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Originalartikel

Wer kommt weiter? Vorhersage der Qualifikation zur Internationalen Biologie- und Chemie-Olympiade auf Grundlage des Leistungsmotivations-Modells von Eccles

Published Online:https://doi.org/10.1024/1010-0652/a000127

Das Erwartungs-Wert-Modell der Leistungsmotivation von Eccles et al. (1983) wurde eingesetzt, um die Qualifikation von deutschen Teilnehmenden zur 4. Auswahlrunde der Internationalen Biologie- und Chemie-Olympiade (IBO/IChO) vorherzusagen. Konkret sollten die prädiktive Stärke des Eccles-Modells getestet und qualifikationsförderliche Faktoren gefunden werden. Die Teilnehmenden (nIBO = 43, 20 weiblich; nIChO = 44, 11 weiblich) füllten einen Fragebogen zur Messung der Modellvariablen aus und nahmen an einer Intelligenztestung teil. Zur Qualifikation für die vierte Runde absolvierten sie verschiedene fachspezifische Prüfungen. Insgesamt eignete sich das Eccles-Modell gut zur Qualifikationsvorhersage. IChO-Teilnehmende mit einer höheren Erfolgserwartung und IBO-Teilnehmende mit mehr erlebter Langeweile im Schulunterricht qualifizierten sich eher für die vierte Runde. Proximale Modellvariablen erwiesen sich als bessere Prädiktoren als distale Variablen. Die Implikationen der Forschungsergebnisse werden diskutiert.


Who gets further? Prediction of the Qualification for the International Biology and Chemistry Olympiad on the Basis of the Achievement Motivation Model of Eccles

The expectancy-value model of achievement motivation by Eccles et al. (1983) was used to predict the qualification of German participants for the fourth selection round of the International Biology and Chemistry Olympiad (IBO/IChO). The main focus lies on the predictive strength of the model which should be tested and factors easing qualification should be proved. The participants (nIBO = 43, 20 female; nIChO = 44, 11 female) completed a questionnaire and participated in an intelligence test to measure the model variables. To qualify for the fourth round they had to pass several subject-specific exams. Overall, the model was well suited to predict qualification. IChO-participants with a higher expectancy of success and IBO-participants with more boredom in school were more likely to qualify for the fourth round. Proximal model variables were better predictors of qualification than distal variables. The implications of the research findings are discussed.

Literatur

  • Asendorpf, J. B. , Conner, M. , De Fruyt, F. , De Houwer, J. , Denissen, J. J. A. , Fiedler, K. et al. (2013). Recommendations for increasing replicability in psychology. European Journal of Personality , 27, 108–119. First citation in articleGoogle Scholar

  • Berger, J. L. , Karabenick, S. A. (2011). Motivation and students’ use of learning strategies: Evidence of unidirectional effects in mathematics classrooms. Learning and Instruction , 21, 416–428. First citation in articleCrossrefGoogle Scholar

  • Campbell, J. R. (1996). Early identification of mathematics talent has long-term positive consequences for career contributions. International Journal of Educational Research , 25, 497–522. First citation in articleCrossrefGoogle Scholar

  • Campbell, J. R. , Feng, A. X. (2010). Comparing adult productivity of American mathematics, chemistry, and physics Olympians with Terman’s longitudinal study. Roeper Review , 33, 18–25. First citation in articleCrossrefGoogle Scholar

  • Campbell, J. R. , Walberg, H. J. (2010). Olympiad studies: Competitions provide alternatives to developing talents that serve national interests. Roeper Review , 33, 8–17. First citation in articleCrossrefGoogle Scholar

  • Eccles (Parsons), J. , Adler, T. F. , Futterman, R. , Goff, S. B. , Kaczala, C. M. , Meece, J. L. et al. (1983). Expectancies, values, and academic behaviors. In J. T. Spence (Ed.), Achievement and achievement motivation (pp. 75–146). San Francisco: Freeman. First citation in articleGoogle Scholar

  • Eccles, J. S. (2005). Subjective task value and the Eccles et al. model of achievement-related choices. In A. J. Elliot & C. S. Dweck (Eds.), Handbook of competence and motivation (pp. 105–121). New York: Guilford. First citation in articleGoogle Scholar

  • Eccles, J. S. (2007). Families, schools, and developing achievement-related motivations and engagement. In J. E. Grusec & P. D. Hastings (Eds.), Handbook of socialization: Theory and research (pp. 665–691). New York: Guilford. First citation in articleGoogle Scholar

  • Eccles, J. S. , Harold, R. D. (1992). Gender differences in educational and occupational patterns among the gifted. In N. Colangelo, S. G. Assouline, & D. L. Amronson (Eds.), Talent development: Proceedings from the 1991 Henry B. and Jocelyn Wallace National Research Symposium on talent development (pp. 3–29). Unionville: Trillium. First citation in articleGoogle Scholar

  • Eccles, J. S. , Wigfield, A. (2002). Motivational beliefs, values, and goals. Annual Review of Psychology , 53, 109–132. First citation in articleCrossrefGoogle Scholar

  • Götz, T. , Frenzel, A. C. (2010). Über- und Unterforderungslangeweile im Mathematikunterricht. Empirische Pädagogik , 24, 113–134. First citation in articleGoogle Scholar

  • Heller, K. A. , Perleth, C. (2000). Kognitiver Fähigkeitstest für 4.–12. Klassen, Revision (KFT 4–12+R). Göttingen: Hogrefe. First citation in articleGoogle Scholar

