Abstract
School success is closely linked to intelligence but also to non-cognitive factors such as achievement motivation. The present study examines which non-cognitive factors predict secondary school grades and looks at reasons why female students tend to outperform their male counterparts. A sample of 554 German freshman students provided measures of general intelligence, achievement motivation, science course choice, self-efficacy, self-perceived academic achievement, and test anxiety. Results show that achievement motivation, self-perceived academic achievement, and sex significantly contribute to the final secondary school success above intelligence. Females’ advantage in final secondary school grades becomes even larger after controlling for general intelligence. This advantage can be explained by females’ higher achievement motivation. Showing more compensatory effort as well as self-control and taking more pride in their own productivity helps females to outperform their male counterparts at secondary school.
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References
Barrick, M. R., Mount, M. K., & Judge, T. A. (2001). Personality and performance at the beginning of the new millennium: what do we know and where do we go next? International Journal of Selection and Assessment, 9(1–2), 9–30.
Blakemore, J. E. O., Berenbaum, S. A., & Liben, L. S. (2009). Gender development. New York: Psychology Press.
Calvin, C. M., Fernandes, C., Smith, P., Visscher, P. M., & Deary, I. J. (2010). Sex, intelligence and educational achievement in a national cohort of over 175,000 11-year-old schoolchildren in England. Intelligence, 38(4), 424–432.
Chamorro-Premuzic, T., Harlaar, N., Greven, C. U., & Plomin, R. (2010). More than just IQ: a longitudinal examination of self-perceived abilities as predictors of academic performance in a large sample of UK twins. Intelligence, 38(4), 385–392.
Chemers, M. M., Hu, L., & Garcia, B. F. (2001). Academic self-efficacy and first year college student performance and adjustment. Journal of Education and Psychology, 93, 55–64.
Colom, R., & Lynn, R. (2004). Testing the developmental theory of sex differences in intelligence on 12–18 year olds. Personality and Individual Differences, 36(1), 75–82.
Costa, P. T., Jr., & McCrae, R. R. (1998). Six approaches to the explication of facet-level traits: examples from conscientiousness. European Journal of Personality, 12(2), 117–134.
Cronbach, L. J. (1949). Essentials of psychological testing. Oxford: Harper.
Day, L., Hanson, K., Maltby, J., Proctor, C., & Wood, A. (2010). Hope uniquely predicts objective academic achievement above intelligence, personality, and previous academic achievement. Journal of Research in Personality, 44(4), 550–553.
De Fruyt, F., Van Leeuwen, K., De Bolle, M., & De Clercq, B. (2008). Sex differences in school performance as a function of conscientiousness, imagination and the mediating role of problem behaviour. European Journal of Personality, 22(3), 167–184.
De Raad, B., & Schouwenburg, H. C. (1996). Personality in learning and education: a review. European Journal of Personality, 10(5), 303–336.
Deary, I. J., Strand, S., Smith, P., & Fernandes, C. (2007). Intelligence and educational achievement. Intelligence, 35(1), 13–21.
Downey, D. B., & Vogt Yuan, A. S. (2005). Sex differences in school performance during high school: puzzling patterns and possible explanations. The Sociological Quarterly, 46(2), 299–321.
Duckworth, A. L., & Seligman, M. E. P. (2005). Self-discipline outdoes IQ in predicting academic performance of adolescents. Psychological Science, 16(12), 939–944.
Duckworth, A. L., & Seligman, M. E. P. (2006). Self-discipline gives girls the edge: gender in self-discipline, grades, and achievement test scores. Journal of Education and Psychology, 98(1), 198–208.
Eccles, J. S., & Wigfield, A. (2002). Motivational beliefs, values, and goals. Annual Review of Psychology, 53(1), 109–132.
Elliott, R., & Strenta, A. C. (1988). Effects of improving the reliability of the GPA on prediction generally and on comparative predictions for gender and race particularly. Journal of Educational Measurement, 25(4), 333–347.
