COMM 101 Study Guide - Midterm Guide: Simple Random Sample, Statistic, Type I And Type Ii Errors
Document Summary
Lecture # 12: principles of sample design: can we represent the many with a. Involves an enumeration of a population: it is costly, it is time consuming. Involves a selection of a subset of a population in order to draw inferences about the population. Sampling large populations is far less costly and time consuming. Sampling allows a researcher to devote more resources to the collection of more data (variables), the reduction of error in measurement (reliability and validity), and better coverage of the units of analysis. The set of elements drawn from a sample frame. Population: the set of all relevant units of analysis. Sample frame: a list of all available elements in the population. A sample design should: involve a probability method. Every element has known non-zero probability of a selection: be implemented in a way that produces high coverage. Complete coverage: a list of all elements in the population. Relevant coverage: does not contain extraneous elements.
