Indiana University Bloomington

Sociology S554
Statistical Techniques In Sociology I: Continuous Dependent Variables

Contact: Patricia McManus (pmcmanus@indiana.edu)
Offered: Spring, Every Year
Capacity: 25
Sequence: s558
Pre-Requisites: Undergraduate course in statistics
Algebra Required: no
Calculus Required: concepts
Contact Person for Authorization: yes, contacting graduate secretary in Sociology or Instructor in Sociology
Instructor: Patricia McManus
Days Per Week Offered: Two lectures, two computer labs
Recommended follow-up classes: S650
Syllabus: No Syllabus Avaliable
Keywords: linear regression; continuous outcomes; least squares
Description: This is the first semester of the two-course sequence in social statistics required of graduate students in Sociology. This course explores in detail the general linear model for continuous dependent variables. In addition to laying foundations for social science research, this course introduces students to the use of computerized statistical analysis using the software program Stata.
Books: lectures notes; Jeffrey Wooldridge, Introductory Econometrics
Substantive Orientation: Social sciences; non-experimental
Applied/Theoretical: applied
Software: Stata
How Software is Used: data analysis
Problem Sets: yes
Data Analysis: yes, as part of assignments
Presentation: informal presentations
Exams: quizzes
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