Development of the measure of assessment self-efficacy (MASE) for quizzes and exams

References

• Bandura, A. (1997). Self-efficacy: The exercise of control. W.H. Freeman.
   Google Scholar
• Bandura, A. (2006). Guide for constructing self-efficacy scales. In F. Pajares & T. Urdan (Eds.), Self-Efficacy Beliefs of Adolescents (pp. 307–337). Information Age Publishing.
   Google Scholar
• Bandura, A. (2010). Self-efficacy. In I. B. Weiner & W. E. Craighead (Eds.), The Corsini Encyclopedia of Psychology (Vol. 4, pp. 1–3). Wiley. https://doi.org/10.1002/9780470479216.corpsy0836
   Google Scholar
• Chen, X. (2013). STEM attrition: College students’ paths into and out of STEM fields (NCES 2014-001). National Center for Education Statistics, Institute of Education Sciences, U.S. Department of Education.
   Google Scholar
• Cheung, G. W., & Rensvold, R. B. (2002). Evaluating goodness-of-fit indexes for testing measurement invariance. Structural Equation Modeling, 9(2), 233–255. https://doi.org/10.1207/S15328007SEM0902_5
   Web of Science ®Google Scholar
• Coohey, C., & Cummings, S. P. (2019). Evaluation of an online group intervention to improve test-taking self-efficacy and reduce licensure test anxiety. Journal of Social Work Education, 55(2), 376–388. https://doi.org/10.1080/10437797.2018.1520668
   Web of Science ®Google Scholar
• Dash, G., & Paul, J. (2021). CB-SEM vs PLS-SEM methods for research in social sciences and technology forecasting. Technological Forecasting & Social Change, 173, 121092. https://doi.org/10.1016/j.techfore.2021.121092
   Web of Science ®Google Scholar
• Ferla, J., Valcke, M., & Cai, Y. (2009). Academic self-efficacy and academic self-concept: Reconsidering structural relationships. Learning and Individual Differences, 19(4), 499–505. https://doi.org/10.1016/j.lindif.2009.05.004
   Web of Science ®Google Scholar
• Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104
   Web of Science ®Google Scholar
• Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A primer on partial least squares structural equation modeling (PLS-SEM) (Third ed.). Sage Publishing. https://doi.org/10.1007/978-3-030-80519-7
   Google Scholar
• Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
   Web of Science ®Google Scholar
• Kenny, D. A., Kaniskan, B., & McCoach, D. B. (2015). The performance of RMSEA in models with small degrees of freedom. Sociological Methods & Research, 44(3), 486–507. https://doi.org/10.1177/0049124114543236
   Web of Science ®Google Scholar
• Luo, W., Ng, P. T., Lee, K., & Aye, K. M. (2016). Self-Efficacy, value, and achievement emotions as mediators between parenting practice and homework behavior: A control-value theory perspective. Learning and Individual Differences, 50, 275–282. https://doi.org/10.1016/j.lindif.2016.07.017
   Web of Science ®Google Scholar
• MacCallum, R. C., Browne, M. W., & Sugawara, H. M. (1996). Power analysis and determination of sample size for covariance structure modeling. Psychological methods, 1(2), 130–149. https://doi.org/10.1037/1082-989X.1.2.130
   Web of Science ®Google Scholar
• Marsh, H. W., Pekrun, R., Parker, P. D., Murayama, K., Guo, J., Dicke, T., & Arens, A. K. (2019). The murky distinction between self-concept and self-efficacy: Beware of lurking jingle-jangle fallacies. Journal of Educational Psychology, 111(2), 331–353. https://doi.org/10.1037/edu0000281
   Web of Science ®Google Scholar
• Ma, X., & Willms, J. D. (1999). Dropping out of advanced mathematics: How much do students and schools contribute to the problem? Educational Evaluation and Policy Analysis, 21(4), 365–383. https://doi.org/10.3102/01623737021004365
   Web of Science ®Google Scholar
