Examining Motivational Attitudes Toward Statistics and Their Relationship to Performance in Life Science Students-Reference-Cited by-同舟云学术

Examining Motivational Attitudes Toward Statistics and Their Relationship to Performance in Life Science Students

Published:2024-08-22 Issue: Volume: Page:1-12
ISSN:2693-9169
Container-title:Journal of Statistics and Data Science Education
language:en
Short-container-title:Journal of Statistics and Data Science Education

Author:

Kulacki Alexander R.¹,Aikens Melissa L.²

Affiliation:

1. Department of Biology Teaching & Learning, University of Minnesota, Twin Cities, MN

2. Department of Biological Sciences, University of New Hampshire, Durham, NH

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/26939169.2024.2365892

Reference82 articles.

1. American Association for the Advancement of Science [AAAS]. (2011) Vision and Change in Undergraduate Biology Education: A Call to Action Washington DC: AAAS. Available at https://www.aaas.org/sites/default/files/content_files/VC_report.pdf

2. American Statistical Association. (2014) Curriculum Guidelines for Undergraduate Programs in Statistical Science Washington DC: ASA. Available at https://www.amstat.org/education/curriculum-guidelines-for-undergraduate-programs-in-statistical-science-

3. Bandalos, D. L., and Finney, S. J. (2010), “Factor Analysis: Exploratory and Confirmatory,” in The Reviewer’s Guide to Quantitative Methods in the Social Sciences, eds. G. R. Hancock and R. O. Mueller, pp. 98–122, New York: Routledge.

4. Bartoñ K. (2022) MuMIn Multi-Model Inference R package version 1.46.0. Available at https://CRAN.R-project.org/package=MuMIn

5. Understanding the academic motivations of students with a history of reading difficulty: An expectancy-value-cost approach