It takes two: Expectancy-value constructs and vocational interests jointly predict STEM major choices E Wille, G Stoll, T Gfrörer, J Cambria, B Nagengast, U Trautwein Contemporary Educational Psychology 61, 101858, 2020 | 68 | 2020 |
Thinking clearly about time-invariant confounders in cross-lagged panel models: A guide for choosing a statistical model from a causal inference perspective. K Murayama, T Gfrörer Psychological Methods, 2024 | 24 | 2024 |
The development of vocational interests in early adolescence: stability, change, and state-trait components T Gfrörer, G Stoll, S Rieger, U Trautwein, B Nagengast European Journal of Personality, 08902070211035630, 2021 | 18 | 2021 |
Screening smarter, not harder: A comparative analysis of machine learning screening algorithms and heuristic stopping criteria for systematic reviews in educational research DG Campos, T Fütterer, T Gfrörer, R Lavelle-Hill, K Murayama, L König, ... Educational Psychology Review 36 (1), 19, 2024 | 17 | 2024 |
Long-term mental health consequences of female-versus male-perpetrated child sexual abuse J Gerke, T Gfrörer, FK Mattstedt, U Hoffmann, JM Fegert, M Rassenhofer Child Abuse & Neglect 143, 106240, 2023 | 12 | 2023 |
Thinking clearly about time-invariant confounders in cross-lagged panel models: A guide for model choice from causal inference perspective K Murayama, T Gfrörer PsyArXiv, 2022 | 10 | 2022 |
Vocational Interest Development in Adolescence—Integrating Insights about Normative Change, Stability, and Influencing Factors T Gfrörer Universität Tübingen, 2021 | 1 | 2021 |
Schulbasiertes Training für Jugendliche zur Emotionsregulation N Merkle, J Ullrich, T Gfrörer, RC Brown Kindheit und Entwicklung, 2021 | 1 | 2021 |
The effects of unstructured out-of-school engagement in science on adolescents’ vocational interests, occupational aspirations, competencies, school grades, and ability self … T Gfrörer, G Stoll, S Rieger, B Nagengast Journal of Educational Psychology 116 (5), 742, 2024 | | 2024 |
Screening Smarter, Not Harder: A Comparative Analysis of Machine Learning Screening Algorithms and Heuristic Stopping Criteria for Systematic Reviews in Educational Research DG Campos, T Fütterer, T Gfrörer, RE Lavelle-Hill, K Murayama, L König, ... PsyArXiv, 2023 | | 2023 |
Thinking clearly about time-invariant confounders in cross-lagged panel models: A guide for model choice from causal inference perspective K Murayama, T Gfrörer PsyArXiv, 2022 | | 2022 |