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C19. POPULATION & SAMPLING PROCEDURES - Coggle Diagram
C19. POPULATION & SAMPLING PROCEDURES
Population
Sampling procedures & technique
1.Define the population
2.Identify the sampling frame
3.Select a sampling procedure
4.Define the sample size
5.Select the sample units
6.Collect data from the sample
probability sampling - random selection with controlled procedure
non-probability sampling - random selection
including all people or items with characteristic one wish to understand
from which sample is drawn
Non-probability sampling
Expert- sample with known/demonstrable experience & expertise
Quota- equal/proportionate representation
Judgmental- specific purpose in mind
Heterogeneity- include all opinions/views @ diversity
Purposive- specific predefined groups
Snowball- through recommendation of initial subject
Convenience- accessible to the researcher by asking volunteers
Probability sampling
Systematic - k=N/n
Cluster
-population divided into mutually exhaustive subsets
Stratified random
-each subgroup of the population
Multi-stage
-combination of all other sampling methods
Simple random
-equal probability of selection
Sample size
Quantitative research
-significance level
-power
-effect size
-various techniques to determine minimum sample size
Qualitative research
-no rule for sample size
-min 1 participant