Predicting education science students’ statistics anxiety: The role of prior experiences within a framework of domain-specific motivation constructs

  • Guenter Faber Leibniz University Hannover
  • Heike Drexler Leibniz University Hannover
Keywords: statistics anxiety, education science students, self-beliefs, prior experiences


Based on a cognitive-motivational modeling of construct relations, the present study aimed at analyzing the role of prior statistics experiences to ex­­plain education science students’ statistics anxiety. Data were analyzed from two independent samples which consisted of N = 113 and N = 87 participants – using a different operationalization of the experience variable in each case. In both samples, analyses demonstrated students’ statistics anxiety to be substantially ex­plained by their self-concept and negative utility value – but not by their prior sta­tistics ex­periences. However, conceptually assumed interaction effects between motivation and ex­perience variables did not occur. Instead, students’ statistics anxiety appeared to be de­pendent on self-concept and value scores across all experience levels. Moreover, different operationa­lizations of the experience variable produced somewhat varying effect patterns. Find­ings are discussed in terms of conceptual, methodological, and instructional implications.

Author Biography

Heike Drexler, Leibniz University Hannover

Heike Drexler is a lecturer at the Institute of Psychology


Ahmed, W., Minnaert, A., Kuyper, H., & van der Werf, G. (2012). Reciprocal relationships between math self-concept and math anxiety. Learning and Individual Differences, 22, 385-389. DOI: 10.1016/j.lindif.2011.12.004
Baloğlu, M. (2002). Psychometric properties of the Statistics Anxiety Rating Scale. Psychological Reports, 90, 315-325. DOI: 10.2466/pr0.2002.90.1.315
Birenbaum, M., & Eylath, S. (1994). Who is afraid of statistics? Correlates of statistics anx-iety among students of educational sciences. Educational Research, 36, 93-98. DOI: 10.1080/0013188940360110
Cano, F., Martin, A. J., Ginns, P. & Berbén, A. B. G. (2018). Students’ self-worth protection and approaches to learning in higher education: predictors and consequences. Higher Education, 76, 163-181. DOI: 10.1007/s10734-017-0215-0
Carmona, J., Martínez, R. J., & Sánchez, M. (2005). Mathematical background and attitudes toward statistics in a sample of Spanish college students. Psychological Reports, 97, 53-62. DOI: 10.2466/pr0.97.1.53-62
Chew, K. H., & Dillon, D. (2012). Statistics anxiety fluctuates over a semester and decreases with experience. Presentation at the 24th Annual Convention of the Association for Psychological Science (APS), Chicago, May 24-27, 2012.
Chew, P. K. H., & Dillon, D. B. (2014a). Individual differences in statistics anxiety among students in Singapore. In P. Mandal (Ed.), Proceedings of the International Conference on Managing the Asian Century (pp. 293-302).Singapore: Springer Publishing.
Chew, P. K. H., & Dillon, D. (2014b). Statistics anxiety update: Refining the construct and recommendations for a new research agenda. Perspectives on Psychological Science, 9, 196-208. DOI: 10.1177/1745691613518077
Chiesi, F., & Primi, C. (2010). Cognitive and non-cognitive factors related to students' statistics achievement. Statistics Education Research Journal, 9(1), 6-26.
Chiesi, F. & Primi, C. (2018). What happens when attitudes toward statistics change (increase vs decrease) during the course? In M. A. Sorto, A. White & L. Guyot (Eds.), Looking back, looking forward. Proceedings of theTenth International Conference on Teaching Statistics (ICOTS10). Voorburg: International Statistical Institute.
Choi, N. (2005). Self-efficacy and self-concept as predictors of college students’ academic performance. Psychology in the Schools, 42, 197-205. DOI:10.1002/pits.20048
Cruise, R. J., Cash, R. W., & Bolton, D. L. (1985). Development and validation of an instrument to measure statistical anxiety. Paper presented at the annual meeting of the Statistical Education Section. Proceedings of the American Statistical Association, Chicago 1985 (pp. 92-97). Washington: American Statistical Association.
