Theories and findings from the social and behavioral sciences will be explored. Continuation of SURV 670. Credit according to time scheduled and organization of the course. Organized as a lecture series on specialized advanced topics in survey methodology. Computer software that takes account of complex sample design in estimation.
Research designs from which causal inferences are sought.
Classical experimental design will be contrasted with quasi-experiments, evaluation studies, and other observational study designs. Emphasis placed on how design features impact the nature of statistical estimation and inference from the designs. Issues of blocking, balancing, repeated measures, control strategies, etc. Total error structure of sample survey data, reviewing current research findings on the magnitudes of different error sources, design features that affect their magnitudes, and interrelationships among the errors. Coverage, nonresponse, sampling, measurement, and postsurvey processing errors.