Ellis, L., Hershberger, S., Field, E., Wersinger, S., Pellis, S., Geary, D., et al. (2008). Sex differences: summarizing more than a century of scientific research. New York: Psychology Press.
Feingold, A. (1994). Gender differences in personality: a meta-analysis. Psychological Bulletin, 116(3), 429–456.
Freudenthaler, H. H., Spinath, B., & Neubauer, A. C. (2008). Predicting school achievement in boys and girls. European Journal of Personality, 22(3), 231–245.
Frey, M. C., & Detterman, D. K. (2004). Scholastic assessment or g? The relationship between the scholastic assessment test and general cognitive ability. Psychological Science, 15(6), 373–378.
Furnham, A., & Monsen, J. (2009). Personality traits and intelligence predict academic school grades. Learning and Individual Differences, 19(1), 28–33.
Furnham, A., Monsen, J., & Ahmetoglu, G. (2009). Typical intellectual engagement: big five personality traits, approaches to learning and cognitive ability predictors of academic performance. The British Journal of Educational Psychology, 79(4), 769–782.
Gavin, M. K., & Reis, S. M. (2005). Helping teachers to encourage talented girls in mathematics. In S. K. Johnsen & J. Kendrick (Eds.), Teaching and counseling gifted girls (pp. 147–167). Waco: Prufrock Press.
Gottfredson, L. S. (2003). G, jobs and life. In H. Nyborg (Ed.), The scientific study of general intelligence: tribute to Arthur R. Jensen (1st ed., pp. 293–342). Elsevier: Oxford.
Grigorenko, E. L., Jarvin, L., Diffley, R., III, Goodyear, J., Shanahan, E. J., & Sternberg, R. J. (2009). Are SSATS and GPA enough? A theory-based approach to predicting academic success in secondary school. Journal of Education and Psychology, 101(4), 964–981.
Halpern, D. F. (2000). Sex differences in cognitive abilities (3rd ed.). Mahwah: Erlbaum.
Hannover, B., & Kessels, U. (2011). Sind Jungen die neuen Bildungsverlierer? Empirische Evidenz für Geschlechterdisparitäten zuungunsten von Jungen und Erklärungsansätze. [Are boys left behind at school? Reviewing and explaining education-related gender disparities]. Zeitschrift für Pädagogische Psychologie, 25(2), 89–103.
Heckman, J. J., & LaFontaine, P. A. (2007). The American high school graduation rate: trends and levels. (Discussion paper No. 3216). Bonn, Germany: IZA. http://ftp.iza.org/dp3216.pdf. Accessed 15 September 2011.
Hedges, L. V., & Nowell, A. (1995). Sex differences in mental test scores, variability, and numbers of high-scoring individuals. Science, 269(5220), 41–45.
Hell, B., Trapmann, S., & Schuler, H. (2007). Eine Metaanalyse der Validität von fachspezifischen Studierfähigkeitstests im deutschsprachigen Raum. [A meta-analytic investigation of subject-specific admission tests in German-speaking countries]. Empirische Pädagogik, 21(3), 251–270.
Hembree, R. (1988). Correlates, causes, effects, and treatment of test anxiety. Review of Educational Research, 58(1), 47–77.
Hewitt, B. N., & Goldman, R. D. (1975). Occam’s razor slices through the myth that college women overachieve. Journal of Education and Psychology, 67(2), 325–330.
Hinz, A., Schumacher, J., Albani, C., Schmid, G., & Brähler, E. (2006). Bevölkerungsrepräsentative Normierung der Skala zur Allgemeinen Selbstwirksamkeitserwartung. [Standardization of the General Self-Efficacy Scale in the German population]. Diagnostica, 52(1), 26–32.
Hodapp, V. (1991). Das Prüfungsängstlichkeitsinventar TAI-G: eine erweiterte und modifizierte Version mit vier Komponenten. [The Test Anxiety Inventory TAI-G: an expanded and modified version with four components]. Zeitschrift für Pädagogische Psychologie, 5(2), 121–130.
