ASOC 220 Lecture Notes - Lecture 15: Stratified Sampling, Sampling Error, Operational Definition
2 Jun 2017
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* sampling element the unit of analysis or case in a population a person, group, record, tweet, fb post. * target population the pool of elements. * sampling ratio sample elements to the population (1:6, 1:10) * sampling frame the operationalized population ( master list ) terminology is important. * but there isn"t always a master list . * critical error is the mismatch between sampling frame and true population. * similar to mismatch between theoretical and operational definition of a variable. * accurate sampling frame is more critical than sample size. * parameter true characteristics of the population (what you"re trying to measure) random sampling. * figure 6. 3: a model of the logic of sampling. * each case has an equal chance of selection. * can then calculate the probability of outcomes. * statistical properties allow for comparisons and measurement of error. * the deviation between sample results and the true population parameter.