Cybinski, P., & Selvanathan, S. (2005). Learning experience and learning effectiveness in undergraduate statistics: Modeling performance in traditional and flexible learning environments. Decision Sciences Journal of Innovative Education, 3, 251-271. DOI: 10.1111/j.1540-4609.2005.00069.x
Dempster, M., & McCorry, N. K. (2009). The role of previous experience and attitudes toward statistics in statistics outcomes among undergraduate psychology students. Journal of Statistics Education, 17(2), 1-6. DOI: 10.1080/10691898.2009.11889515
Emmioǧlu, E., & Capa-Aydin, Y. (2012). Attitudes and achievement in statistics: A meta-analysis study. Statistics Education Research Journal, 11(2), 95-102.
Finney, S. J., & Schraw, G. (2003). Self-efficacy beliefs in college statistics courses. Contemporary Educational Psychology, 28, 161-186. DOI:10.1016/S0361-476X(02)00015-2
Galli, S., Ciancaleoni, M., Chiesi, F., & Primi, C. (2008). Who failed the introductory statistics examination? A study on a sample of psychology students. Paper presented at the 11th International Congress on Mathematical Education (ICME), Monterrey, Mexico, July 6-13.
Galli, S., Chiesi, F., & Primi, C. (2008). The construction of a scale to measure mathematical ability in psychology students: An application of the Rasch model. Testing Psicometrica Metodologia, 15(1), 3-18.
Garfield, J., & Ben-Zvi, D. (2007). How students learn statistics revisited: A current review of research on teaching and learning statistics. International Statistical Review, 75, 372-396. DOI: 10.1111/j.1751-5823.2007.00029.x
Goetz, T., Pekrun, R., Hall, N., & Haag, L. (2006). Academic emotions from a social-cognitive perspective: Antecedents and domain-specificity of students' affect in the context of Latin instruction. British Journal of Educational Psychology, 76, 289-308. DOI: 10.1348/000709905X42860
González, A., Rodrígez, Y., Faílde, J. M., & Carrera, M. V. (2016). Anxiety in the statistics class: Structural relations with self-concept, intrinsic value, and engagement in two samples of undergraduates. Learning and Individual Differences, 45, 214-221. DOI: 10.1016/j.lindif.2015.12.019
Graham, J. W. (2012). Missing data. Analysis and design. New York: Springer.
Hanna, D., & Dempster, M. (2012). The effect of statistics anxiety on students’ predicted and actual test scores. Irish Journal of Psychology, 30, 201-209. DOI: 10.1080/03033910.2009.10446310
Hannigan, A., Hegarty, A. C., & McGrath, D. (2014). Attitudes towards statistics of graduate entry medical students: the role of prior learning experiences. BMC Medical Education, 14, 70(1-7). DOI: 10.1186/1472-6920-14-70
Hodapp, V., & Benson, J. (1997). The multidimensionality of test anxiety: A test of different models. Anxiety, Stress, and Coping, 10, 219-244. DOI: 10.1080/10615809708249302
Hood, M., Creed, P. A., & Neumann, D. L. (2012). Using the expectancy value model of motivation to understand the relationship between student attitudes and achievement in statistics. Statistics Education Research Journal, 11(2), 72-85.
