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

EPSY 5245
2014

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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).  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 Presentations ASSIGNMENTS & Data READINGS
2014 Syllabus   Brief Introductions to Factor Analysis
  TIMSS Student Data Excel Version A Primer on Factor Analysis (Newsom)
  TIMSS Student Data SPSS File Overview of Factor Analysis (DeCoster)
  Student Variable List Factor Analysis Resources (Neill)
  TIMSS Teacher Data SPSS File Background on Cluster Analysis
  Teacher Variable List Cluster Analysis I Cluster Analysis II
  Other Survey Data Borgen 1987 Trigwell 1999
     
Presentation 1a: Graphical Displays Assignment 1 SPSS Survey Data Analysis
Presentation 1b: Hypothesis Testing   SPSS Complex Samples
Using Numbers in APA Style Chi-Square Example Lane & Sandor (Graphs)
Clustered Bar Charts

 

Belia et al. (Confidence intervals)
     
Presentation 2: Multivariate Methods Assignment 2 Dowd & Duggan (Complex samples)
Multivariate Examples [Archaeology spss]  
Effect-Size Computation [Aggression spss]  
     
Presentation 3: IRT Assignment 3_IRT Bode (Rasch models)
  Liking Science Winsteps Reeve & Fayer (IRT)
Getting Started with jMetrik
Download Version 2.1
jMetrik Liking Science jMetrik Zickar (Intro to IRT)
     
Presentation 4: GLM - HLM Complete assignments Goldstein (Multilevel data)
HLM Example    
Ranking data in SPSS [Breakfast spss]  
     
Presentation 5: Reporting & Ethics   AERA REPORTING STANDARDS
    AERA ETHICAL STANDARDS
    APA Ethical Standards
    AUTHORSHIP
    Tsikriktsis (Missing data)
     

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This website was last updated on September 6, 2015 .

2014 by Michael C. Rodriguez