Study Population and Sampling Design ⭐️

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39 Terms

1
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Entire group from whom information will be obtained and to whom results are generalized

What is a population?

2
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List of all possible members of the population eligible for sampling

What is a sampling frame?

3
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A subset of the population used for sampling

What is a sampling frame in relation to population?

4
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Individual member of the population that can provide data

What is a sampling unit?

5
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Selected sampling units chosen using proper methods

What is a sample?

6
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Should ideally match population characteristics but may not 100%

What is the ideal relationship between sampling frame and population?

7
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Official databases like household lists or student enrollment lists

What are common examples of sampling frames?

8
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Calculated number of sampling units selected for the study

What is sample size?

9
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Actual sources of data for research

What are samples?

10
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Receive survey forms or data collection instruments

What happens to samples in a study?

11
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Each unit has a known and equal chance of selection
What is probability sampling?
12
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Units do not have a known and equal chance of selection
What is non-probability sampling?
13
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Simple Random Sampling, Systematic, Stratified, Cluster, Multistage Sampling
What are examples of probability sampling methods?
14
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Assigns equal chances to each sampling unit, traditionally by random draw or computer-generated numbers
What is simple random sampling?
15
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Randomizes only the starting point, then selects others at fixed intervals
What is systematic sampling?
16
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Divides population into groups (strata), samples randomly within each group
What is stratified sampling?
17
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Groups are heterogeneous with homogeneous sampling units (e.g., males vs females)
What characterizes strata in stratified sampling?
18
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Divides population into groups (clusters), randomly samples entire clusters
What is cluster sampling?
19
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Microcosms with heterogeneous units but similar distribution across clusters

What characterizes clusters in cluster sampling?

20
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Requires statistical adjustments for undercoverage bias
What is a limitation of cluster sampling?
21
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Includes the entire population (census)
What is total enumeration sampling?
22
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Convenience, Quota, Judgmental (Purposive) sampling
What are common non-probability sampling methods?
23
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Selects easily available units; purposive selects specific units deliberately
How do convenience and purposive sampling differ?
24
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Often biased and non-generalizable but useful in qualitative or constrained studies
When is non-probability sampling appropriate?
25
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Should fit research objectives and practical constraints

What should guide the choice of sampling method?

26
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Limitations of sampling strategy should be disclosed in manuscripts
What should researchers disclose about their sampling methods?
27
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To avoid bias and ensure ethical and valid results

Why do we define sample size before starting a study?

28
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Too few subjects prevent generalization and detection of differences, risking unethical study
What happens if the sample size is too small?
29
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Too many subjects risk unnecessary exposure to intervention and waste resources
What happens if the sample size is too large?
30
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Calculation of optimum participants needed for valid results
What is the purpose of calculating sample size?
31
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Acceptable level of significance, power, expected effect size, event rate, and standard deviation
What factors affect sample size?
32
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Expected drop-out rate, unequal allocation, study objective and design
What other factors may affect sample size?
33
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“p” value indicating probability result is due to chance (commonly p < 0.05 or p < 0.01)
What is the level of significance?
34
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Probability of correctly detecting a difference (1 - β), usually set at 80%

What is the power of a study?

35
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Difference between control and test groups, expressed absolutely or relatively

What is expected effect size?

36
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Large effect size requires smaller sample; small effect size requires larger sample
How does effect size influence sample size?
37
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(Prevalence) estimated from prior studies for sample calculation

What is the underlying event rate?

38
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Measures data variability; larger variability requires larger sample size

What is standard deviation in sample size calculation?

39
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Homogeneous populations with small variance need smaller samples
How does population homogeneity affect sample size?