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NUR 80A/B Study Guide - Midterm Guide: Sampling Bias, Sample Size Determination, Ures


Department
Nursing
Course Code
NUR 80A/B
Professor
Leo Michelis
Study Guide
Midterm

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NSE 80A Week 6 1
NSE80A Week 6 Notes
Examining Sampling Plans
General Sampling Procedure
Sampling
The process of selecting a portion of the population to participate in a study
Why sample? Too expensive and time consuming to study everyone!
Quantitative researchers select samples that enable them to generalize findings to a larger group
Qualitative researchers select participants who will provide an in-depth understanding of the phenomenon of interest
Basic Sampling Concepts
Population entire aggregating of cause that meeting specified criteria (ex: all women in treatment for breast cancer who live
in Toronto)
Broadly defined
o Eligibility (inclusion/exclusion) criteria
o Inclusion criteria: Specify the characteristics that delimit the study population
o Researched establishes criteria to determine whether a person qualities as a member of the population
o NB to know eligibility criteria to understand population to which findings apply and can be generalized to:
o Exclusion criteria: sometimes a population Is defined in terms of characteristics that people must NOT possess (Ex- the
population may be define to exclude people who do not speak English)
o Target vs. accessible
o Quantitative researchers sample form an accessible pop. In the hope of generalizing to a target population
a) Target population: the entire population is which the research is interested and to which he or she would
like to generalize the results of the study (ex: all diabetic patients in Canada)
b) Accessible population: cause form target population that are accessible to researcher as a pool of subject
(ex- diabetic patients who are members of a particular health plan)
Sample
o “Representativeness” the extent to which the sample is similar to population
o A subset of the population
o Certain sampling plans less likely to result in biased sample than others, but no guarantee
o Error is possible, but need to minimize or control errors
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