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Published Online:https://doi.org/10.1026/0012-1924/a000023

Zusammenfassung. Die vorliegenden Studien dienten der psychometrischen Überprüfung einer Skala zur Erfassung subjektiver schulbezogener Werte (SESSW). Der Fragebogen erfasst die drei subjektiven Wertekomponenten des Eccles-Modells persönliche Wichtigkeit, Nutzen und intrinsische Wertzuschreibung bezogen auf die Schule im Allgemeinen und fächerspezifisch für Mathematik, Deutsch, Physik und Chemie. Anhand einer Analysestichprobe von N = 391 Schülern/innen der gymnasialen Oberstufe konnten die postulierten Subskalen und die postulierte schulfachspezifische Struktur des Instrumentes bestätigt werden. Die psychometrischen Kennwerte des Instrumentes waren durchgehend gut, Beziehungen zu korrespondierenden Schulnoten und den entsprechenden Fähigkeitsselbstkonzepten belegten die konvergente und divergente Validität des Verfahrens. Als weiterer Validitätshinweis gelten die vorgefundenen fachspezifischen Geschlechtsunterschiede. Darüber hinaus weisen die Ergebnisse einer zweiten Studie mit N = 243 Schülern/innen auf die Bedeutsamkeit von Werten bei der Vorhersage von Kurswahlen in den fokussierten Fächern hin.


Construction and first validation of a scale assessing subjective educational task values

Abstract. The two studies presented here were aimed at investigating the psychometric properties of a new scale assessing subjective task values in a school context (Skala zur Erfassung subjektiver schulbezogener Werte, SESSW). The instrument measures the three subjective task value components importance, utility, and intrinsic values, derived from the Eccles model, with regard to school in general and to the four specific school subjects mathematics, German, physics, and chemistry. The first study investigated a sample of N = 391 11th to 13th graders. The three subjective value components as well as the domain-specific structure of the instrument were demonstrated. Psychometric properties of the scales were good. Correlation patterns with corresponding school grades and ability self-concepts confirmed the convergent and discriminant validity of the instrument. Further validity aspects of the scales were shown by domain-specific gender differences. Moreover, results of the second study, investigating N = 243 11th graders, demonstrated the importance of subjective task values for predicting course choices.

Literatur

  • Atwater, M. M. , Wiggins, J. , Gardner, C. M. (1995). A study of urban middle school students with high and low attitudes toward science. Journal of Research in Science Teaching, 32, 665–677. First citation in articleCrossrefGoogle Scholar

  • Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84, 191–215. First citation in articleCrossrefGoogle Scholar

  • Beauducel, A. , Wittmann, W. W. (2005). Simulation study on fit indexes in CFA based on data with slightly distorted simple structure. Structural Equation Modeling, 12, 41–75. First citation in articleCrossrefGoogle Scholar

  • Benbow, C. P. (1988). Sex differences in mathematical reasoning ability in intellectually talented preadolescents: Their nature, effects, and possible causes. Behavioral and Brain Sciences, 11, 169–232. First citation in articleCrossrefGoogle Scholar

  • Benbow, C. P. , Minor, L. L. (1986). Mathematically talented males and females and achievement in the high school sciences. American Educational Research Journal, 23, 425–436. First citation in articleCrossrefGoogle Scholar

  • Bühner, M. (2006). Einführung in die Test- und Fragebogenkonstruktion. München: Pearson Studium. First citation in articleGoogle Scholar

  • Crombie, G. , Sinclair, N. , Silverthorn, N. , Byrne, B. M. , DuBois, D. L. & Trinneer, A. (2005). Predictors of young adolescents’ math grades and course enrollment intentions: Gender similarities and differences. Sex Roles, 52, 351–367. First citation in articleCrossrefGoogle Scholar

  • Deci, E. L. , Ryan, R. M. (1987). The support of autonomy and the control of behavior. Journal of Personality and Social Psychology, 53, 1024–1037. First citation in articleCrossrefGoogle Scholar

  • Deci, E. L. , Ryan, R. M. (2008). Intrinsic Motivation Inventory (IMI). 21. Nov., 2009, Internet: www.psych.rochester.edu/SDT/measures/intrins.html. First citation in articleGoogle Scholar

