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Statistics anxiety, trait anxiety, learning behavior, and academic performance

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Abstract

The present study investigated the relationship between statistics anxiety, individual characteristics (e.g., trait anxiety and learning strategies), and academic performance. Students enrolled in a statistics course in psychology (N = 147) filled in a questionnaire on statistics anxiety, trait anxiety, interest in statistics, mathematical self-concept, learning strategies, and procrastination. Additionally, their performance in the examination was recorded. The structural equation model showed that statistics anxiety held a crucial role as the strongest direct predictor of performance. Students with higher statistics anxiety achieved less in the examination and showed higher procrastination scores. Statistics anxiety was related indirectly to spending less effort and time on learning. Trait anxiety was related positively to statistics anxiety and, counterintuitively, to academic performance. This result can be explained by the heterogeneity of the measure of trait anxiety. The part of trait anxiety that is unrelated to the specific part of statistics anxiety correlated positively with performance.

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References

  • Akinsola, M., Tella, A., & Tella, A. (2007). Correlates of academic procrastination and mathematics achievement of university undergraduate students. Eurasia Journal of Mathematics, Science & Technology Education, 3, 363–370.

    Google Scholar 

  • Anderson, L., & Krathwohl, D. (2001). A taxonomy for learning, teaching, and assessing. A revision of Bloom’s taxonomy of educational objectives. New York: Addison-Wesley.

    Google Scholar 

  • Baloglu, M. (2004). Individual differences in statistics anxiety among college students. Personality and Individual Differences, 34, 855–865.

    Article  Google Scholar 

  • Baloglu, M., & Zelhart, P. F. (2004). Statistics anxiety: a detailed review of the literature. Psychology and Education, 40, 1–15.

    Google Scholar 

  • Benjamin, M., McKeachie, W., Lin, Y., & Holinger, D. (1981). Test anxiety: deficits in information processing. Journal of Educational Psychology, 73, 816–824.

    Article  Google Scholar 

  • Benson, J. (1989). Structural components of statistical test anxiety in adults: an exploratory model. The Journal of Experimental Education, 57, 247–261.

    Google Scholar 

  • Bradley, D. R., & Wygant, C. R. (1998). Male and female differences in anxiety about statistics are not reflected in performance. Psychological Reports, 82, 245–246.

    Article  Google Scholar 

  • Calvo, M., Eysenck, M., & Castillo, M. (1997). Interpretation bias in test anxiety: the time course of predictive inferences. Cognition and Emotion, 11, 43–93.

    Article  Google Scholar 

  • Cassady, J., & Johnson, R. (2002). Cognitive test anxiety and academic performance. Contemporary Educational Psychology, 27, 270–295.

    Article  Google Scholar 

  • Chamorro-Premuzic, T., & Furnham, A. (2003). Personality traits and academic examination performance. European Journal of Personality, 17, 237–250.

    Article  Google Scholar 

  • Cruise, R., & Wilkins, E. (1980). STARS: Statistical Anxiety Rating Scale. Berrien Springs: Andrews University.

    Google Scholar 

  • Cruise, R., Cash, R., & Bolton, D. (1985). Development and validation of an instrument to measure statistical anxiety. Paper presented at the annual meeting of the American Statistical Association Statistics Education Section. Las Vegas, NV.

  • DeRoma, V., Young, A., Mabrouk, S., Brannan, K., Hilleke, R., & Johnson, K. (2003). Procrastination and student performance on immediate and delayed quizzes. Education, 124, 40–48.

    Google Scholar 

  • Diseth, A. (2003). Personality and approaches to learning as predictors of academic achievement. European Journal of Personality, 17, 143–155.

    Article  Google Scholar 

  • Eysenck, M., MacLeod, C., & Mathews, A. (1987). Cognitive functioning and anxiety. Psychological Research, 49, 189–195.

    Article  Google Scholar 

  • Ferla, J., Valcke, M., & Schuyten, G. (2010). Judgments of self-perceived academic competence and their differential impact on students’ achievement motivation, learning approach, and academic performance. European Journal of Psychology of Education, 25, 519–536.

    Article  Google Scholar 

  • Fitzgerald, S., Jurs, S., & Hudson, L. (1996). A model predicting statistics achievement among graduate students. College Student Journal, 30, 361–366.

    Google Scholar 

  • Flett, G., Blankstein, K., Hewitt, P., & Koledin, S. (1992). Components of perfectionism and procrastination in college students. Social Behavior and Personality: An International Journal, 20, 85–94.

    Article  Google Scholar 

  • Hanna, D., Shevlin, M., & Dempster, M. (2008). Structure of the Statistics Anxiety Rating Scale: a confirmatory factor analysis using UK psychology students. Personality and Individual Differences, 45, 68–74.

    Article  Google Scholar 

  • Haycock, L., McCarthy, P., & Skay, C. (1998). Procrastination in college students: the role of self-efficacy and anxiety. Journal of Counseling and Development, 76, 317–324.

    Article  Google Scholar 

  • Hembree, R. (1988). Correlates, causes, and treatment of test anxiety. Review of Educational Research, 58, 47–77.

    Google Scholar 

  • Hill, K., & Wigfield, A. (1984). Test anxiety: a major educational problem and what can be done about it. The Elementary School Journal, 85, 105–126.

    Article  Google Scholar 

  • Hopko, D., Ashcraft, M., Gute, J., Ruggiero, K., & Lewis, C. (1998). Mathematics anxiety and working memory: support for the existence of a deficient inhibition mechanism. Journal of Anxiety Disorders, 12, 343–355.

    Article  Google Scholar 

  • Howell, A., & Watson, D. (2007). Procrastination: associations with achievement goal orientation and learning strategies. Personality and Individual Differences, 43, 167–178.

    Article  Google Scholar 

  • Jones, B. D., Wilkins, J. L. M., Long, M. H., & Wang, F. (2011). Testing a motivational model of achievement: how students’ mathematical beliefs and interests are related to their achievement. European Journal of Psychology of Education, 26. doi:10.1007/s10212-011-0062-9.

  • Kaplan, D. (2009). Structural equation modeling: foundations and extensions (2nd ed.). Thousand Oaks: Sage.

    Google Scholar 

  • Keeley, J., Zayac, R., & Correia, C. (2008). Curvilinear relationships between statistics anxiety and performance among undergraduate students: evidence for optimal anxiety. Statistics Education Research Journal, 7, 4–15.

    Google Scholar 

  • Krapp, A. (2005). Basic needs and the development of interest and intrinsic motivational orientations. Learning and Instruction, 15, 381–395.

    Article  Google Scholar 

  • Laux, L., Glanzmann, P., Schaffner, P., & Spielberger, C. (1981). Das State-Trait-Angst-Inventar. Theoretische Grundlagen und Handanweisung [The State-Trait-Anxiety Inventory. Theoretical foundation and manual]. Weinheim: Beltz Test GmbH.

    Google Scholar 

  • Marsh, H. W. (1990). The structure of academic self-concept: the Marsh/Shavelson model. Journal of Educational Psychology, 82, 623–636.

    Article  Google Scholar 

  • Marsh, H. W., & Yeung, A. S. (1997). Causal effects of academic self-concept on academic achievement: structural equation models of longitudinal data. Journal of Educational Psychology, 89, 41–54.

    Article  Google Scholar 

  • Mathews, G., Davies, D., Westerman, S., & Stammers, R. (2000). Human performance. Cognition, stress, and individual differences. Hove: Psychology Press.

    Google Scholar 

  • Morris, L., Davis, M., & Hutchings, C. (1981). Cognitive and emotional components of anxiety: literature review and a revised worry-emotionality scale. Journal of Educational Psychology, 73, 541–555.

    Article  Google Scholar 

  • Musch, J., & Bröder, A. (1999). Test anxiety versus academic skills: a comparison of two alternative models for predicting performance in a statistics. British Journal of Educational Psychology, 69, 105–116.

