Learning While Learning: Psychology Case Studies for Teaching Regression
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| Vydáno v: | Journal of Statistics and Data Science Education vol. 33, no. 2 (2025), p. 223 |
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| Další autoři: | , , |
| Vydáno: |
Taylor & Francis Ltd.
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| Témata: | |
| On-line přístup: | Citation/Abstract Full Text - PDF |
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MARC
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| 022 | |a 2693-9169 | ||
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| 024 | 7 | |a 10.1080/26939169.2024.2441706 |2 doi | |
| 035 | |a 3184854144 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 100 | 1 | |a Evans, Ciaran |u Department of Statistical Sciences, Wake Forest University, Winston-Salem, NC | |
| 245 | 1 | |a Learning While Learning: Psychology Case Studies for Teaching Regression | |
| 260 | |b Taylor & Francis Ltd. |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a In this article, we explore the use of two published datasets for teaching a wide range of students about regression models, with a particular focus on interaction terms. The two datasets come from recent psychology studies on beliefs about poverty and welfare, and about the dynamics of groups projects. Both datasets (and their original research papers) are accessible to students, and because of their context, students can learn about data collection, measurement, and the use of statistics when studying complex social topics, while using the data to learn about regression analysis. We have used these data for a range of in-class activities, journal paper discussions, exams, and extended projects, at the undergraduate, master’s, and doctoral levels. Supplementary materials for this article are available online. | |
| 653 | |a White people | ||
| 653 | |a Teaching | ||
| 653 | |a Psychology | ||
| 653 | |a Poverty | ||
| 653 | |a Datasets | ||
| 653 | |a Regression analysis | ||
| 653 | |a Science education | ||
| 653 | |a Generalized linear models | ||
| 653 | |a College students | ||
| 653 | |a Public assistance programs | ||
| 653 | |a Data collection | ||
| 653 | |a Testosterone | ||
| 653 | |a Data science | ||
| 653 | |a Race | ||
| 653 | |a Welfare | ||
| 653 | |a Learning | ||
| 653 | |a Case studies | ||
| 653 | |a Undergraduate Students | ||
| 653 | |a Welfare Recipients | ||
| 653 | |a Computer Science Education | ||
| 653 | |a Whites | ||
| 653 | |a Beliefs | ||
| 653 | |a Mathematics Instruction | ||
| 653 | |a School Policy | ||
| 653 | |a Data Analysis | ||
| 653 | |a Science Instruction | ||
| 653 | |a Statistical Analysis | ||
| 653 | |a Statistical Data | ||
| 653 | |a Introductory Courses | ||
| 653 | |a College Science | ||
| 653 | |a Learner Engagement | ||
| 653 | |a Regression (Statistics) | ||
| 653 | |a Humanization | ||
| 653 | |a Class Activities | ||
| 700 | 1 | |a Reinhart, Alex |u Department of Statistics & Data Science, Carnegie Mellon University, Pittsburgh, PA | |
| 700 | 1 | |a Cooley, Erin |u Department of Psychological and Brain Sciences, Colgate University, Hamilton, NY | |
| 700 | 1 | |a Cipolli, William |u Department of Mathematics, Colgate University, Hamilton, NY | |
| 773 | 0 | |t Journal of Statistics and Data Science Education |g vol. 33, no. 2 (2025), p. 223 | |
| 786 | 0 | |d ProQuest |t Research Library | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3184854144/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3184854144/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch |