865. Survey and Design Analysis (3 credits)
Basic issues related to the design and analysis of sample surveys. The basics of questionnaire construction, sampling, data collection, analysis and data presentation.
816. Principles of Survey Analysis (3 credits)
Introduction to the basic principles of causality and inductive logic in contemporary social and behavioral science. One, two, and
multi-way layouts in analysis of variance, fixed effects models, and linear regression in several variables; the Gauss-Markov
Theorem; multiple regression analysis; and basic principles of experimental and quasi-experimental designs.
818. Data Collection Methods (3 credits)
Effects of various data collection methods on survey errors. The strengths, weaknesses, and challenges of data collection modes and
mixed-mode methods. Processes underlying data collection and prctical challenges that arise with each mode; coverage error;
nonresponse error; interviewer effects and training; timing; and mode effects.
819. Applied Sampling (3 credits)
Design of probability samples, sampling populations of humans and unique challenges posed by such populations, restricted by cost and
available sampling frames. Simple random sampling, stratification, cluster sampling, systematic sampling, multistage sampling, and
probability proportional to size sampling, area probability sampling, and telephone samples.
947. Questionnaire Design (PSYC/SOCI 947) (3 credits)
Design of questionnaries for survey research and the theoretical and practical issues arising from them. Selection of appropriate
measurement techniques for assessing opinions, past behaviors and events, and factual material.