    Article  Google Scholar 

  • Muthen, L., & Muthen, B. (2009). Mplus (version 5.21). [Computer software]. Los Angeles: Muthen & Muthen.

    Google Scholar 

  • O’Callaghan, J., Essau, C., Ederer, E., Bokszczanin, A., & Sasagawa, S. (2009). Academic and general procrastination: A cross-cultural comparison. In S. McCarthy, V. Karandashev, M. Stevens, A. Thatcher, J. Jaafar, K. Moore, A. Trapp, & C. Brewer (Eds.), Teaching psychology around the world (Vol. 2, pp. 341–360). Newcastle-upon-Tyne: Cambridge Scholars Publishing.

    Google Scholar 

  • OECD. (2009). Assessing scientific, reading, and mathematical literacy. A framework for PISA 2006. Paris: OECD.

    Google Scholar 

  • Onwuegbuzie, A. (2000). Statistics anxiety and the role of self-perceptions. The Journal of Educational Research, 93, 323–330.

    Article  Google Scholar 

  • Onwuegbuzie, A. (2003). Modeling statistics achievement among graduate students. Educational and Psychological Measurement, 63, 1020–1037.

    Article  Google Scholar 

  • Onwuegbuzie, A. (2004). Academic procrastination and statistics anxiety. Assessment & Evaluation in Higher Education, 29, 3–19.

    Article  Google Scholar 

  • Onwuegbuzie, A., & Daley, C. (1999). Perfectionism and statistics anxiety. Personality and Individual Differences, 26, 1089–1102.

    Article  Google Scholar 

  • Onwuegbuzie, A., & Seaman, M. (1995). The effect of time and anxiety on statistics achievement. Journal of Experimental Psychology, 63, 115–124.

    Google Scholar 

  • Onwuegbuzie, A., & Wilson, V. (2003). Statistics anxiety: nature, etiology, antecedents, effects, and treatments—a comprehensive review of the literature. Teaching in Higher Education, 8, 195–209.

    Article  Google Scholar 

  • Onwuegbuzie, A. J., DaRos, D., & Ryan, J. M. (1997). The components of statistics anxiety: a phenomenological study. Focus on Learning Problems in Mathematics, 19, 11–35.

    Google Scholar 

  • Papousek, I., Ruggeri, K., Macher, D., Paechter, M., Heene, M., Weiss, E. M., et al. (2012). Psychometric evaluation and experimental validation of the Statistics Anxiety Rating Scale. Journal of Personality Assessment (in press).

  • Peixoto, F., & Almeida, L. S. (2010). Self-concept, self-esteem and academic achievement: strategies for maintaining self-esteem in students experiencing academic failure. European Journal of Psychology of Education, 25, 157–175.

    Article  Google Scholar 

  • Pintrich, P., & DeGroot, E. (1990). Motivational and self-regulated learning components of classroom academic performance. Journal of Educational Psychology, 82, 33–40.

    Article  Google Scholar 

  • Pintrich, P. R., Smith, D., Garcia, T., & McKeachie, W. J. (1991). The Motivated Strategies for Learning Questionnaire (MSLQ). Ann Arbor: The University of Michigan.

    Google Scholar 

  • Ramm, G., Prenzel, M., Baumert, J., Blum, W., Lehmann, R., Leutner, D., Neubrand, M., Pekrun, R., Rolff, H.-G., Rost, J., & Schiefele, U. (2003). PISA 2003. Dokumentation der Erhebungsinstrumente [PISA 2003. Documentation of the assessment instruments]. Münster: Waxmann.

    Google Scholar 

  • Rodarte-Luna, B., & Sherry, A. (2008). Sex differences in the relation between statistics anxiety and cognitive learning strategies. Contemporary Educational Psychology, 33, 327–344.

    Article  Google Scholar 

  • Ruggeri, K., Dempster, M., Hanna, D., & Cleary, C. (2008a). Experiences and expectations: the real reason nobody likes stats. Psychology Teaching Review, 14, 75–83.

