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CHAPTER 19 POPULATION AND SAMPLING PROCEDURES - Coggle Diagram
CHAPTER 19 POPULATION AND SAMPLING PROCEDURES
Population
Definition
Including all people or items (firms, product, and so on) with the characteristic one wish to understand
The population from which the sample is drawn may not be the same as the population about which one actually wants the information
Key question: To know who or what one wants information about
Sample size in Quantitative Research
Samples are to be broken into sub-samples (male/female)
A minimum sample size of 30 for each category is necessary
In multivariate research (including multiple regression analyzes) the sample size should be several times (preferably 10 times or more) as large as the number of variables
Sample sizes larger than 30 and less than 500 are appropriate
For simple experimental research with tight experimental controls, successful research is possible with samples as small as 10 to 20 in size.
Sampling Technique
Probability Sampling
Systematic Sampling
Cluster Sampling
Stratified Random Sampling
Multi-Stage Sampling
Simple Random Sampling
Non-Probability Sampling
Expert Sampling
Expert Sampling
Judgmental Sampling
Quota Sampling
Purposive Sampling
Heterogeneity Sampling
Snowball Sampling
Sampling Procedures
Define the sample size
Select the sample units
Select a sampling procedure
Collect data from the sampled
Identify the sampling frame
Define the population
Sample size in Qualitative Research
Heterogeneity of the group
The number of interviews done already
Interview structure and content
The complexity of the interviews
Sampling continues until the researcher senses one has reached saturation
The researcher's experience, fatigue and confidence
Resourcing of the study, can place limitations on what sampling is feasible
The number of researchers in the research team
Type of sampling techniques are employed
The more interviews, the more defensible the researcher believes the research will be