HSCI 307 Lecture 12: Sampling

• School: Simon Fraser University
• Department: Health Sciences
• Course: HSCI 307
• Professor: Rochelle Tucker

Document Summary

Sampling: the selection of a subset of a population for research. Two main types of sampling: probability: uses random selection methods, associated with quantitative methods, non-probability: does not use random selection methods, associated with qualitative research. Why sample: minimize cost, minimize data collection time therefore reduce history threat. Better access to subjects for the study and for future research. Enhanced data quality focused efforts regarding recruitment, types of interaction etc. Three sources of bias in sampling: not using a random method to pick the sample, the sampling frame, human judgement that selects one group over another, non-response. Some people in the sample fail to participate which skews the data. Sampling error does not mean an error when selecting a sample. Errors of estimation that occur because there is a discrepancy between the sample statistic and the corresponding total population parameter are sampling errors.