SOSA 2002X Lecture Notes - Lecture 17: General Social Survey, Sampling Frame
2 Dec 2014
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Assessment of claims: validity / representativeness of data. The extent to which measures (variables) capture a concept. Population: all the cases about which you are seeking knowledge or all the cases to which your conclusions are meant to apply (text, p. 209) Ex. research looking at whats going on in ns population ns. All subjects about whom a study is making a claim about. Sample: the elements selected for investigation, a subject of the population (text, p. 209). A subset of population: actual persons, from whom researchers collect data. Making a claim of population by selecting a subset of people from the population. Then come up with some summary numbers (statistics) from the sample. Then we come up with a parameter that refers back to the population If our sample is biased or doesn"t well represent the population this leads to . Biased claim/conclusion an ideal sample is representative or the population.
