have been proposed to examine the reciprocal cross-lagged causal effects from panel data. The purpose of the current article is to clarify how these various models control for unmeasured time-invariant confounders, helping researchers understand the differences of the models from causal inference perspective. We showed that cross-lagged panel model controls for time-invariant confounders that indirectly influence the relationships from prior time points. We also showed that there are other models (e.g., dynamic panel model, random-intercept cross-lagged panel model) that directly control for time-invariant confounders using time-invariant latent factor(s). These models vary in terms of the type of time-invariant confounders that are controlled as well whether the model assumes simple or complex individual trajectories over time. Based on the comparisons, we made some practical suggestions for researchers to select a model. We close the discussion by noting that those models that directly incorporate unmeasured time-invariant confounders rest on some critical and often unrealistic assumptions, providing a caution to over-trust causal estimates.

Vocational interests predict major life outcomes such as job performance, college major choice, and life goals. It is therefore important to gain a better understanding of their development during the crucial years of late childhood and early adolescence, when trait-like interests are starting to develop. The present study investigated the development of vocational interests in a longitudinal sample, comprising N = 3,876 participants—assessed at four time points from ages 11 to 14. Stability, state-trait variance components, mean-level development, and gender differences in mean-levels of Realistic, Investigative, Artistic, Social, Enterprising, and Conventional (RIASEC) dimensions were examined. Stabilities were moderate for all dimensions, but Realistic, Investigative, Social, and Conventional interests became more stable over time. For Realistic, Artistic, Social, and Conventional interests, the trait variance increased over time. At age 14, all dimensions had substantial trait variance components. The mean-levels of Realistic, Investigative, Artistic, and Conventional interests decreased over the 3 years (–0.44 <  d < –0.24). Initial gender differences—with girls having higher Artistic and Social interests and boys having higher Realistic and Investigative interests—increased over time. By investigating the development of vocational interests in late childhood and early adolescence, we complement previous findings and provide first insights about state-trait proportions in early adolescence.

Zusammenfassung. Theoretischer Hintergrund: Trainingsprogramme zur Emotionsregulation für Jugendliche sind notwendig, da eine Dysregulation der Emotionen die Entwicklung von psychischen Störungen begünstigen kann. Fragestellung: Ziel dieser systematischen Literaturübersicht ist es, einen Überblick über aktuelle Publikationen zu Trainingsprogrammen von 2015 – 2020 zu geben. Methode: Im Rahmen der Literaturrecherche konnten sechs Publikationen eingeschlossen werden. Ergebnisse: Es zeigten sich positive Effekte bei der Programmdurchführung durch externe Personen, vor allem durch Fachpersonen und keine bis negative Effekte bei der Durchführung durch das Schulpersonal. Ein positiver Einfluss durch die Einbeziehung der Eltern konnte in einem Trainingsprogramm vermutet werden, wobei die Ergebnisse statistisch nicht signifikant waren. Schlussfolgerung: Es zeigt sich die Notwendigkeit weiterer Evaluation von Trainingsprogrammen, welche sich vor allem auch mit dem Einbezug der Bezugspersonen beschäftigen und untersuchen, inwiefern Trainer_inneneffekte auch bei Studien mit einer besseren Vergleichbarkeit vorliegen.

Vocational interests predict major life outcomes such as job performance, college major choice, and life goals. It is therefore important to gain a better understanding of their development during the crucial years of late childhood and early adolescence, when trait-like interests are starting to develop. The present study investigated the development of vocational interests in a longitudinal sample, comprising N = 3,876 participants—assessed at four time points from ages 11 to 14. Stability, state-trait variance components, mean-level development, and gender differences in mean-levels of Holland’s (1997) RIASEC dimensions were examined. Stabilities were moderate for all dimensions, but Realistic, Investigative, Social, and Conventional interests became more stable over time. For Realistic, Artistic, Social, and Conventional interests, the trait variance increased over time. At age 14, all dimensions had substantial trait variance components. The mean-levels of Realistic, Investigative, Artistic, and Conventional interests decreased over the 3 years (-0.44 &lt; d &lt; -0.24). Initial gender differences—with girls having higher Artistic and Social interests and boys having higher Realistic and Investigative interests—increased over time. By investigating the development of vocational interests in late childhood and early adolescence, we complement previous findings and provide first insights about state-trait proportions in early adolescence.