SPUR (2020) 4 (1): https://doi.org/10.18833/spur/4/1/5
Data science methods increasingly are utilized to analyze theoretically derived psychological research questions. This article provides a case study of a student-focused research experience that introduced basic data science skills and their utility for psychological research, providing practical learning experiences for students interested in learning computational social science skills. Skills included programming; acquiring, visualizing, and managing data; performing specialized analyses; and building knowledge about open-science practices. Using examples from their teaching experiences, the authors describe how these skills can be incorporated into an active and engaging student learning experience that culminates in computational social science projects and presentations.
More Articles in this Issue
Vignette‐ Nicholas J. Rowland and Matthew J. Spaniol
SPUR (2020) 4 (1): https://doi.org/10.18833/spur/3/3/6- Vignette‐ Elizabeth A. Majka, Stacey L. Raimondi, and Merrilee F. Guenther
SPUR (2020) 4 (1): https://doi.org/10.18833/spur/4/1/9 -
-
- Vignette‐ Caitlin M. McMahon, Kimberly A. Choquette, S. Chantal E. Stieber, and Erin E. Gray
SPUR (2020) 4 (1): https://doi.org/10.18833/spur/4/1/6 -
-
- Vignette‐ Christopher Fuse, Ashley Cannaday, and Whitney Coyle
SPUR (2020) 4 (1): https://doi.org/10.18833/spur/4/1/13 -
- Vignette‐ Sophie Pierszalowski, Greg Heinonen, Bethany Ulman, and Daniel Lรณpez-Cevallos
SPUR (2020) 4 (1): https://doi.org/10.18833/spur/4/1/10