  • Durik, A. M. , Vida, M. , Eccles, J. S. (2006). Task values and ability beliefs as predictors of high school literacy choices: A developmental analysis. Journal of Educational Psychology, 98, 382–393. First citation in articleCrossrefGoogle Scholar

  • Eccles, J. S. , Harold, R. D. (1991). Gender differences in sport involvement: Applying the Eccles’ expectancy-value model. Journal of Applied Sport Psychology, 3, 7–35. First citation in articleCrossrefGoogle Scholar

  • Eccles, J. S. , Wigfield, A. (1995). In the mind of the actor: The structure of adolescents’ achievement task values and expectancy-related beliefs. Personality and Social Psychology Bulletin, 21, 215–225. First citation in articleCrossrefGoogle Scholar

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

  • Eccles, J. S. (1994). Understanding women’s educational and occupational choices: Applying the Eccles et al. model of achievement-related choices. Psychology of Women Quarterly, 18, 585–609. First citation in articleCrossrefGoogle 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, NY: Guilford Publications. First citation in articleGoogle Scholar

  • Eccles, J. S. , Adler, T. , Meece, J. L. (1984). Sex differences in achievement: A test of alternate theories. Journal of Personality and Social Psychology, 46, 26–43. First citation in articleCrossrefGoogle Scholar

  • Eccles, J. S. , 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 motives (pp. 75–146). San Francisco: Freeman. First citation in articleGoogle Scholar

  • Eccles, J. S. , Wigfield, A. , Schiefele, U. (1998). Motivation to succeed. In N. Eisenberg (Ed.), Handbook of child psychology, 5th ed.: Vol 3. Social, emotional, and personality development (pp. 1017–1095). Hoboken, NJ: Wiley. First citation in articleGoogle Scholar

  • Eccles, J. S. , Wigfield, A. , Harold, R. D. , Blumenfeld, P. (1993). Age and gender differences in children’s self- and task perceptions during elementary school. Child Development, 64, 830–847. First citation in articleCrossrefGoogle Scholar

  • Feather, N. T. (1988). Values, valences, and course enrolment: Testing the role of personal values within an expectancy-valence framework. Journal of Educational Psychology, 80, 381–391. First citation in articleCrossrefGoogle Scholar

  • Hoffmann, L. , Häussler, P. , Peters-Haft, S. (1997). An den Interessen von Mädchen und Jungen orientierter Physikunterricht, IPN-Schriftenreihe (Bd. 155, S. 321). Kiel: IPN. First citation in articleGoogle Scholar

  • Hoffmann, L. , Häussler, P. , Lehrke, M. , Todt, E. (1998). Schülerfragebogen zur Veränderung von Schülerinteressen an Physik und Technik vom 5. bis 10. Schuljahr. In L. Hoffman, P. Häussler, M. Lehrke (Hrsg.), Die IPN-Interessenstudie Physik. IPN-Schriftenreihe (Bd. 158, S. 164–224). Kiel: IPN. First citation in articleGoogle Scholar

  • Jacobs, J. E. , Lanza, S. , Osgood, D. W. , Eccles, J. S. & Wigfield, A. (2002). Changes in children’s self-competence and values: Gender and domain differences across grades one through twelve. Child Development, 73, 509–527. First citation in articleCrossrefGoogle Scholar

  • Johnson, J. W. (2000). A heuristic method for estimating the relative weight of predictor variables in multiple regression. Multivariate Behavioral Research, 35, 1–19. First citation in articleCrossrefGoogle Scholar

  • Kessels, U. , Rau, M. , Hannover, B. (2006). What goes well with physics? Measuring and altering the image of science. British Journal of Educational Psychology, 76, 761–780. First citation in articleCrossrefGoogle Scholar

  • Köller, O. , Daniels, Z. , Schnabel, K. U. , Baumert, J. (2000). Kurswahlen von Mädchen und Jungen im Fach Mathematik: Zur Rolle von fachspezifischem Selbstkonzept und Interesse. Zeitschrift für Pädagogische Psychologie, 14, 26–37. First citation in articleLinkGoogle Scholar