Hodapp, V., Rohrmann, S., & Ringeisen, T. (2011). Prüfungsangstfragebogen (PAF)[Test-Anxiety Questionnaire]. Göttingen: Hogrefe.
Hyde, J. S. (2005). The gender similarities hypothesis. American Psychologist, 60(6), 581–592.
Irwing, P., & Lynn, R. (2005). Sex differences in means and variability on the progressive matrices in university students: a meta-analysis. British Journal of Psychology, 96(4), 505–524.
Jackson, D. N., & Rushton, J. P. (2006). Males have greater g: sex differences in general mental ability from 100,000 17- to 18-year-olds on the scholastic assessment test. Intelligence, 34(5), 479–486.
Jensen, A. R. (1980). Bias in mental testing. New York: Free Press.
Kuncel, N. R., Hezlett, S. A., & Ones, D. S. (2004). Academic performance, career potential, creativity, and job performance: can one construct predict them all? Journal of Personality and Social Psychology, 86(1), 148–161.
Laidra, K., Pullmann, H., & Allik, J. (2007). Personality and intelligence as predictors of academic achievement: a cross-sectional study from elementary to secondary school. Personality and Individual Differences, 42(3), 441–451.
Leeson, P., Ciarrochi, J., & Heaven, P. C. L. (2008). Cognitive ability, personality, and academic performance in adolescence. Personality and Individual Differences, 45(7), 630–635.
Leonard, D. K., & Jiang, J. (1999). Gender bias and the college predictions of the SATs: a cry of despair. Research in Higher Education, 40(4), 375–407.
Lewis, J. C., & Hoover, H. D. (1987). Differential prediction of academic achievement in elementary and junior high school by sex. The Journal of Early Adolescence, 7(1), 107–115.
Liepmann, D., Beauducel, A., Brocke, B., & Amthauer, R. (2007). Intelligenz-Struktur-Test 2000 R [Intelligence-Structure-Test 2000 R] (2nd ed.). Göttingen: Hogrefe.
Lu, L., Weber, H. S., Spinath, F. M., & Shi, J. (2011). Predicting school achievement from cognitive and non-cognitive variables in a Chinese sample of elementary school children. Intelligence, 39, 130–140.
McCarthy, J. M., & Goffin, R. D. (2005). Selection test anxiety: exploring tension and fear of failure across the sexes in simulated selection scenarios. International Journal of Selection and Assessment, 13(4), 282–295.
Mouw, J. T., & Khanna, R. K. (1993). Prediction of academic success: a review of the literature and some recommendations. College Student Journal, 27(3), 328–336.
Multon, K. D., Brown, S. D., & Lent, R. W. (1991). Relation of self-efficacy beliefs to academic outcomes: a meta-analytic investigation. Journal of Counseling Psychology, 38(1), 30–38.
Neisser, U., Boodoo, G., Bouchard, T. J. J., Boykin, A. W., Brody, N., Ceci, S., et al. (1996). Intelligence: knowns and unknowns. American Psychologist, 51(2), 77–101.
Noftle, E. E., & Robins, R. W. (2007). Personality predictors of academic outcomes: big five correlates of GPA and SAT scores. Journal of Personality and Social Psychology, 93(1), 116–130.
Petrides, K. V., Chamorro-Premuzic, T., Frederickson, N., & Furnham, A. (2005). Explaining individual differences in scholastic behaviour and achievement. British Journal of Educational Psychology, 75(2), 239–255.
Poropat, A. E. (2009). A meta-analysis of the five-factor model of personality and academic performance. Psychological Bulletin, 135(2), 322–338.
Robbins, S. B., Lauver, K., Le, H., Davis, D., Langley, R., & Carlstrom, A. (2004). Do psychosocial and study skill factors predict college outcomes? A meta-analysis. Psychological Bulletin, 130(2), 261–288.
Schuler, H., & Prochaska, M. (2000). Entwicklung und Konstruktvalidierung eines berufsbezogenen Leistungsmotivationstests. [Development and construct validation of a job-related achievement motivation test]. Diagnostica, 46(2), 61–72.
