Education Science Students’ Statistics Anxiety: Developing and Analyzing a Scale for Measuring their Worry, Avoidance, and Emotionality Cognitions
https://doi.org/10.17583/ijep.2018.3340
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Abstract
Current instruments for assessing university students’ statistics anxiety prevailingly emphasize the affective construct component. In order to unfold the construct in a more exhaustive and differentiated manner, a scale for measuring university students’ worry, avoidance, and emotionality cognitions was developed. In two samples of education science majors the present pilot study aimed at analyzing the scale’s psychometric properties and at gaining preliminary validation results. Principal component analyses led to the formation of a unidimensional scale which appeared to be sufficiently reliable. Its relations to domain-specific self-belief and background variables turned out as theoretically expected – thus, for the time being the scale should claim criterion validity.
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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
Google Scholar CrossrefBaloğlu, M. (2002). Psychometric properties of the Statistics Anxiety Rating Scale. Psychological Reports, 90, 315-325. doi: 10.2466/pr0.2002.90.1.315
Google Scholar CrossrefBandalos, D. L., Yates, K., & Thorndike-Christ, T. (1995). Effects of math self-concept, perceived self-efficacy, and attributions for failure and success on test anxiety. Journal of Educational Psychology, 87, 611-623. doi: 10.1037/0022-0663.87.4.611
Google Scholar CrossrefBenson, J. (1989). Structural components of statistical test anxiety in adults: An exploratory model. Journal of Experimental Education, 57, 247-261. doi: 10.1080/00220973. 1989.10806509
Google Scholar CrossrefBenson, J. (1998). Developing a strong program of construct validation: A test anxiety example. Educational Measurement: Issues and Practice, 17, 10-17, 22. doi: 10. 1111/j.1745-3992.1998.tb00616.x
Google Scholar CrossrefBenson, J., Bandalos, D., & Hutchinson, S. (1994). Modeling test anxiety among men and women. Anxiety, Stress, and Coping, 7, 131-148. doi: 10.1080/10615809408249340
Google Scholar CrossrefBeurze, S. M., Donders, A. R. T., Zielhuis, G. A., de Vegt, F., & Verbeek, A. L. M. (2013). Statistics anxiety: A barrier for education in research methodology for medical students? Medical Science Educator, 23, 377-384. doi: 10.1007/BF033 41649
Google Scholar CrossrefBieg, M., Goetz, T., Wolter, I., & Hall, N. (2015). Gender stereotype endorsement differentially predicts girls‘ and boys‘ trait-state discrepancy in math anxiety. Frontiers in Psychology, 6, 1404. doi:10.3389/fpsyg.2015.01404
Google Scholar CrossrefBirenbaum, M., & Eylath, S. (1994). Who is afraid of statistics? Correlates of statistics anxiety among students of educational sciences. Educational Research, 36, 93-98. doi: 10.1080/0013188940360110
Google Scholar CrossrefBlackwell, L. S., Trzesniewski, K. H., & Dweck, C. S. (2007). Implicit theories of intelligence predict achievement across an adolescent transition: A longitudinal study and an intervention. Child Development, 78, 246-263. doi:10.1111/j.1467-8624.2007. 00995.x
Google Scholar CrossrefBlankenstein, K.R., Flett, G. L., & Watson, M. S. (1992). Coping and academic problem-solving ability in test anxiety. Journal of Clinical Psychology, 48, 37-46.
Google Scholar CrossrefBradley, D. R., & Wygant, C. R. (1998). Male and female differences in anxiety about statistics are not reflected in performance. Psychological Reports, 82, 245-246. doi: 10.2466/pr0.1998.82.1.245
Google Scholar CrossrefBurnette, J. L., O’Boyle, E. H., VanEpps, E. M., Pollack, J. M., & Finkel, E. J. (2013). Mind-sets matter: A meta-analytic review of implicit theories and self-regulation. Psychological Bulletin, 139, 655-701. doi: 10.1037/a0029531
Google Scholar CrossrefCassady, J. C., & Johnson, R. E. (2002). Cognitive test anxiety and academic performance. Contemporary Educational Psychology, 27, 270-295. doi: 10.1006/ceps. 2001.1094
Google Scholar CrossrefChew, P. K. H., & Dillon, D. (2014). Reliability and validity of the Statistical Anxiety Scale among students in Singapore and Australia. Journal of Tropical Psychology, 4(7), 1-7. doi: 10.1017/jtp.2014.7
Google Scholar CrossrefChiesi, F., & Primi, C. (2009). Assessing statistics attitudes among college students: Psychometric properties of the Italian version of the Survey of Attitudes toward Statistics (SATS). Learning and Individual Differences, 19, 309-313. doi: 10.1016/ j.lindif.2008.10.008
Google Scholar CrossrefChiesi, F., & Primi, C. (2010). Cognitive and non-cognitive factors related to students' statistics achievement. Statistics Education Research Journal, 9(1), 6-26.
