Sampling Theory- Lecture 12&13 Flashcards
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| 499930606 | sample | a sub-set of a population | |
| 499930607 | census | everyone | |
| 499930608 | element | individual unit of analysis that you could sample | |
| 499930609 | population | aggregation of all elements | |
| 499930610 | study population | aggregation of all the elements you end up drawing your sample from | |
| 499930611 | representative | if the sample selected is similar to the population | |
| 499930612 | generalizable | when the sample is representative then the findings are generalizable to the population | |
| 499930613 | probability sample | all sampling strategies we use where we know the probability of each element being selected | |
| 499930614 | equal probability selection method (EPSEM) | every element has the exact same chance of being selected | |
| 499930615 | parameter | a characteristic of the population | |
| 499930616 | statistic | a characteristic of the sample | |
| 499930617 | sampling distribution | the average of all statistics | |
| 499930618 | types of non probability sampling | convenience, judgement, snowball, quota, SLOPS | |
| 499930619 | convenience sampling | use when there is little time and resources | |
| 499930620 | judgement sampling | use when dealing with an uncommon population | |
| 499930621 | snowball sampling | use when studying a population that is difficult to identify by choosing one person and using them to study others and so on | |
| 499930622 | quota sampling | use when choosing people who fit the characteristics you're looking for | |
| 499930623 | SLOPS sampling | self-selected listener opinion, when people select themselves to participate |