Kesici, S., Baloğlu, M., & Deniz, M. E. (2011). Self-regulated learning strategies in relation with statistics anxiety. Learning and Individual Differences, 21, 472-477. DOI: 10.1016/j.lindif.2011.02.006
Little, R. J. A. (1988). A test of missing completely at random for multivariate data with missing values. Journal of the American Statistical Association, 83, 1198-1202. DOI: 10.2307/2290157
Macher, D., Paechter, M., Papousek, I., & Ruggeri, K. (2012). Statistics anxiety, trait anxiety, learning behavior, and academic performance. European Journal of Psychology of Education, 27, 483-498. DOI: 10.1007/s10212-011-0090-5
Macher, D., Paechter, M., Papousek, I., Ruggeri, K., Freudenthaler, H. H., & Arendasy, M. (2013). Statistics anxiety, state anxiety during an examination, and academic achievement. British Journal of Educational Psychology, 83, 535-549. DOI: 10.1111/j.2044-8279.2012.02081.x
Markle, G. (2017). Factors influencing achievement in undergraduate social science research methods courses: A mixed methods analysis. Teaching Sociology, 45, 105-115. DOI: 10.1177%2F0092055X16676302
Mji, A., & Onuwuegbuzie, A. J. (2004). Evidence of score reliability and validity of the Statistical Anxiety Rating Scale among technikon students in South Africa. Measurement and Evaluation in Counseling and Development, 36, 238-251.¬ DOI: 10.1080/07481756.2004.11909745
Möller, J., Streblow, L., Pohlmann, B., & Köller, O. (2006). An extension to the internal/external frame of reference model to two verbal and numerical domains. European Journal of Psychology of Education, 21, 467-487.
Murtonen, M., & Lehtinen, E. (2003). Difficulties experienced by education and sociology students in quantitative methods courses. Studies in Higher Education, 28, 171–85. DOI: 10.1080/0307507032000058064
Murtonen, M., Olkinuora, E., Tynjälä, P., & Lehtinen, E. (2008). »Do I need research skills in working life?«: University students’ motivation and difficulties in quantitative method courses. Higher Education, 56, 599-612. DOI: 10.1007/s10734-008-9113-9
Nasser, F. M. (2004). Structural model of the effects of cognitive and affective factors on the achievement of Arabic-speaking preservice teachers in introductory statistics. Journal of Statistics Education, 12(1), 1-18. DOI: 10.1080/10691898.2004.11910717
Onwuegbuzie, A. J. (2000). Statistics anxiety and the role of self-perceptions. Journal of Educational Research, 93, 323-330. DOI: 10.1080/00220670009598724
Onwuegbuzie, A. J. (2003). Modeling statistics achievement among graduate students. Educational and Psychological Measurement, 63, 1020-1038. DOI: 10.1177%2F0013164402250989
Onwuegbuzie, A. J., & Wilson, V. A. (2003). Statistics anxiety: Nature, etiology, antecedents, effects and treatments – a comprehensive review of the literature. Teaching in Higher Education, 8, 195-209. DOI: 10.1080/1356251032000052447
Paechter, M., Macher, D., Martskvishvili, K., Wimmer, S., & Papousek, I. (2017). Mathematics anxiety and statistics anxiety. Shared but also unshared contributions and antagonistic contributions to performance in statistics. Frontiers in Psychology, 8, 1196. DOI: 10.3389/2Ffpsyg.2017.01196
Papousek, I., Ruggeri, K., Macher, D., Paechter, M., Heene, M., Weiss, E. M., Schulter, G., & Freudenthaler, H. (2012). Psychometric evaluation and experimental validation of the Statistics Anxiety Rating Scale. Journal of Personality Assessment, 94, 82-91. DOI: 10.1080/00223891.2011.627959
Pekrun, R. (1988). Anxiety and motivation in achievement settings: Towards a system-theoretical approach. International Journal of Educational Research, 12, 307-323. DOI: 10.1016/0883-0355(88)90008-0
Pekrun, R., Frenzel, A., Goetz, T., & Perry, R. P. (2007). The control-value theory of achievement emotions: An integrative approach to emotions in education. In P. A. Schulz, & R. Pekrun (Eds.), Emotions in education (pp. 13-36). San Diego: Academic Press. DOI: 10.1016/B978-012372545-5/50003-4
Pekrun, R., Lichtenfeld, S., Marsh, H. W., Murayama, K., & Goetz, T. (2017). Achievement emotions and academic performance: Longitudinal models of reciprocal effects. Child Development, 88, 1654-1670. DOI: 10.1111/cdev.12704
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88, 879-903. DOI: 10.1037/0021-9010.88.5.879
Ralston, K., MacInnes, J., Crow, G., & Gayle, V. (2016). We need to talk about statistical anxiety. A review of the evidence around statistical anxiety in the context of quantitative methods pedagogy. University of Edinburgh: National Centre for Research Methods (Working paper 4/16).