Google Scholar CrossrefChin, E. C. H., Williams, M. W., Taylor, J. E., & Harvey, S. T. (2017). The influence of negative affect on test anxiety and academic performance: An examination of the tripartite model of emotions. Learning and Individual Differences, 54, 1-8. doi: 10.1016/j.lindif.2017.01.002
Google Scholar CrossrefCruise, 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.
Google Scholar CrossrefCury, F., Da Fonseca, D., Zahn, I., & Elliot, A. (2008). Implicit theories and IQ test performance: A sequential mediational analysis. Journal of Experimental Social Psychology, 44, 783-791. doi: 10.1016/j.jesp.2007.07.003
Google Scholar CrossrefDauphinee, T. L., Schau, C., & Stevens, J. J. (1997). Survey of Attitudes Toward Statistics: Factor structure and factorial invariance for women and men. Structural Equation Modeling, 4, 129-141. doi: 10.1080/10705519709540066
Google Scholar CrossrefDeffenbacher, J. L. (1980). Worry and emotionality in test anxiety. In I. G. Sarason (Ed.), Test anxiety: Theory, research and applications (pp. 111-128). Hillsdale: Erlbaum.
Google Scholar Crossrefde Winter, J. C. F., Dodou, D., & Wieringa, P. A. (2009). Exploratory factor analysis with small sample sizes. Multivariate Behavioral Research, 44, 147-181. doi: 10.1080/ 00273170902794206
Google Scholar CrossrefDweck, C. S., & Leggett, E. L. (1988). A social-cognitive approach to motivation and personality. Psychological Review, 95, 256-273. doi: 10.1037/ 0033-295X.95.2.256
Google Scholar CrossrefDweck, C. S., & Molden, D. C. (2005). Self-theories. Their impact on competence motivation and acquisition. In A. J. Elliot & C. S. Dweck (Eds.), Handbook of competence and motivation (pp. 122-140). New York: Guilford Press.
Google Scholar CrossrefEarp, M. S. (2007). Development and validation of the Statistics Anxiety Measure. University of Denver, College of Education: Dissertation.
Google Scholar CrossrefEccles, J. S., & Wigfield, A. (2002). Motivational beliefs, values, and goals. Annual Review of Psychology, 53, 109-132. doi: 10.1146/annurev.psych.53.100901.135153
Google Scholar CrossrefEdmundson, E. W., Koch, W. R., & Silverman, S. (1993). A facet analysis approach to content and construct validity. Educational and Psychological Measurement, 53, 351-368. doi: 10.1177/0013164493053002005
Google Scholar CrossrefElliot, A. J., & McGregor, H. A. (1999). Test anxiety and the hierarchical model of approach and avoidance achievement motivation. Journal of Personality and Social Psychology, 76, 628-644. doi: 10.1037/0022-3514.76.4.628
Google Scholar CrossrefEmmioǧlu, E. (2011). A structural equation model examining the relationships among mathematics achievement, attitudes toward statistics, and statistics outcomes. Middle East Technical University Ankara, Graduate School of Social Sciences: Doctoral thesis.
Google Scholar CrossrefEmmioǧlu, E., & Capa-Aydin, Y. (2012). Attitudes and achievement in statistics: A meta-analysis study. Statistics Education Research Journal, 11(2), 95-102.
Google Scholar CrossrefFaber, G. (1995). Die Diagnose von Leistungsangst vor schulischen Rechtschreibsituationen: Neue Ergebnisse zu den psychometrischen Eigenschaften und zur Validität einer entsprechenden Kurzskala [Measuring elementary school children’s spelling-specific anxiety: Further psychometric and validation results]. Praxis der Kinderpsychologie und Kinderpsychiatrie, 44, 110-119.
Google Scholar CrossrefFaber, G. (2012a). Elementary school children’s spelling-specific self-beliefs. Longitudinal analyses of their relations to academic achievement, school attitudes, and self-esteem. New York: Nova Science Publishers.
Google Scholar CrossrefFaber, G. (2012b). Measuring self-perceptions of oral narrative competencies and anxiety in the EFL context. Electronic Journal of Research in Educational Psychology, 10, 1343-1382.
Google Scholar CrossrefFinney, 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
Google Scholar CrossrefGalassi, J. P., Frierson, H. T., & Sharer, R. (1981). Behavior of high, moderate, and low test anxious students during an actual test situation. Journal of Consulting and Clinical Psychology, 49, 51-62.