    Google Scholar 

  • Ruggeri, K., Diaz, C., Kelley, K., Papousek, I., Dempster, M., & Hanna, D. (2008b). International issues in education. Psychology Teaching Review, 14, 65–74.

    Google Scholar 

  • Schermelleh-Engel, K., Moosbrugger, H., & Müller, H. (2003). Evaluating the fit of structural equation models: Test of significance and descriptive goodness-of-fit measures. Methods of Psychological Research–Online, 8, 23–74. http://www.mpr-online.de/. Accessed 25 Mar 2010.

  • Schutz, P., Drogosz, L., White, V., & Distefano, C. (1998). Prior knowledge, attitude, and strategy use in an introduction to statistics course. Learning and Individual Differences, 10, 291–309.

    Article  Google Scholar 

  • Schwarzer, R., & Jerusalem, M. (1992). Anxiety theory: a cognitive process approach. In K. Hagtvet & T. Johnson (Eds.), Advances in test anxiety research (Vol. 7, pp. 2–16). Lisse: Swets & Zeitlinger.

    Google Scholar 

  • Solomon, L., & Rothblum, E. (1984). Academic procrastination: frequency and cognitive-behavioural correlates. Journal of Counseling Psychology, 31, 504–510.

    Article  Google Scholar 

  • Steyer, R., Schwenkmezger, P., & Auer, A. (1990). The emotional and cognitive components of trait anxiety: a latent state–trait model. Personality and Individual Differences, 11, 125–134.

    Article  Google Scholar 

  • Trimarco, K. (1997). The effects of a graduate learning experience on anxiety, achievement, and expectations in research and statistics. Paper presented at the Annual Meeting of the Northeastern Educational Research Association (Ellenville, NY, October 28–30, 1997).

  • Tuckman, B. (1998). Using tests as incentive to motivate procrastinators to study. The Journal of Experimental Education, 66, 141–145.

    Article  Google Scholar 

  • Wadsworth, L., Husman, J., Duggan, M., & Pennington, M. (2007). Online mathematics achievement: effects of learning strategies and self-efficacy. Journal of Developmental Education, 30, 6–14.

    Google Scholar 

  • Walsh, J., & Ugumba-Agwunobi, G. (2002). Individual differences in statistics anxiety: the roles of perfectionism, procrastination and trait anxiety. Personal and Individual Differences, 33, 239–251.

    Article  Google Scholar 

  • Wild, K.-P. (2000). Lernstrategien im Studium. Strukturen und Bedingungen [Learning strategies in academic studies. Structures and preconditions]. Münster: Waxmann.

    Google Scholar 

  • Williamson, R. & Mattiske, J. (2002). Influence of outcome expectancy and uncertainty on statistics anxiety and achievement among psychology undergraduates. Paper presented at the 6th International Conference on Teaching Statistics (ICOTS6), Cape Town, South Africa.

  • Wilson, M. (2005). Constructing measures: an item response modeling approach. Mahwah: Lawrence Erlbaum Associates.

    Google Scholar 

  • Wolters, C. A. (2003). Understanding procrastination from a self-regulated learning perspective. Journal of Educational Psychology, 95, 179–187.

    Article  Google Scholar 

  • Wu, M., Adams, R., Wilson, M., & Haldane, S. (2007). ConQuest (version 2.0) [Computer software]. Camberwell: ACER.

    Google Scholar 

  • Zeidner, M. (1991). Statistics and mathematics anxiety in social science students: some interesting parallels. British Journal of Educational Psychology, 61, 319–328.

    Article  Google Scholar 

Download references

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Correspondence to Daniel Macher.

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Daniel Macher. Department of Psychology, University of Graz, Graz, Austria. E-mail: daniel.macher@uni-graz.at; Web site: http://paedpsy.uni-graz.at/

Current themes of research:

Statistics anxiety. Learning with digital media.

Most relevant publications in the field of Psychology of Education:

Paechter, M., Maier, B. & Macher, D. (2010). Students’ expectations of, and experiences in e-learning: Their relation to learning achievements and course satisfaction. Computers & Education, 54(1), 222–229.

