Masdering attitude research in statistics and data science education: Instruments for measuring students, instructors, and the learning environment
DOI:
https://doi.org/10.52041/iase2023.406Abstract
Research about students’ affective outcomes (such as attitudes) in statistics courses has proliferated over the past three decades, but questions about the impact of instructors and the learning environment on student attitudes remain open. In data science education, research about students’ attitudes is nascent. In many statistics education studies, developing items about individual and course characteristics receives less attention than developing other aspects of the study. Without a reliable way to measure characteristics of individuals and courses we cannot identify barriers to student success in statistics and data science–much less dismantle those barriers. This paper describes the development process that the Motivational Attitudes in Statistics and Data Science Education Research (MASDER) team has used for items measuring individual characteristics to be used across the family of instruments. Further work – including some results from a large data collection in the United States – will be presented at the conference.References
Brown, A. (2022, June 7). About 5% of young adults in the U.S. say their gender is different from their sex assigned at birth. Pew Research Center. https://pewrsr.ch/3Qi2Ejd
Chance, B., Tintle, N., Reynolds, S., Patel, A., Chan, K., & Leader, S. (2022). Student performance in curricula centered on simulation-based inference. Statistics Education Research Journal, 21(3), 4. https://doi.org/10.52041/serj.v21i3.6
Committee on Measuring Sex, Gender Identity, and Sexual Orientation, Committee on National Statistics, Division of Behavioral and Social Sciences and Education, & National Academies of Sciences, Engineering, and Medicine. (2022). Measuring Sex, Gender Identity, and Sexual Orientation (N. Bates, M. Chin, & T. Becker, Eds.; p. 26424). National Academies Press.
Hilton, S. C., Schau, C., & Olsen, J. A. (2004). Survey of Attitudes Toward Statistics: Factor Structure Invariance by Gender and by Administration Time. Structural Equation Modeling: A Multidisciplinary Journal, 11(1), 92–109. https://doi.org/10.1207/S15328007SEM1101_7
Ladson-Billings, G. (2006). From the Achievement Gap to the Education Debt: Understanding Achievement in U.S. Schools. Educational Researcher, 35(7), 3–12.
Lesser, L. M., & Winsor, M. S. (2009). English language learners in introductory statistics: Lessons learned from an exploratory case study of two pre-service teachers. Statistics Education Research Journal, 8(2), 5–32.
National Center for Education Statistics. (2020). The Classification of Instructional Programs. Institute of Education Sciences. https://nces.ed.gov/ipeds/cipcode/default.aspx?y=56
Rambachan, A. (2018). Overcoming the Racial Hierarchy: The History and Medical Consequences of “Caucasian.” Journal of Racial and Ethnic Health Disparities, 5(5), 907–912.
Ramirez, C., Schau, C., & Emmioğlu, E. (2012). The Importance of Attitudes in Statistics Education. Statistics Education Research Journal, 11(2), 57–71.
Schau, C. (2003). Survey of Attitudes Toward Statistics (SATS-36). http://evaluationandstatistics.com/
Sharma, S. (2019). Language Challenges and Strategies for English Language Learners in Statistics Education: An Overview of Research in This Field. Education Quarterly Reviews, 2(3), 651–665. https://doi.org/10.31014/aior.1993.02.03.96
Spiel, K., Leuven, K., & Haimson, O. L. (2019). How to Do Better with Gender on Surveys: A Guide for HCI Researchers. Interactions, 26(5), 62–65. https://doi.org/10.1145/3338283
United States Census Bureau. (2022, June 9). Research to Improve Data on Race and Ethnicity. Census.Gov. https://www.census.gov/about/our-research/race-ethnicity.html
Whitaker, D., Unfried, A., & Bond, M. (2019). Design and validation arguments for the Student Survey of Motivational Attitudes toward Statistics (S-SOMAS) instrument. In J. D. Bostic, E. E. Krupa, & J. C. Shih (Eds.), Assessment in Mathematics Education Contexts: Theoretical Frameworks and New Directions (1st ed., pp. 120–146). Routledge.
Whitaker, D., Unfried, A., & Bond, M. E. (2022). Challenges associated with measuring attitudes using the SATS family of instruments. Statistics Education Research Journal, 21(1), Article 4. https://doi.org/10.52041/serj.v21i1.88
Wu, H., Garza, E., & Guzman, N. (2015). International Student’s Challenge and Adjustment to College. Education Research International, 2015, 1–9. https://doi.org/10.1155/2015/202753