Régner, I., & Loose, F. (2006). Relationship of sociocultural factors and academic self-esteem to school grades and school disengagement in North African French adolescents. British Journal of Social Psychology, 45, 777-797. DOI: 10.1348/014466605X83610
Roick, J., & Ringeisen, T. (2017). Self-efficacy, test anxiety, and academic success: A longitudinal validation. International Journal of Educational Research, 83, 84-93. DOI: 10.1016/j.ijer.2016.12.006
Rost, D. H., & Schermer, F. J. (1989). The various facets of test anxiety: A subcomponent model of test anxiety measurement. In R. Schwarzer, H. M. van der Ploeg, & C. D. Spielberger (Eds.), Advances in test anxiety research. Volume 6 (pp. 36-52) Lisse: Swets and Zeitlinger.
Rost, D. H., Sparfeldt, J. R., & Schilling, S. R. (2007). DISK-Gitter mit SKSLF-8. Differentielles Selbstkonzept-Gitter mit Skala zur Erfassung des Selbstkonzepts schulischer Leistungen und Fähigkeiten [The Self-concept grid: A questionnaire for measuring subject-specific facets of academic self-concept]. Göttingen: Hogrefe.
Sarason, I. G. (1984). Stress, anxiety, and cognitive interference: Reactions to tests. Journal of Personality and Social Psychology, 46, 929-938. DOI: 10.1037/0022-3514.46.4.929
Schmader, T., Major, B., & Gramzow, R. H. (2001). Coping with ethnic stereotypes in the academic domain: Perceived injustice and psychological disengagement. Journal of Social Issues, 57, 93-111. DOI: 10.1111/0022-4537.00203
Schober, B., Wagner, P., Reimann, R., Atria, M., & Spiel, C. (2006). Teaching research methods in an internet-based blended-learning setting. Vienna E-Lecturing (VEL). Methodology, 2, 73-82. DOI: 10.1027/1614-2241.2.2.73
Schönwetter, D. J., Clifton, R. A., & Perry, R. P. (2002). Content familiarity: Differential impact of effective teaching on student achievement outcomes. Research in Higher Education, 43, 625-655. DOI: 10.1023/A:1020999014875
Schriesheim, C. A., Kopelman, R. E., & Solomon, E. (1989). The effect of grouped versus randomized questionnaire format on scale reliability and validity: A three-study investigation. Educational and Psychological Measurement, 49, 487-508. DOI: 10.1177%2F001316448904900301
Schutz, P. A., Drogosz, L. M., White, V. E., & Distefano, C. (1998). Prior knowledge, attitude, and strategy use in an introduction to statistics course. Learning and Individual Differences, 10, 291-308. DOI: 10.1016/S1041-6080(99)80124-1
Schwarzer, R. (1996). Thought control of action: Interfering self-doubts. In I. G. Sarason, G. R. Pierce, & B. R. Sarason (Eds.), Cognitive interference: Theory, methods and findings (pp. 99-115). Mahwah: Erlbaum.
Sesé, A., Jiménez, R., Montaño, J.-J., & Palmer, A. (2015). Can attitudes towards statistics and statistics anxiety explain students’ performance? Revista de Psicodidáctica, 20, 285-304. DOI: 10.1387/RevPsicodidact.13080
Slootmaeckers, K. (2012). Too afraid to learn?! Attitudes towards statistics as a barrier to learning statistics and to acquiring quantitative skills. Paper presented at the 4th International Conference on Education and New Learning Technologies, Barcelona, July 2-4.
Slootmaeckers, K., Adriaensen, J., & Kerremans, B. (2013). Taking research methods out of isolation: Teachers’ experiences with curriculum-wide integration of research methods in substantive courses. Paper presented at the APSA Teaching and Learning Conference, Long Beach, February 8-10.
