Book chapter
The Quantitative Methods Homework Unicorn: Providing Scalable yet Individual Feedback on Analysis Results and Interpretation
Teaching Statistics and Quantitative Methods in the 21st Century, pp.125-139
Routledge, Second edition
2026
DOI: 10.4324/9781032684390-10
Abstract
In many advanced courses on quantitative methods, the primary goal is to prepare students to solve the data analytic problems they are likely to encounter in research: to determine the appropriate statistical model needed to answer a given question, write the computer code needed to estimate the model, locate the answers within the program output provided, and then interpret the results in answering the research question. In helping students to navigate these distinct steps in conducting meaningful quantitative analyses, instructors may encounter many potential barriers. Some barriers are inherent to the students whose needs instructors are trying to meet, including their anxiety about mathematics and coding, or their lack of motivation for learning the methods in the first place. Other barriers reflect challenges for the instructor in meeting students' differing needs, such as the difficulty in engaging all of one's students simultaneously given differing background levels of preparation, or in curating examples that can be understandable and meaningful to students from many different areas of science.
Details
- Title: Subtitle
- The Quantitative Methods Homework Unicorn: Providing Scalable yet Individual Feedback on Analysis Results and Interpretation
- Creators
- Lesa Hoffman - University of IowaJonathan Templin - University of IowaDavid DeWester - Meazure Learning
- Contributors
- Joseph Lee Rodgers (Editor)
- Resource Type
- Book chapter
- Publication Details
- Teaching Statistics and Quantitative Methods in the 21st Century, pp.125-139
- Edition
- Second edition
- DOI
- 10.4324/9781032684390-10
- Publisher
- Routledge; New York, NY
- Alternative title
- The Quantitative Methods Homework Unicorn
- Language
- English
- Date published
- 2026
- Academic Unit
- Psychological and Quantitative Foundations
- Record Identifier
- 9985093883502771
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