Google Scholar CrossrefGaspard, H., Häfner, I., Parrisius, C., Trautwein, U., & Nagengast, B. (2017). Assessing task values in five subjects during secondary school: Measurement structure and mean level differences across grade level, gender, and academic subject. Contemporary Educational Psychology, 48, 67-84. doi: 10.1016/j.ced psych.2016. 09.003
Google Scholar CrossrefGoetz, T., Frenzel, A. C., Pekrun, R., Hall, N. C., & Lüdtke, O. (2007). Between- and within-domain relations of students’ academic emotions. Journal of Educational Psychology, 99, 715-733. doi: 10.1037/0022-0663.99.4.715
Google Scholar CrossrefGoetz, 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
Google Scholar CrossrefGogol, K., Brunner, M., Preckel, F., Goetz, T., & Martin, R. (2016). Developmental dynamics of general and school-subject-specific components of academic self-concept, academic interest, and academic anxiety. Frontiers in Psychology, 7, doi: 10.3389 %2Ffpsyg.2016.00356
Google Scholar CrossrefGonzález, 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
Google Scholar CrossrefGraham, J. W. (2012). Missing data. Analysis and design. New York: Springer.
Google Scholar CrossrefGreen, J., Martin, A. J., & Marsh, H. W. (2007). Motivation and engagement in English, mathematics and science high school subjects: Towards an understanding of multidimensional domain specificity. Learning and Individual Differences, 17, 269-279. doi: 10.1016/j.lindif.2006.12.003
Google Scholar CrossrefGriffith, J. D., Mathna, B., Sappington, M., Turner, R., Evans, J., Gu, L., Adams, L. T., & Morin, S. (2014). The development and validation of the Statistics Comprehensive Anxiety Response Evaluation. International Journal of Advances in Psychology, 3(2), 21-29. doi: 10.14355/ijap.2014.0302.01
Google Scholar CrossrefGuttman, R., & Greenbaum, C. W. (1998). Facet theory: Its development and current status. European Psychologist, 3, 13-36. doi: 10.1027//1016-9040.3.1.13
Google Scholar CrossrefHagtvet, K., & Benson, J. (1997). The motive to avoid failure and test anxiety responses: Empirical support for integration of two research traditions. Anxiety, Stress, and Coping, 10, 35-57. doi: 10.1080/10615809708249294
Google Scholar CrossrefHaynes, S. N., Richard, D. C. S., & Kubany, E. S. (1995). Content validity in psychological assessment: A functional approach to concepts and methods. Psychological Assessment, 7, 238-247. doi: 10.1037/1040-3590.7.3.238
Google Scholar CrossrefHodapp, V., & Benson, J. (1997). The multidimensionality of test anxiety: A test of different models. Anxiety, Stress, and Coping, 10, 219-244. doi: 10.1080/10615809708 249302
Google Scholar CrossrefHong, E., & Karstensson, L. (2002). Antecedents of state test anxiety. Contemporary Educational Psychology, 27, 348-367. doi: 10.1006/ceps.2001.1095
Google Scholar CrossrefHong, Y.-Y., Chiu, C.-Y., Dweck, C. S., Lin, D. M.-S., & Wan, W. (1999). Implicit theories, attributions, and coping: A meaning system approach. Journal of Personality and Social Psychology, 77, 588-599. doi: 10.1037/0022-3514.77.3.588
Google Scholar CrossrefHox, J. J. (1997). From theoretical concept to survey question. In L. Lyberg, P. Biemer, M. Collins, E. de Leeuw, C. Dippo, N. Schwarz, & D. Trewin (Eds.), Survey measurement and process quality (pp. 47-69). Hoboken: Wiley. doi: 10.1002/978 1118490013.ch2
Google Scholar Crossrefİlhan, M., & Cetin, B. (2013). Mathematics Oriented Implicit Theory of Intelligence Scale: Validity and reliability study. GESJ: Education Science and Psychology, 25, 116-134.
Google Scholar CrossrefKieffer, K. M., & Reese, R. J. (2009). Measurement of test and study worry and emotionality in college students. A psychometric evaluation of the Test and Study Attitudes Inventory. Educational and Psychological Measurement, 69, 303-321. doi: 10.1177/0013164408323231
Google Scholar CrossrefKline, R. B. (2011). Principles and practice of structural equation modeling (3rd. ed.). New York: Guilford Press.
