Political Science 3324F/G Lecture Notes - Lecture 9: Stratified Sampling, Simple Random Sample, Random Number Table
14 Nov 2016
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Sampling selection of subset of a population for research. Errors of estimation that occur because there is a discrepancy between the sample group and total population. Possibility of sampling error can never completely be eliminated. Probability sampling stands a better change of minimizing sampling error. Four sources of error: sampling error, sampling related error, data collection error, data processing error. Ignore any random number that is chosen twice do not want to interview twice (without replacement: selecting random sample: Devise a sampling frame/ list of population elements. Pick a sample size (n) from population (n) Using a random number table or computer program to generate a list of random numbers. Periodicity is the cases in the sampling frame are arranged in some systematic order. Select a simple random sample or systematic sample from each stratum. Using this procedure to ensure that each stratum is proportionally represented in total sample.