Schuler, H., Prochaska, M., & Frintrup, A. (2001). Leistungsmotivationsinventar (LMI) [achievement motivation inventory]. Göttingen: Hogrefe.
Schuler, H., Thornton, G. C., III, Frintrup, A., & Mueller-Hanson, R. (2004). Achievement motivation inventory (AMI). Ashland: Hogrefe & Huber.
Schwarzer, R., & Jerusalem, M. (Eds.) (1999). Skalen zur Erfassung von Lehrer- und Schülermerkmalen: Dokumentation der psychometrischen Verfahren im Rahmen der Wissenschaftlichen Begleitung des Modellversuchs Selbstwirksame Schulen [Scales for the assessment of teacher and student characteristics]. Berlin: Freie Universität Berlin.
Seipp, B. (1991). Anxiety and academic performance: a meta-analysis of findings. Anxiety Research, 4(1), 27–41.
Shen, C., & Pedulla, J. J. (2000). The relationship between students’ achievement and their self-perception of competence and rigour of mathematics and science: a cross-national analysis. Assessment in Education: Principles, Policy & Practice, 7(2), 237–253.
Spinath, B., Spinath, F. M., Harlaar, N., & Plomin, R. (2006). Predicting school achievement from general cognitive ability, self-perceived ability, and intrinsic value. Intelligence, 34(4), 363–374.
Spinath, B., Freudenthaler, H. H., & Neubauer, A. C. (2010). Domain-specific school achievement in boys and girls as predicted by intelligence, personality and motivation. Personality and Individual Differences, 48(4), 481–486.
Spinath, F. M., Spinath, B., & Plomin, R. (2008). The nature and nurture of intelligence and motivation in the origins of sex differences in elementary school achievement. European Journal of Personality, 22(3), 211–229.
Statistisches Bundesamt (2010). Bildung und Kultur: Allgemeinbildende Schulen. (Fachserie 11 Reihe 1 No. 2110100107004). Wiesbaden: Statistisches Bundesamt. http://www.destatis.de/jetspeed/portal/cms/Sites/destatis/Internet/DE/Content/Publikationen/Fachveroeffentlichungen/BildungForschungKultur/Schulen/AllgemeinbildendeSchulen2110100107004,property=file.pdf. Accessed 15 September 2011.
Steinmayr, R., & Spinath, B. (2007). Predicting school achievement from motivation and personality. Zeitschrift für Pädagogische Psychologie, 21(3/4), 207–216.
Steinmayr, R., & Spinath, B. (2008). Sex differences in school achievement: what are the roles of personality and achievement motivation? European Journal of Personality, 22(3), 185–209.
Steinmayr, R., & Spinath, B. (2009). The importance of motivation as a predictor of school achievement. Learning and Individual Differences, 19(1), 80–90.
Steinmayr, R., Beauducel, A., & Spinath, B. (2010). Do sex differences in a faceted model of fluid and crystallized intelligence depend on the method applied? Intelligence, 38(1), 101–110.
Sternberg, R. J., Grigorenko, E. L., & Bundy, D. A. (2001). The predictive value of IQ. Merrill-Palmer Quarterly, 47(1), 1–41.
Strand, S., Deary, I. J., & Smith, P. (2006). Sex differences in cognitive abilities test scores: a UK national picture. The British Journal of Educational Psychology, 76(3), 463–480.
Stricker, L. J., Rock, D. A., & Burton, N. W. (1993). Sex differences in predictions of college grades from scholastic aptitude test scores. Journal of Education and Psychology, 85(4), 710–718.
Trapmann, S., Hell, B., Hirn, J. O., & Schuler, H. (2007). Meta-analysis of the relationship between the big five and academic success at university. Zeitschrift für Psychologie, 215(2), 132–151.
van Langen, A., Rekers-Mombarg, L., & Dekkers, H. (2006). Sex–related differences in the determinants and process of science and mathematics choice in pre–university education. International Journal of Science Education, 28(1), 71–94.