Smith, T., & Smith, S. (2018). Reliability and validity of the Research Methods Skills Assessment. International Journal of Teaching and Learning in Higher Education, 30, 80-90.
Spada, M. M., & Moneta, G. B. (2012). A metacognitive-motivational model of surface approach to studying. Educational Psychology, 32, 45–62. DOI: 10.1080/01443410.2011.625610
Stephan, Y., Caudroit, J., Boiché, J., & Sarrazin, P. (2011). Predictors of situational disengagement in the academic setting: The contribution of grades, perceived competence, and academic motivation. British Journal of Educational Psychology, 81, 441–55. DOI: 10.1348/000709910X522285
Stiensmeier-Pelster, J., & Otterpohl, N. (2018). Motivation at school and university. In J. Heckhausen, & H. Heckhausen (Eds.), Motivation and action (3rd ed., pp. 783-817). Cham: Springer International Publishing. DOI: 10.1007/978-3-662-53927-9_18
Sutarso, T. (1992). Some variables in relation to students’ anxiety in learning statistics. Paper presented at the Annual Meeting of the Mid-South Educational Research Association, Knoxville 1992, November 11-13.
Tomarken, A. J., & Serlin, R. C. (1986). Comparison of ANOVA alternatives under variance heterogeneity and specific noncentrality structures. Psychological Bulletin, 99, 90-99. DOI: 10.1037/0033-2909.99.1.90
Townsend, M. A. R., Moore, D. W., Tuck, B. F., & Wilton, K. M. (1998). Self-concept and anxiety in university students studying social science statistics within a co-operative learning structure. Educational Psychology, 18, 41-54. DOI: 10.1080/0144341980180103
Tremblay, P. F., Gardner, R. C., & Heipel, G. (2000). A model of the relationships among measures of affect, aptitude, and performance in introductory statistics. Canadian Journal of Behavioural Science, 32, 40-48. DOI: 10.1037/h0087099
Virtanen, P., Nevgi, A., & Niemi, H. (2013). Self-regulation in higher education: Students’ motivational, regulational, and learning strategies, and their relationship to study success. Studies for the Learning Society, 3(1-2), 20-36. DOI: 10.2478/sls-2013-0004
von der Embse, N., Jester, D., Roy, D., & Post, J. (2018). Test anxiety effects, predictors, and correlates: A 30-year meta-analytic review. Journal of Affective Disorders, 227, 483-493. DOI: 10.1016/j.jad.2017.11.048
Waples, J. A. (2016). Building emotional support with students in statistics courses. Scholarship of Teaching and Learning in Psychology, 2, 285-293. DOI: 10.1037/stl0000071
Warr, P., & Downing, J. (2000). Learning strategies, learning anxiety and knowledge acquisition. British Journal of Educational Psychology, 91, 311-333. DOI: 10.1348/000712600161853
Wiberg, M. (2009). Teaching statistics in integration with psychology. Journal of Statistics Education, 17(1), pp. 16. DOI: 10.1080/10691898.2009.11889509
Wigfield, A., & Eccles, J. S. (2000). Expectancy-value theory of achievement motivation. Contemporary Educational Psychology, 25, 68-81. DOI: 10.1006/ceps.1999.1015
Wigfield, A., Hoa, L. W., & Klauda, S. L. (2009). The role of achievement values in the regulation of achievement behaviors. In D. H. Schunk, & B. J. Zimmerman (Eds.), Motivation and self-regulated learning. Theory, research, and applications (pp. 169-195). New York: Routledge.
Zeidner, M. (1991). Statistics and mathematics anxiety in social science students: Some interesting parallels. British Journal of Educational Psychology, 61, 319-328. DOI: 10.1111/j.2044-8279.1991.tb00989.x
Zeidner, M. (1998). Test anxiety. The state of the art. New York: Plenum.
How to Cite
Faber, G., & Drexler, H. (2019). Predicting education science students’ statistics anxiety: The role of prior experiences within a framework of domain-specific motivation constructs. Higher Learning Research Communications, 9(1).