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

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Sampling Methods Comm 300
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Important Updates Important Updates Due to last week’s 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 2—will now be on October 19. If this change poses a problem, please talk to your TA asap
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On the menu today… H ow w e sam p le h en e do re sea rch W y w ho you ask can chan ge your results y sam ling m a tters so m uch fo r the va lidity of rese arch
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Drawing Samples Population Sample complete  list of  persons/objects we want  to study Census? subset  of   population
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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
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Why does sampling matter? You want to be able to draw conclusions from your analysis that can be applied to the population of interest
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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 Can’t assume that results gathered from these samples generalize to larger populations because they are not random
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This note was uploaded on 12/01/2011 for the course COMMUNICAT 192:300 taught by Professor Katz during the Fall '11 term at Rutgers.

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

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