Google Scholar CrossrefKooken, J., Welsh, M. E., McCoach, D. B., Johnston-Wilder, S., & Lee, C. (2016). Development and validation of the Mathematical Resilience Scale. Measurement and Evaluation in Counseling and Development, 49, 217-242. doi: 10.1177/0748175 615596782
Google Scholar CrossrefLalonde, R. N., & Gardner, R. C. (1993). Statistics as a second language? A model for predicting performance in psychology students. Canadian Journal of Behavioural Science, 25, 108-125. doi: 10.1037/h0078792
Google Scholar CrossrefLittle, 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: 10.1080/01621459.1988.10478722
Google Scholar CrossrefMacCallum, R. C., Widaman, K. F., Zhang, S., & Hong, S. (1999). Sample size in factor analysis. Psychological Methods, 4, 84-99. doi: 10.1037/1082-989X.4.1.84
Google Scholar CrossrefMacher, 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.
Google Scholar CrossrefMacher, 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: 10.11 11/j.2044-8279.2012.02081.x
Google Scholar CrossrefMacher, D., Papousek, I., Ruggeri, K., & Paechter, M. (2015). Statistics anxiety and performance: blessings in disguise. Frontiers in Psychology, 6, 1116. doi: 10.3389/ fpsyg.2015.01116
Google Scholar CrossrefMandler, G., & Sarason, S. B. (1952). A study of anxiety and learning. Journal of Abnormal and Social Psychology, 47, 166-173. doi: 10.1037/h0062855
Google Scholar CrossrefMarsh, H. W., Kuyper, H., Seaton, M., Parker, P. D., Morin, A. J. S., Möller, J., & Abduljabbar, A. S. (2014). Dimensional comparison theory: an extension of the internal/ external frame of reference effect on academic self-concept formation. Contemporary Educational Psychology, 39, 326-341. doi: 10.1016/j.cedpsych.20 14.08.003
Google Scholar CrossrefMarsh, H. W., & O’Mara, A. J. (2008). Self-concept is as multidisciplinary as it is multidimensional. A review of theory, measurement, and practice in self-concept research. In H. W. Marsh, R. G. Craven & D. M. McInerney (Eds.), Self-processes, learning, and enabling human potential. Dynamic new approaches (pp. 87-115). Charlotte: Information Age Publishing.
Google Scholar CrossrefMartin, A. J., & Marsh, H. W. (2003). Fear of failure: Friend or foe? Australian Psychologist, 38, 31-38. doi: 10.1080/00050060310001706997
Google Scholar CrossrefMöller, 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.
Google Scholar CrossrefNasser, F. M. (2004). Structural model of the effects of cognitive and affective factors on the achievement of Arabic-speaking pre-service teachers in introductory statistics. Journal of Statistics Education, 12(1), 1-18.
Google Scholar CrossrefNolan, M. M., Beran, T., & Hecker, K. G. (2012). Surveys assessing students‘ attitudes toward statistics: A systematic review of validity and reliability. Statistics Education Research Journal, 12(2), 103-123.
Google Scholar CrossrefOnwuegbuzie, A. J. (2003). Modeling statistics achievement among graduate students. Educational and Psychological Measurement, 63, 1020-1038. doi: 10.1177/0013 164402250989
Google Scholar CrossrefOnwuegbuzie, A. J. (2004). Academic procrastination and statistics anxiety. Assessment and Evaluation in Higher Education, 29, 3-19. doi: 10.1080/0260293042000160 384
Google Scholar CrossrefOnwuegbuzie, 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
Google Scholar CrossrefPapanastasiou, E. C., & Zembylas, M. (2008). Anxiety in undergraduate research method courses: its nature and implications. International Journal of Research and Method in Education, 31, 155-167. doi: 10.1080/17437270802124616
Google Scholar CrossrefPapousek, 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
Google Scholar CrossrefPekrun, 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
Google Scholar CrossrefPekrun, R., Elliot, A. J., & Maier, M. A. (2009). Achievement goals and achievement emotions: Testing a model of their joint relations with academic performance. Journal of Educational Psychology, 101, 115-135. doi: 10.1037/a0013383
Google Scholar CrossrefPekrun, R., Goetz, T., Perry, R. P., Kramer, K., Hochstadt, M., & Molfenter, S. (2004). Beyond test anxiety: Development and validation of the Test Emotions Questionnaire (TEQ). Anxiety, Stress, and Coping, 17, 287-316. doi: 10.1080/106 15800412331303847
Google Scholar CrossrefPerepiczka, M., Chandler, N., & Becerra, M. (2011). Relationship between graduate students' statistics self-efficacy, statistics anxiety, attitude toward statistics, and social support. The Professional Counselor, 1(2), 99-108. doi:10.15241/mpa.1.2.99
Google Scholar CrossrefPomerantz, E. M., Altermatt, E. R., & Saxon, J. L. (2002). Making the grade but feeling distressed. Gender differences in academic performance and internal distress. Journal of Educational Psychology, 94, 396-404. doi: 10.1037/0022-0663.94.2.396
Google Scholar CrossrefPutwain, D. W. (2008). Deconstructing test anxiety. Emotional and Behavioural Difficulties, 13, 141-155. doi: 10.1080/13632750802027713
Google Scholar CrossrefPutwain, D. W., & Symes, W. (2012). Achievment goals as mediators of the relationship between competence beliefs and test anxiety. British Journal of Educational Psychology, 82, 207-224. doi: 10.1111/j.2044-8279.2011.02021.x
Google Scholar CrossrefRost, 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.
