G. David Garson
G. David Garson: Biographical Sketch
G. David Garson is a full professor in the Department of Public Administration, School of Public and International Affairs, North Carolina State University, where he teaches courses on advanced research methodology. He was the founder and longtime editor of the Social Science Computer Review and is on the editorial board of four other journals.
Prof. Garson is author of Data Analytics for Social Sciences: Applications in R (Routledge, forthcoming Nov. 2021 with a publishing year of 2022); Multilevel Modeling in the Social Sciences: Applications in SPSS, SAS, Stata, R, & HLM 7 (Sage, 2020]); Missing Values Analysis & Data Imputation (2019); Instrumental Variables & 2SLS Regression (2018), Research Design (2018, with Rudolfo Sarsfield), Mediation & Moderation: Partial Correlation and Regression Approaches (2017), Validity and Reliability (2016), Logistic Regression (2016), Survey Research and Sampling (2016), Explaining Human Behavior: Social & Organizational Theories (2015), GLM Multivariate, MANOVA, & Canonical Correlation (2015); Structural Equation Modeling (2015), Multiple Regression (2014), Cluster Analysis (2014), Path Analysis (2014), Partial Least Squares: Structural Equation and Regression Models (2014), Neural Network Models (2014), editor of and contributor to Hierarchical Linear Modeling: Guide and Applications (2013), coauthor of Public Information Management and E-Government: Policy and Issues (2013); and Bush Information Policy (2008), Modern Public Information Technology Systems (2007), and author of Public Information Technology and E-Governance: Managing the Virtual State (2006), and is author, coauthor, editor, or coeditor of over two dozen other books and author or coauthor of over 50 articles.
Professor Garson received his undergraduate degree in political science from Princeton University (1965) and his doctoral degree in government from Harvard University (1969). He is currently completing his next book, “Factor Analysis and Dimension Reduction in R”.
G. David Garson
Professor of Public Administration
School of Public and International Affairs
North Carolina State University Box 8102
Raleigh, NC 27695-8102
Email or call for appointment
Teaching and Research Interests
Syllabi available at these course websites:
- PA 765-766: http://faculty.chass.ncsu.edu/garson/PA765/index.htm
- PA 803: http://faculty.chass.ncsu.edu/garson/PA803/index.htm
By appointment or Zoom: call 919-616-2273 (evenings and weekends ok)
Earlier in my career, I published books, anthologies, and articles on public information management, but for the last several years I have concentrated on multivariate quantitative and qualitative analysis, with titles cited above. I also author and distribute monographs and books worldwide through Statistical Associates. See http://www.statisticalassociates.com/booklist.htm.
Data Analytics for Social Sciences: Applications in R (Routledge, forthcoming Nov. 2021 with a publishing year of 2022)
Factor Analysis and Dimension Reduction in R, forthcoming.
Ph.D. Government Harvard University 1969
Area(s) of Expertise
Primary: Data analytics, multivariate analysis. Secondary: Qualitative research. Tertiary: GIS