HLTB15H3 Lecture 7: Lecture 7

37 views4 pages
13 Dec 2017
School
Department
Course
Professor

Document Summary

The science and practice of selecting information from populations in a manner that allows defensible inferences to be drawn from those data. Target sample/population of interest: person= sampling unit. Aim to ensure results can be reflective of, and can be applied to the population that you are describing. Non probability sampling: nonrandom bias for selecting sample using judgement criteria. Quota sampling: selecting sample elements according to a predetermined distribution across certain categories, there is still diversity, form of stratified sampling but not random, cannot predict probability of being chosen. Convenience sampling- sample who is convenient to get. Snowball sampling- starts with convenience sampling or a group that have something in common and then increase size of group by having participants refer other participants. Purposive sampling- selecting all sample elements according to a certain criterion. Quota sampling-selecting stratified sample but in a nonrandom way (selecting by more than one variable ex. Theoretical sampling- selecting based on a philosophy of qualitative research.

Get access

Grade+20% off
$8 USD/m$10 USD/m
Billed $96 USD annually
Grade+
Homework Help
Study Guides
Textbook Solutions
Class Notes
Textbook Notes
Booster Class
40 Verified Answers
Class+
$8 USD/m
Billed $96 USD annually
Class+
Homework Help
Study Guides
Textbook Solutions
Class Notes
Textbook Notes
Booster Class
30 Verified Answers

Related Documents