SOC 331 Applied Quantitative Modeling and Analysis in Social Research (1)
This course trains the student in the logic and procedures of descriptive and inferential statistical analysis as these are applied in social science research. Topics examined include scales of measurement; frequency distributions; data graphing; measures of central tendency and dispersion; sampling distributions; confidence intervals and estimation; hypothesis testing; measures of association; and quantitative modeling using Chi-square, analysis of variance, and linear regression. Students are required to carry out an analysis of sociological data using appropriate methods learned during the term, to organize statistical results appropriately, and to write a summary report of their findings.
- General Education Requirement Fulfillment: Social Sciences
- Prerequisite: SOC 201
- Offering: Annually
- Instructor: Niño, Strawn