Course Descriptions

The Course Descriptions catalog describes all undergraduate and graduate courses offered by Michigan State University. The searches below only return course versions Fall 2000 and forward. Please refer to the Archived Course Descriptions for additional information.

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Course Descriptions: Search Results

SOC 881 Analysis of Social Data I

Description:
Applications of statistical techniques to social science data. Use of multiple regression and SPSS. Interpretation, strengths, and weaknesses of various statistical practices.
Effective Dates:
FS92 - US02

SOC 881 Analysis of Social Data I

Description:
Applications of statistical techniques to social science data. Multiple regression and SPSS. Interpretation, strengths, and weaknesses of various statistical practices.
Effective Dates:
FS02 - FS04

SOC 881 Analysis of Social Data I

Semester:
Fall of every year
Credits:
Total Credits: Credits: 3   Lecture/Recitation/Discussion Hours:2   Lab Hours: 2
Recommended Background:
One course in statistics.
Restrictions:
Open only to graduate students in the College of Social Science.
Description:
Applications of statistical techniques to social science data. Multiple regression and SPSS. Interpretation, strengths, and weaknesses of various statistical practices.
Effective Dates:
SS05 - FS06

SOC 881 Analysis of Social Data I

Semester:
Fall of every year
Credits:
Total Credits: Credits: 3   Lecture/Recitation/Discussion Hours:2   Lab Hours: 2
Recommended Background:
One course in statistics.
Restrictions:
Open to graduate students in the Department of Sociology.
Description:
Applications of statistical techniques to social science data. Multiple regression. SPSS. Interpretation, strengths, and weaknesses of various statistical practices.
Effective Dates:
SS07 - US26

SOC 881 Analysis of Social Data I

Semester:
Fall of every year
Credits:
Total Credits: Credits: 3   Lecture/Recitation/Discussion Hours:2   Lab Hours: 2
Recommended Background:
One course in statistics.
Restrictions:
Open to graduate students in the Department of Sociology.
Description:
Multiple regression. Interpretation, strengths, and weaknesses of various statistical practices. Applications of statistical techniques to social science data, including consideration of sociodemographic characteristics (e.g., race, ethnicity, sex, gender, class, nationality, age, weight/size, disability, sexuality).
Effective Dates:
FS26 - Open