Week 5 Sampling

Week 5 Sampling - Sampling Methods Comm 300 Important...

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Unformatted text preview: Sampling Methods Comm 300 Important Updates Important Updates Due to last weeks Wed class cancellation, there have been changes to the syllabus (see Syllabus tab on Sakai for all details) Classes between today and October 26 pushed back one day. CHANGE OF DATE for Exam 2will now be on October 19. If this change poses a problem, please talk to your TA asap On the menu today H ow w e sam ple w hen w e do research W hy w ho you ask can change your results W hy sam pling m atters so m uch for the validity of research Drawing Samples Population Sample A complete list of persons/ objects we want to study Census? A subset of population Key Concepts in Sampling Key Concepts in Sampling Sample : representative subset of population (universe) Representativeness : How closely a sample matches its population in terms of the characteristics we want to study Sampling error : Degree to which a sample s characteristics differ from the population s characteristics Why does sampling matter? You want to be able to draw conclusions from your analysis that can be applied to the population of interest Non-Probability Sampling Convenience sampling Use who is most closely available as participants. Volunteer sampling Ex: students who get extra credit for participating in campus research projects (also an ethical issue) Purposive/Quota sampling Selecting a certain number of particular kinds of people (proportions/types). Snowball sampling Start with one participant, and snowball/branch out to include their references/friends Useful for invisible populations Cant assume that results gathered from these samples generalize to larger populations because they are not random Probability (Random) Sampling...
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This note was uploaded on 10/02/2011 for the course COMM 300 taught by Professor Yanovitsky during the Spring '08 term at Rutgers.

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Week 5 Sampling - Sampling Methods Comm 300 Important...

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