Linear Regression Analysis in the Social Sciences (Houston, TX)

Instructor(s):

  • Jim Granato, University of Houston
  • Sunny Wong, University of Houston

This course is designed for participants to develop quantitative research skills with applications to social science topics. Participants will gain an overview of research design, data management, and statistical analysis and interpretations of research findings. The course will be centered around several main topics covering the basic analysis of ordinary least squares (OLS), the technique of estimating bivariate and multivariate regression models, the overall fitness of a regression equation, and the hypothesis and diagnostic testings, and more. This course takes the "learning by doing" approach by discussing the major themes in regression analysis with detailed examples, which show how the subject works in practice using Stata.

Prerequisites: Algebra and basic statistics

Software: Stata

Fee: Members = $1700; Non-members = $3200

Tags: regression, linear regression, OLS, ordinary least squares

Course Sections

Section 1

Location: University of Houston -- Houston, Texas

Date(s): May 14 - May 18

Time: 9:00 AM - 5:00 PM

Instructor(s):

  • Jim Granato, University of Houston
  • Sunny Wong, University of Houston

Syllabus: