04:192:300 Lecture Notes - Lecture 8: Jargon, Bogardus Social Distance Scale, Likert Scale
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Choose participants from phone directories and automobile registries. Results: poll favored landon, winning in a landslide. Bias, in selecting sample from people who have phones & cars new expensive technology, getting responses from wealthier people, what class are they in or poverty level. Population: every possible element of a pre-defined aggregate that could be studied: a complete list of persons/objects we want to study. Ex: census, class roster, etc: a subset of population. Sample: representative subset of population (universe: sampling frame: the list from which all members of a population are sampled, sampling error: deg(cid:396)ee to (cid:449)hi(cid:272)h a sa(cid:373)ple"s (cid:272)ha(cid:396)a(cid:272)te(cid:396)isti(cid:272)s diffe(cid:396) f(cid:396)o(cid:373) the populatio(cid:374)s characteristics. How close does our sample match the actual characteristics of the larger population: representativeness: how closely a sample matches its population in terms of the characteristics we want to study. Use that is most conveniently available as participants. People who sit in the front row pay more attention,