Paechter, M., Maier, B. & Macher, D. (2011). Evaluation universitärer Lehre mittels Einschätzungen des subjektiven Kompetenzerwerbs [Evaluation of University Courses by Students’ Assessment of Acquisition of Competence]. Psychologie in Erziehung und Unterricht, 58, 128–138.

Papousek, I., Ruggeri, K., Macher, D., Paechter, M., Heene, M., Weiss, E.M., et al. (2012). Psychometric evaluation and experimental validation of the Statistics Anxiety Rating Scale. Journal of Personality Assessment (in press).

Manuela Paechter. Department of Psychology, University of Graz, Graz, Austria. E-mail: manuela.paechter@uni-graz.at; Web site: http://paedpsy.uni-graz.at/

Current themes of research:

Learning with digital media. Quality of instruction. Statistics anxiety.

Most relevant publications in the field of Psychology of Education:

Paechter, M. & Maier, B. (2010). Online or face-to-face? Students’ experiences and preferences in e-learning. Internet and Higher Education, 13, 292–297.

Paechter, M., Maier, B. & Macher, D. (2010). Students’ expectations of, and experiences in e-learning: Their relation to learning achievements and course satisfaction. Computers & Education, 54(1), 222–229.

Jones, M.G., Paechter, M., Gardner, G., Yen, C.-F., Taylor, A. & Tretter, T. (in press). Teachers’ concepts of spatial scale: An intercultural comparison. International Journal of Science Education.

Ilona Papousek. Department of Psychology, University of Graz, Graz, Austria. E-mail: ilona.papousek@uni-graz.at; Web site: http://www.uni-graz.at/biologicalpsychology/

Current themes of research:

Neuroscientific and psychophysiological studies of emotional traits and states. Statistics anxiety.

Most relevant publications in the field of Psychology of Education:

Papousek, I., Nauschnegg, K., Paechter, M., Lackner, H.K., Goswami, N., & Schulter, G. (2010). Trait and state positive affect and cardiovascular recovery from experimental academic stress. Biological Psychology, 83, 108–115.

Papousek, I., Ruggeri, K., Macher, D., Paechter, M., Heene, M., Weiss, E.M., et al. (2012). Psychometric evaluation and experimental validation of the Statistics Anxiety Rating Scale. Journal of Personality Assessment (in press).

Ruggeri, K., Diaz, C., Kelley, K., Papousek, I., Dempster, M., & Hanna, D. (2008). International issues in education. Psychology Teaching Review, 15, 94–104.

Kai Ruggeri. Institute of Public Health, University of Cambridge, Cambridge, UK. E-mail: dar56@medschl.cam.ac.uk; Web site: http://www.clahrc-cp.nihr.ac.uk/

Current themes of research:

Evidence-based policy in public health, mental health and health economics. Evaluation of e-learning programmes in health.

Most relevant publications in the field of Psychology of Education:

Papousek, I., Ruggeri, K., Macher, D., Paechter, M., Heene, M., Weiss, E.M., et al. (2012). Psychometric evaluation and experimental validation of the Statistics Anxiety Rating Scale. Journal of Personality Assessment (in press).

Ruggeri, K., de Azevedo, F., Bechard-Torres, E., Joyce, C., Jurkevičiūtė, I., Knight, S., McDermott, E., Naber, B., Piest, J., Vainre, M., & Zupan, Z. (2011). Divided Education: Analysing systemic segregation in Bosnian schools. Journal of East European and Asian Studies, 2(1), 49–65.

Ruggeri, K., Dempster, M., & Hanna, D. (2011). The impact of misunderstanding the nature of statistics. Psychology Teaching Review, 17(1), 35–40.

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Macher, D., Paechter, M., Papousek, I. et al. Statistics anxiety, trait anxiety, learning behavior, and academic performance. Eur J Psychol Educ 27, 483–498 (2012). https://doi.org/10.1007/s10212-011-0090-5

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