  • Helmke, A. (1992). Selbstvertrauen und schulische Leistungen . Göttingen: Hogrefe. First citation in articleGoogle Scholar

  • Kuhn, J.-T. , Holling, H. , Freund, P. A. (2008). Begabungsdiagnostik mit dem Grundintelligenztest (CFT 20-R): Psychometrische Eigenschaften und Messäquivalenz. Diagnostica , 54, 184–192. First citation in articleLinkGoogle Scholar

  • Lang, J. W. B. , Fries, S. (2006). A revised 10-item version of the Achievement Motives Scale – Psychometric properties in German-speaking samples. European Journal of Psychological Assessment , 22, 216–224. First citation in articleLinkGoogle Scholar

  • Larson, R. W. , Richards, M. H. (1991). Boredom in the middle school years: Blaming schools versus blaming students. American Journal of Education , 99, 418–443. First citation in articleCrossrefGoogle Scholar

  • Lengfelder, A. , Heller, K. A. (2002). German Olympiad studies: Findings from a retrospective evaluation and from in-depth interviews. Where have all the gifted females gone? Journal of Research in Education , 12, 86–92. First citation in articleGoogle Scholar

  • Mischel, W. , Shoda, Y. , Rodriguez, M. L. (1989). Delay of gratification in children. Science , 244, 933–938. First citation in articleCrossrefGoogle Scholar

  • PISA-Konsortium Deutschland (Hrsg.). (2006). PISA 2003. Dokumentation der Erhebungsinstrumente. Münster: Waxmann. First citation in articleGoogle Scholar

  • Poropat, A. E. (2009). A meta-analysis of the five-factor model of personality and academic performance. Psychological Bulletin , 135, 322–338. First citation in articleCrossrefGoogle Scholar

  • Rindermann, H. (2011). Results in the International Mathematical Olympiad (IMO) as indicators of the intellectual classes’ cognitive-ability level. In A. Ziegler & C. Perleth (Eds.), Excellence. Essays in honour of Kurt A. Heller (pp. 303–321). Münster: Lit. First citation in articleGoogle Scholar

  • Rost, D. H. , Buch, S. R. (2010). Hochbegabung. In D. H. Rost (Hrsg.), Handwörterbuch Pädagogische Psychologie (4. Aufl., S. 257–273). Weinheim: Beltz. First citation in articleGoogle Scholar

  • Saucier, G. (1994). Mini-markers: A brief version of Goldberg’s unipolar Big-Five markers. Journal of Personality Assessment , 63, 506–516. First citation in articleCrossrefGoogle Scholar

  • Schendera, C. F. G. (2007). Datenqualität mit SPSS. München: Oldenbourg. First citation in articleCrossrefGoogle Scholar

  • Schiefele, U. , Krapp, A. , Schreyer, I. (1993). Metaanalyse des Zusammenhangs von Interesse und schulischer Leistung. Zeitschrift für Entwicklungspsychologie und Pädagogische Psychologie , 10, 120–148. First citation in articleGoogle Scholar

  • Schneider, W. , Stumpf, E. (2007). Hochbegabung, Expertise und die Erklärung außergewöhnlicher Leistungen. In K. A. Heller & A. Ziegler (Hrsg.), Begabt sein in Deutschland (S. 71–91). Münster: Lit. First citation in articleGoogle Scholar

  • Schunk, D. H. , Pintrich, P. R. , Meece, J. L. (2008). Motivation in education: Theory, research, and applications. Upper Saddle River, NJ: Pearson. First citation in articleGoogle Scholar

  • Sparfeldt, J. R. , Rost, D. H. (2011). Content-specific achievement motives. Personality and Individual Differences , 50, 496–501. First citation in articleCrossrefGoogle Scholar

  • Tirri, K. (2000, April). Finland Olympiad studies: What factors contribute to the development of academic talent in Finland? Paper presented at the Annual Meeting of the American Educational Research Association. New Orleans, LA. First citation in articleGoogle Scholar

  • Tirri, K. , Campbell, J. R. (2002). Actualizing mathematical giftedness in adulthood. Educating Able Children , 6, 14–20. First citation in articleGoogle Scholar

  • Urhahne, D. , Ho, L. H. , Parchmann, I. , Nick, S. (2012). Attempting to predict success in the qualifying round of the International Chemistry Olympiad. High Ability Studies , 23, 167–182. First citation in articleCrossrefGoogle Scholar

  • Verna, M. A. , Feng, A. X. (2002). American Chemistry Olympians achieve the highest level of equity. Journal of Research in Education , 12, 101–105. First citation in articleGoogle Scholar

  • Weiß, R. H. (2006). Grundintelligenztest Skala 2 – Revision (CFT 20-R). Göttingen: Hogrefe. First citation in articleGoogle Scholar

  • Weller, I. , Matiaske, W. (2009). Persönlichkeit und Personalforschung. Vorstellung einer Kurzskala zur Messung der «Big Five». Zeitschrift für Personalforschung , 23, 258–266. First citation in articleGoogle Scholar

  • Wigfield, A. , Eccles, J. S. (1992). The development of achievement task values: A theoretical analysis. Developmental Review , 12, 265–310. First citation in articleCrossrefGoogle Scholar

  • Wigfield, A. , Eccles, J. S. (2000). Expectancy-value theory of achievement motivation. Contemporary Educational Psychology , 25, 68–81. First citation in articleCrossrefGoogle Scholar