Veldman, D. J. (1968). Effects of sex, aptitudes, and attitudes on the academic achievement of college freshmen. Journal of Educational Measurement, 5(3), 245–249.
Young, J. W., & Kobrin, J. L. (200). Differential validity, differential prediction, and college admission testing: a comprehensive review and analysis. (College Board No. 2001–6). New York: College Board.
Zeidner, M. (1998). Test anxiety: the state of the art. New York: Plenum Press.
Zwick, R. (2002). Fair game? The use of standardized admissions tests in higher education. New York: Routledge Falmer.
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Franziska Fischer. Department of Psychology, University of Konstanz, Universitätsstraße 10, 78457 Konstanz, Germany. E-Mail: franziska.fischer@uni-konstanz.de; Website: http://www.psychologie.uni-konstanz.de/genderfairness/
Current themes of research:
Sex-Specific Differential Prediction of College Admission Tests. Aptitude testing. Intelligence.
Most relevant publications in the field of Psychology of Education:
Fischer, F., Schult, J. & Hell, B., submitted. Sex-Specific Differential Prediction of College Admission Tests: A Meta-Analysis
Johannes Schult. Department of Psychology, University of Konstanz, Universitätsstraße 10, 78457 Konstanz, Germany. E-Mail: johannes.schult@uni-konstanz.de; Web site: http://www.psychologie.uni-konstanz.de/genderfairness/
Current themes of research:
Psychometrics. Sex Differences in Education. Psychological Assessment and Testing.
Most relevant publications in the field of Psychology of Education:
Schult, J., Hell, B., Päßler, K., Schuler, H., submitted. Sex-Specific Under-Prediction of Academic Achievement: Does the Intelligence Domain Matter?
Dr. Benedikt Hell. Department of Psychology, University of Konstanz, Universitätsstraße 10, 78457 Konstanz, Germany. E-Mail: benedikt.hell@uni-konstanz.de; Web site: http://www.psychologie.uni-konstanz.de/genderfairness/
Current themes of research:
Gender Differences. Fairness of psychological tests in general. Validity and fairness of admission tests. Test-takers view on psychological assessment. Personnel selection. Vocational guidance.
Most relevant publications in the field of Psychology of Education:
Hell, B. & Päßler, K. (2011). Are occupational interests hormonally influenced? The 2D:4D-interest nexus. Personality and Individual Differences, 51 (4), 376–380. doi: 10.1016/j.paid.2010.05.033.
Hell, B. & Schuler, H. (2005). Verfahren der Studierendenauswahl aus Sicht der Bewerber.[Test-takers view on Admission Testing]. Empirische Pädagogik, 19, 4, 361–376.
Hell, B., Trapmann, S., Weigand, S. & Schuler, H. (2007). Die Validität von Auswahlgesprächen im Rahmen der Hochschulzulassung—eine Metaanalyse. [The Validity of Admission Interviews—a meta-analysis]. Psychologische Rundschau, 58, 2, 93–102. doi: 10.1026/0033-3042.58.2.93.
Trapmann, S., Hell, B., Hirn, S. & Schuler, H. (2007). Meta-Analysis of the Relationship Between the Big Five and Academic Success at University. Zeitschrift für Psychologie/Journal of Psychology, 215, 2, 132–151. doi: 10.1027/0044-3409.215.2.132.
Von Stumm, S., Hell, B. & Chamorro-Premuzic, T. (2011). The hungry mind: Intellectual curiosity is the third pillar of academic performance. Perspectives on Psychological Science, 6, 574–588. doi: 10.1177/1745691611421204.
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Fischer, F., Schult, J. & Hell, B. Sex differences in secondary school success: why female students perform better. Eur J Psychol Educ 28, 529–543 (2013). https://doi.org/10.1007/s10212-012-0127-4
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DOI: https://doi.org/10.1007/s10212-012-0127-4