SAGE
SAGE RESEARCH METHODS DATASETS (SRMD)
SRMD is a large collection of hundreds of large-scale social science teaching and research datasets and tools specially engineered to support research training across campus through:
- The supply of teaching datasets designed for hands-on practical teaching of data analysis, data literacy, and data visualization.
- The easy discoverability and re-use of robust, topical and interesting social research data by students doing research projects and dissertations.
- The provision of big data datasets to enable users to train to become data scientists.
Each dataset included in SRMD has been created and developed by leading academics and made available on the platform as excel and word files, enabling easy export into SPSS, R, SAS, NVivo and other data software program.
All datasets are also accompanied by:
- a short description of what the dataset contains and shows;
- a number of visualizations illustrating how the data can and should be analyzed and represented visually, and;
- an explanation of how to use the data to teach different methods of analysis.
Odum staff members have spent 7 years developing materials and tutorials for this project.
Due to our staff’s contributions, SAGE has granted access to this powerful tool to the entire UNC-Chapel Hill community.
- Click to access materials. ONYEN sign-in required.
Use the links listed in the accordion below to discover some of our most popular sets:
Learn to Use Narrative Analysis to Analyze Written Narratives
Learn to Build a Codebook for a Generic Qualitative Study
Learn to Use Basic Grounded Theory with Data From the Southern Oral History Program
Learn to Analyze Data Using Visual Analysis
Learn to Conduct an Oral History Analysis With Interview Data from the Southern Oral History Program
Learn About Multiple Regression in Stata with Data from the Russia Longitudinal Monitoring Survey
Learn to Test for Heteroscedasticity in Stata with Data from the Child Health and Nutrition Survey
Learn to Use Two-Way ANOVA in Stata with Data From the News Coverage Index
Learn About Simple Regression in Stata with Data From the Child Health and Nutrition Survey
Learn About Logistic Regression in R with Data From the American National Election Study 2012
Learn About Ordered Logit in R With Data From the Cooperative Congressional Election Study
Learn About Ordered Probit in R with Data From the Behavioral Risk Factor Surveillance System
Learn About Poisson Regression in R with Data From the Behavioral Risk Factor Surveillance System
Learn About Convolutional Neural Networks in Python with Data From the MNIST Dataset
Learn About Basic Concepts in Text Analysis in Python with Data from How ISIS Uses Twitter Dataset
Learn About PageRank in Python with Data from the Florentine Family Dataset
Learn About the Multivariate Hawkes Process in Python with Data From the DJIA 30 Stock Dataset
Learn About Paired Samples T-Test in SPSS With Data From the World Bank Open Data
Learn About Partial Correlation in SPSS with Data from Fisher’s Iris Dataset
Learn About Weighting Data in SPSS with Data from the General Social Survey
Learn About the Phi Coefficient in SPSS With Data From the Southern Opinion Research Survey
Learn to Use Two-Way ANOVA is SPSS with Data From the News Coverage Index