Google Scholar CrossrefRost, 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.
Google Scholar CrossrefSarason, 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
Google Scholar CrossrefSchunk, D. H., & Zimmerman, B. J. (2006). Competence and control beliefs: Distinguishing the means and ends. In P. A. Alexander & P. H. Winne (Eds.), Handbook of educational psychology (2nd ed., pp. 349-367). New York: Erlbaum.
Google Scholar CrossrefSchutz, 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
Google Scholar CrossrefSchwarzer, 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.
Google Scholar CrossrefSchwarzer, R., & Jerusalem, M. (1992). Advances in test anxiety theory: A cognitive process approach. In K. A. Hagtvet & T. B. Johnson (Eds.), Advances in test anxiety research. Volume 7 (pp. 2-17). Lisse: Swets and Zeitlinger.
Google Scholar CrossrefSchwarzer, R., & Quast, H.-H. (1985). Multidimensionality of the anxiety experience: Evidence for additional components. In H. M. van der Ploeg, R. Schwarzer & C. D. Spielberger (Eds.), Advances in test anxiety research. Volume 4 (pp. 3-14). Lisse: Swets and Zeitlinger.
Google Scholar CrossrefSelkirk, L. C., Bouchey, H. A., & Eccles, J. S. (2011). Interaction among domain-specific expectancies, values, and gender: Predictors of test anxiety during early adolescence. Journal of Early Adolescence, 31, 361-389. doi: 10.1177/027243161 0363156
Google Scholar CrossrefSesé, A., Jiménez, R., Montano, 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
Google Scholar CrossrefSkaalvik, E. M. (1997). Self-enhancing and self-defeating ego orientation: Relations with task and avoidance orientation, achievement, self-perceptions, and anxiety. Journal of Educational Psychology, 89, 71-81. doi: 10.1037/0022-0663.89.1.71
Google Scholar CrossrefStappert, A. (2017). Die Erfassung impliziter Fähigkeitstheorien von Studierenden im Umgang mit statistischen Anforderungen. Entwicklung, psychometrische Prüfung und vorläufige Validierung eines entsprechenden Befragungsinstruments [Measuring educational science majors‘ implicit theories of statistical competence. Scale development, psychometric properties, and preliminary validation results]. Leibniz University Hannover, Faculty of Humanities (Institute of Educational Psychology): unpublished Master’s thesis.
Google Scholar CrossrefTremblay, 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
Google Scholar CrossrefVanhoof, S., Kuppens, S., Sotos, A. E. C., Verschaffel, L., & Onghena, P. (2011). Measuring statistics attitudes: Structure of the Survey of Attitudes Toward Statistics (SATS-36). Statistics Education Research Journal, 10(1), 35-51.
Google Scholar CrossrefVigil-Colet, A., Lorenzo-Seva, U., & Condon, L. (2008). Development and validation of the Statistical Anxiety Scale. Psicothema, 20, 174-180.
Google Scholar CrossrefWigfield, 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.
Google Scholar CrossrefWilliams, A. (2014). An exploration of preference for numerical information in relation to math self-concept and statistics anxiety in a graduate statistics course. Journal of Statistics Education, 22, 1-16. doi: 10.1080/10691898.2014.11889693
Google Scholar CrossrefWilliams, A. S. (2015). Statistics anxiety and worry: The roles of worry beliefs, negative problem orientation, and cognitive avoidance. Statistics Education Research Journal, 14(2), 53-75.
Google Scholar CrossrefZeidner, 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
Google Scholar CrossrefZeidner, M. (1998). Test anxiety. The state of the art. New York: Plenum.
Google Scholar CrossrefZonnefeld, V. L. (2015). Mindsets, attitudes, and achievement in undergraduate statistics courses. University of South Dakota, Graduate Faculty: Dissertation.
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