  • Köller, O. , Trautwein, U. , Lüdtke, O. , Baumert, J. (2006). Zum Zusammenspiel von schulischer Leistung, Selbstkonzept und Interesse in der gymnasialen Oberstufe. Zeitschrift für Pädagogische Psychologie, 20, 27–39. First citation in articleLinkGoogle Scholar

  • Krapp, A. (1992). Das Interessenkonstrukt – Bestimmungsmerkmale der Interessenhandlung und des individuellen Interesses aus der Sicht einer Person-Gegenstandskonzeption. In A. Krapp, M. Prenzel (Hrsg.), Interesse, Lernen, Leistung. Neuere Ansätze der pädagogisch-psychologischen Interessensforschung (S. 297–329). Münster: Aschendorf. First citation in articleGoogle Scholar

  • Kunter, M. , Schümer, G. , Artelt, C. , Baumert, J. , Klieme, E. , Neubrand, M. et al. (2002). Pisa 2000: Dokumentation der Erhebungsinstrumente. Berlin: MPI für Bildungsforschung. First citation in articleGoogle Scholar

  • LeBreton, J. M. , Hargis, M. B. , Griepentrog, B. , Oswald, F. L. , Ployhart, R. E. (2007). A multidimensional approach for evaluating variables in organizational research and practice. Personnel Psychology, 60, 475–498. First citation in articleCrossrefGoogle Scholar

  • Meece, J. L. , Wigfield, A. , Eccles, J. S. (1990). Predictors of math anxiety and its influence on young adolescents’ course enrollment intentions and performance in mathematics. Journal of Educational Psychology, 82, 60–70. First citation in articleCrossrefGoogle Scholar

  • Möller, J. , Köller, O. (2004). Die Genese akademischer Selbstkonzepte: Effekte dimensionaler und sozialer Vergleiche. Psychologische Rundschau, 55, 19–27. First citation in articleLinkGoogle Scholar

  • Nagy, G. , Garrett, J. , Trautwein, U. , Cortina, K. S. , Baumert, J. , Eccles, J. S. (2008). Gendered high school course selection as a precursor of gendered careers: The mediating role of self-concept and intrinsic value. In H. M. G. Watt, J. S. Eccles (Eds.), Gender and occupational outcomes: Longitudinal assessments of individual, social, and cultural influences (pp. 115–143). Washington, DC US: American Psychological Association. First citation in articleGoogle Scholar

  • Nagy, G. , Trautwein, U. , Baumert, J. , Köller, O. , Garrett, J. (2006). Gender and course selection in upper secondary education: Effects of academic self-concept and intrinsic value. Educational Research and Evaluation, 12, 323–345. First citation in articleCrossrefGoogle Scholar

  • Rost, D. H. , Sparfeldt, J. R. (2002). Facetten des schulischen Selbstkonzepts – Ein Verfahren zur Messung des differentiellen Selbstkonzepts schulischer Leistungen und Fähigkeiten (DISK-Gitter). Diagnostica, 48, 130–140. First citation in articleLinkGoogle Scholar

  • Rost, D. H. (2007). Interpretation und Bewertung pädagogisch-psychologischer Studien. Weinheim: Beltz. First citation in articleGoogle Scholar

  • Rost, D. H. , Sparfeldt, J. R. , Schilling, S. R. (2007). DISK-Gitter mit SKSLF-8. Göttingen: Hogrefe. First citation in articleGoogle Scholar

  • Ryan, R. M. (1982). Control and information in the intrapersonal sphere: An extension of cognitive evaluation theory. Journal of Personality and Social Psychology, 43, 450–461. First citation in articleCrossrefGoogle Scholar

  • Schiefele, U. (1996). Motivation und Lernen mit Texten. Göttingen: Hogrefe. First citation in articleGoogle Scholar

  • Schiefele, U. , Krapp, A. , Schreyer, I. (1993). Metaanalyse des Zusammenhangs von Interesse und schulischer. Zeitschrift für Entwicklungspsychologie und Pädagogische Psychologie, 25, 120–148. First citation in articleGoogle Scholar

  • Schilling, S. R. , Sparfeldt, J. R. , Rost, D. H. & Nickels, G. (2005). Schulische Selbstkonzepte – Zur Validität einer erweiterten Version des Differentiellen Selbstkonzept Gitters (DISK-Gitter). Diagnostica, 51, 21–28. First citation in articleLinkGoogle Scholar

