This course is an advanced graduate seminar covering the principles and practice of survey research design for internet, mail, and mixed-mode surveys. Throughout the course, emphasis is placed on reducing coverage, sampling, nonresponse, and measurement errors. Also covered in the course are probability sampling methods, including simple random sampling, stratified random sampling, systematic sampling, cluster sampling, and two-stage cluster sampling for means, proportions, and totals. Students will learn the principles and practice of developing survey objectives, designing survey research studies that account for and reduce sources of error, designing appropriate sampling strategies, assessing the reliability and validity of self-administered questionnaires and interview protocols, administering surveys, and analyzing and reporting results of survey research.

Course Syllabus PDF

Instructor

Dr. Chris L. S. Coryn

Teaching Assistant

Kristin A. Hobson

Required Textbooks

Dillman, D. A., Smyth, J. D., & Christian, L. M. (2009). Internet, mail, and mixed-mode surveys: The tailored design method (3^rd ed.). Hoboken, NJ: Wiley.

Scheaffer, R. L., Mendenhall III, W., Ott, R. L., & Gerow, K. G. (2012). Elementary survey sampling (7^th ed.). Belmont, CA: Thompson.

Lecture #1 PPTX

Lecture #2 PPTX

Lecture #3 PPTX

Lecture #4 PPTX

Lecture #5 PPTX

Lecture #6 PPTX

Lecture #7 PPTX

Lecture #8 PPTX

Lecture #9 PPTX

Data Sets and Statistical Tools

Sample budget XLSX

Homework #1 data set XLSX

Confidence intervals XLS

Simple random sampling (Means) XLS

Simple random sampling (Proportions) XLS

Simple random sampling (Homework #1) XLS

Stratified sampling (Homework #2) XLS

Cluster sampling (Homework #3) XLS

Confidence intervals, confidence levels, and margin of error PDF

Greek Alphabet used for Statistical Notation PDF

PEMDAS (Order of Mathematical Operations) PDF

Stratified Sampling Guide PDF

Case Studies

Case Study #1 PDF

Case Study #2 PDF

Case Study #3 PDF