1 February 2010 Lecture

1 February 2010 Lecture - 1 February 2010 Lecture Survey...

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1 February 2010 Lecture Survey methods Reading for Weds: Babbie”chap 11; Read carefully 313-324; Skim other sections and examples ---- Sampling Respondents Census: all persons in population are included Probability (random) sample: every unit in the population has a chance of being selected in the sample, and this probability can be accurately determined o Simple: every unit has an equal chance of being selected o Oversample o Stratified random sample o Multistage area probability sample (multistage cluster sample) Non-probability (convenience) sample: every unit does not have a chance of selection or the probability can not be determined (uses decision rule other than How representative is the Survey? The degree to which the sampling frame matches the population (it could be a list of names, phonebooks, etc…where you pull information on the people from) Degree to which each individual in frame has an equal chance of being contacted
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This note was uploaded on 10/21/2011 for the course COMM 125 taught by Professor Chompsky during the Spring '08 term at UPenn.

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1 February 2010 Lecture - 1 February 2010 Lecture Survey...

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