  • Schöne, C. , Dickhäuser, O. , Spinath, B. , Stiensmeier-Pelster, J. (2002). Die Skalen zur Erfassung des schulischen Selbstkonzepts (SESSKO). Göttingen: Hogrefe. First citation in articleGoogle Scholar

  • Schnirch, A. , Welzel, M. (2006). Neue Medien im Schulalltag – ein Versuch, eine gendersensitive computerunterstützte Lernumgebung für den Physikunterricht zu konzipieren. In A. Treibel, M. Maier, S. Kommer, M. Welzel (Hrsg.), Gender medienkompetent. Medienbildung in einer heterogenen Gesellschaft (S. 125–140). Wiesbaden: Verlag für Sozialwissenschaften. First citation in articleGoogle Scholar

  • Shavelson, R. J. , Hubner, J. J. , Stanton, G. C. (1976). Self-concept: Validation of construct interpretations. Review of Educational Research, 46, 407–441. First citation in articleCrossrefGoogle Scholar

  • Simpkins, S. D. , Davis-Kean, P. E. , Eccles, J. S. (2006). Math and science motivation: A longitudinal examination of the links between choices and beliefs. Developmental Psychology, 42, 70–83. First citation in articleCrossrefGoogle Scholar

  • Steinmayr, R. , Spinath, B. (2007). Predicting school achievement from motivation and personality. Zeitschrift für Pädagogische Psychologie, 21, 207–216. First citation in articleLinkGoogle Scholar

  • Steinmayr, R. , Spinath, B. (2008). Sex differences in school achievement: What are the roles of personality and achievement motivation? European Journal of Personality, 22, 185–209. First citation in articleCrossrefGoogle Scholar

  • Steinmayr, R. , Spinath, B. (2009). The importance of motivation as a predictor of school achievement. Learning and Individual Differences, 19, 80–90. First citation in articleCrossrefGoogle Scholar

  • Trautwein, U. , Lüdtke, O. (2007). Students’ self-reported effort and fine on homework in six school subjects: Between-students differences and within-student variation. Journal of Educational Psychology, 99, 432–444. First citation in articleCrossrefGoogle Scholar

  • Trautwein, U. , Lüdtke, O. , Schnyder, I. , Niggli, A. (2006). Predicting homework effort: Support for a domain-specific, multilevel homework model. Journal of Educational Psychology, 98, 438–456. First citation in articleCrossrefGoogle Scholar

  • Updegraff, K. A. , Eccles, J. S. , Barber, B. L. , O’Brien, K. M. (1996).Course enrolment as self-regulatory behaviour: Who takes optional high school math courses? Learning and Individual Differences, 8, 239–259. 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

  • Wigfield, A. , Eccles, J. S. (1989). Test anxiety in elementary and secondary school students. Educational Psychologist, 24, 159–183. First citation in articleCrossrefGoogle Scholar

  • Wigfield, A. , Eccles, J. S. ( 1992). The development of achievement task values: A theoretical analysis. Development Review, 12 (3), 265–310. First citation in articleCrossrefGoogle Scholar

  • Wigfield, A. , Eccles, J. S. , Mac Iver, D. , Reuman, D. A. , Midgley, C. (1991). Transitions during early adolescence: Changes in children’s domain-specific self-perceptions and general self-esteem across the transition to junior high school. Developmental Psychology, 27, 552–565. First citation in articleCrossrefGoogle Scholar

  • Wigfield, A. , Eccles, J. S. , Schiefele, U. , Roeser, R. W. , Davis-Kean, P. , Eisenberg, N. , et al. (2006). Development of Achievement Motivation. In Handbook of child psychology: Vol. 3, Social, emotional, and personality development (6th ed.). (pp. 933–1002). Hoboken, NJ, US: John Wiley & Sons Inc. First citation in articleGoogle Scholar

  • Wilde, M. , Bätz, K. , Kovaleva, A. , Urhahne, D. (2009). Überprüfung einer Kurzskala intrinsischer Motivation (KIM). Zeitschrift für Didaktik der Naturwissenschaften, 15, 31–45. First citation in articleGoogle Scholar