SCS 2150 Lecture Notes - Lecture 22: Civil Society, Convenience Sampling, Content Analysis

• School: University of Ottawa
• Department: Social Sciences
• Course: SCS 2150
• Professor: Hope Mac Lean

Document Summary

Why sample: factors include, cost (time and money, quality (best data possible given constraints) Random selection methods: flip a coin, draw from hat, table of random numbers. 4 types of probability sample: simple random sample, each element has the same probability of being selected, sampling frame: list of elements that sample will be selected from, systematic sample. Multi-stage cluster sampling: used for large populations, no adequate sampling frame, elements are geographically dispersed, select clusters (groups, then select subunits within groups. Sampling error: estimate of the error that occurs because there is a difference between the characteristics of the sample group and the total population, virtually impossible to eliminate. Sample size: making the sample as large as possible helps to minimize sampling error. Response: the response rate is the percentage of the sample that participate in the study, non-response is when an element selected for the sample does not supply the required data.