Sampling 6 - NEW ROOM! Effective Thursday 1/25 Lecture will...

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NEW ROOM! Effective Thursday 1/25 Lecture will meet in LC C6!
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Sampling
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Samples and Populations Population – the people you want to know about Americans (attitude toward President Obama) Dentists (attitude toward Trident chewing gum) Adults between 18 and 50 (how many numbers can an adult can hold in short-term memory) Sample – the people in your study 2000 Americans 100 Dentists 50 Adults
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Population and Sample Symbols μ = mu = population mean σ = sigma = population standard deviation σ 2 population variance M = sample mean s = sample standard deviation s 2 = sample variance
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Generalizability Ability to apply findings from one sample or in one context to other samples or contexts aka External Validity
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Sampling Techniques Random sampling – every member of population has an equal chance of being selected into the study Convenience sample – using participants who are readily available
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Sampling Techniques Cluster – populations into clusters; randomly select clusters Stratified – population into strata (categories); randomly select from within strata
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Replication Duplicating results with other samples or contexts
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Coincidence or Probability? Confirmation bias – paying
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This note was uploaded on 05/26/2011 for the course PSCH 343 taught by Professor Victoriaharmon during the Spring '11 term at Ill. Chicago.

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Sampling 6 - NEW ROOM! Effective Thursday 1/25 Lecture will...

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