• Nielsen, T., Makransky, G., Vang, M. L., & Dammeyer, J. (2017). How specific is specific self-efficacy? A construct validity study using Rasch measurement models. Studies in Educational Evaluation, 53, 87–97. https://doi.org/10.1016/j.stueduc.2017.04.003
   Web of Science ®Google Scholar
• Nielsen, I. L., & Moore, K. A. (2003). Psychometric data on the mathematics self-efficacy scale. Educational and Psychological Measurement, 63(1), 128–138. https://doi.org/10.1177/0013164402239321
   Web of Science ®Google Scholar
• Pajares, F., & Graham, L. (1999). Self-efficacy, motivation constructs, and mathematics performance of entering middle school students. Contemporary Educational Psychology, 24(2), 124–139. https://doi.org/10.1006/ceps.1998.0991
   PubMed Web of Science ®Google Scholar
• Pekrun, R., Goetz, T., Frenzel, A. C., Barchfeld, P., & Perry, R. P. (2011). Measuring emotions in students’ learning and performance: The Achievement Emotions Questionnaire (AEQ). Contemporary Educational Psychology, 36(1), 36–48. https://doi.org/10.1016/j.cedpsych.2010.10.002
   Web of Science ®Google Scholar
• Pekrun, 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 & Coping, 17(3), 287–316. https://doi.org/10.1080/10615800412331303847
   Web of Science ®Google Scholar
• Pekrun, R., & Stephens, E. J. (2010). Achievement emotions in higher education. In J. C. Smart (Ed.), Higher education: Handbook of theory and research (Vol. 25, pp. 257–306). Springer. https://doi.org/10.1007/978-90-481-8598-6_7
   Google Scholar
• Pietsch, J., Walker, R., & Chapman, E. (2003). The relationship among self-concept, self-efficacy, and performance in mathematics during secondary school. Journal of Educational Psychology, 95(3), 589–603. https://doi.org/10.1037/0022-0663.95.3.589
   Web of Science ®Google Scholar
• Pintrich, P. R., Smith, D., Duncan, T., & McKeachie, W. J. (1991). A manual for the use of the motivated strategies for learning questionnaire (MSLQ). Technical Report No. 91-8-004. The Regents of The University of Michigan.
   Google Scholar
• Richardson, M., Abraham, C., & Bond, R. (2012). Psychological correlates of university students’ academic performance: A systematic review and meta-analysis. Psychological Bulletin, 138(2), 353–387. https://doi.org/10.1037/a0026838
   PubMed Web of Science ®Google Scholar
• Rönkkö, M., & Cho, E. (2020). An updated guideline for assessing discriminant validity. Organizational Research Methods, 25(1), 6–14. https://doi.org/10.1177/1094428120968614
   Web of Science ®Google Scholar
• Schermelleh-Engel, K., Moosbrugger, H., & Müller, H. (2003). Evaluating the fit of structural equation models: Tests of significance and descriptive goodness-of-fit measures. Methods of Psychological Research Online, 8(2), 23–74.
   Google Scholar
• Taber, K. S. (2017). The use of Cronbach’s alpha when developing and reporting research instruments in science education. Research in Science Education, 48(6), 1273–1296. https://doi.org/10.1007/s11165-016-9602-2
   Web of Science ®Google Scholar
• Ullman, J. B., & Bentler, P. M. (2003). Structural equation modelling. In I. B. Weiner (Ed.), Handbook of Psychology (pp. 607–634). John Wiley & Sons.
   Google Scholar
• Usher, E. L., & Pajares, F. (2009). Sources of self-efficacy in mathematics: A validation study. Contemporary Educational Psychology, 34(1), 89–101. https://doi.org/10.1016/j.cedpsych.2008.09.002
   Web of Science ®Google Scholar
• Zacharopoulos, G., Sella, F., & Kadosh, R. C. (2021). The impact of a lack of mathematical education on brain development and future attainment. Proceedings of the National Academy of Sciences, 118(24), 1. https://doi.org/10.1073/pnas.2013155118
   Web of Science ®Google Scholar
• Zimmerman, B. J. (2000). Self-Efficacy: An essential motive to learn. Contemporary Educational Psychology, 25(1), 82–91. https://doi.org/10.1006/ceps.1999.1016
   PubMed Web of Science ®Google Scholar