Advanced Survey Data Analysis for Categorical & Rating Scale Data
Michael C. Rodriguez

EPSY 5245
2011

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Goldie

Goal:

This course will enable students to understand the principles and methods of survey data analysis.  It is designed as an extension of the Survey Design course (EPSY 5244), as well as the statistics course which introduces ordinal data analysis (EPSY 5261).  Students will engage in survey data analysis exercises, use real data from several large survey programs, and review current literature on survey data analysis.

 

Students will be able to:

  • Understand the unique characteristics of survey data;
  • Analyze ordinal and nominal data in appropriate ways, including multivariate techniques;
  • Produce appropriate graphical displays of survey data;
  • Interpret results from survey data analyses appropriately;
  • Develop reasonable and useful analysis plans for future survey projects;
  • Identify appropriate and inappropriate uses and interpretations of survey data analysis results.

SYLLABUS & Class Materials READINGS
2011 Syllabus    
  Bode Brief Introductions to Factor Analysis
TIMSS Student Data SPSS File Dowd & Duggan A Primer on Factor Analysis (Newsom)
Student Variable List Goldstein Overview of Factor Analysis (DeCoster)
TIMSS Teacher Data SPSS File Reeve & Fayer Factor Analysis Resources (Neill)
Teacher Variable List Tsikriktsis  
  Lane & Sandor Background on Cluster Analysis
TIMSS Student Data Excel Version   Cluster Analysis I
  SPSS Survey Data Cluster Analysis II
Liking Science Commands SPSS Complex Samples  
Ministeps   Introduction to IRT by Zickar
     

Assignment 1

Liking Science DIF (Bias) Example  
Assignment 2 Command File AERA REPORTING STANDARDS
Assignment 3 Output AERA ETHICAL STANDARDS

 

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This website was last updated on April 14, 2011 .
© 2011 by Michael C. Rodriguez