An Evaluation of College Students' Perceptions of Statisticians. Issue 2 (4th May 2022)
- Record Type:
- Journal Article
- Title:
- An Evaluation of College Students' Perceptions of Statisticians. Issue 2 (4th May 2022)
- Main Title:
- An Evaluation of College Students' Perceptions of Statisticians
- Authors:
- Taasoobshirazi, Gita
Wagner, Madeleine
Brown, Austin
Copeland, Colene - Abstract:
- Abstract: The widely used Draw a Scientist Test was revised to focus on statistics and 110 Elementary Statistics students were asked to draw a statistician. In addition, to better understand students' drawings and have some relative comparison, 173 College Algebra students were asked to draw a mathematician. A detailed analysis of students' images and students' demographic information was conducted using descriptive statistics, categorical data analysis, logistic regressions, and hierarchical cluster analysis. Results showed that students tend to perceive statisticians and mathematicians as primarily White and male. However, female students were more likely than male students to draw a female statistician and mathematician. Two themed clusters emerged from the hierarchical cluster analysis for both the math and statistics students. We discuss the implications of the results for teaching and future research.
- Is Part Of:
- Journal of Statistics and Data Science Education. Volume 30:Issue 2(2022)
- Journal:
- Journal of Statistics and Data Science Education
- Issue:
- Volume 30:Issue 2(2022)
- Issue Display:
- Volume 30, Issue 2 (2022)
- Year:
- 2022
- Volume:
- 30
- Issue:
- 2
- Issue Sort Value:
- 2022-0030-0002-0000
- Page Start:
- 138
- Page End:
- 153
- Publication Date:
- 2022-05-04
- Subjects:
- Draw a mathematician -- Draw a scientist -- Draw a statistician -- Gender differences -- Statistics -- STEM
- DOI:
- 10.1080/26939169.2022.2058655 ↗
- Languages:
- English
- ISSNs:
- 2693-9169
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 22581.xml