POL 2156 Study Guide - Quiz Guide: Stratified Sampling, Sampling Error, Sampling Frame

• School: University of Ottawa
• Department: Political Science
• Course: POL 2156
• Professor: Stephanie Mullen

Document Summary

Three factors for identifying a population to sample: Can provide accurate estimates within set parameters we are interested in the population, Less data collection/entry sampling is a means to this end. Representativeness of the sample can be affected by: The method by which the sample is chosen. Sample size: larger sample sizes represent more accurately than smaller ones. To determine effective sample size we must look at: The homogeneity of the sample how similar a population is in regards to the variable of interest. The number of variables to study the more complex our number of variables and relationships, the larger a sample size needed. Also, if looking at race specifically we might need to skew our samples in a way which doesn"t represent percentages in the actual population. The desired degree of accuracy the researcher can state a margin of error they are willing to accept. The method of random sampling used simple random sample, stratified sample, cluster.