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Lecture 7

HLTB15 Lecture 7.pdf

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University of Toronto Scarborough
Health Studies
Iva Zovkic

HLTB15 Lecture 7 Thursday, March 14, 2013 12:16 PM Cue Column: Note-Taking Area: Undertaking research - sampling methods • Concept of sampling ○ Small group from population  Adv: saves $ & HR & time  Disadv: only find about sample, and estimate for population □ Loses accuracy □ Based on assumption ○ In qualitative research  Analysis done on saturation point □ Keep going while you keep finding □ Basicallycontinue sampling as long as you make new findings □ When no new findings, it's called saturationpoint  Based on subjectivejudgments • Terminology ○ Population / study sample (N)  Group of individuals/units etc.  Shares same characteristics ○ Sample  Subset of population ○ Sample size (n)  # of individuals used to draw info  Representativesof population ○ Sampling design/strategy  Random, non-random, mixed designs ○ Sampling unit/sampling element  Unit is an individual  Unit of analysis ○ Sampling frame  Every indi/unit in study sample  Where can sample be drawn  ID individuals ○ Sample stats  Statistics ex mean, etc. from sample ○ Population parameters/ population mean  # inferred fromstats  Estimate coming from sample stats  Predict certainpopulation mean Guiding principles • ○ Principles of sampling  There is going to be diff between sample stats and population mean □ *true population mean - the true mean of entire population □ The differenceis in relation to sample units  As sample size increases,more accuracy between sample stats and true pop mean  The greater diff in variable, greater diff between sample stats and pop mean □ Ex. Really young and really old in class, it's going to be
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