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Chapter 8- Sampling - Coggle Diagram

- - - - The second phase in this is the sampling frame- the accessible section of the target population from wherea sample can be drawn. (Bhattacherjee, 2012)
        
        The last step in the phase is choosing the sample from the sampling frame and this can be done in either 2 ways probability( random) or non probability
        
        Non Probability is a sampling technique in which some unit of the population has a zero chance of selection or where the probability of selection cannot be accurately determined.
        
        Probability Sampling is ideal if generalizability of results is important for your study. This is a technique in which every unit in the population has a chance of being selected in the sample and this chance can be accurately determined. (Bhattacherjee, 2012) Broken into 6 categories which is simple random sampling, systematic sampling, stratified sampling, cluster, matched pairs, multi-stage
        
        stratisfied- sampling area is divided into homogeneous and non-overlapping subgroups and then a simple random sample is drawn from each group
        
        cluster- when your population is spread out over a geographical area you may group them into cluster like norther, southern, eastern, or western regions
        
        Systematic random- all possible subsets of a population are given an equal probability of being selected
        
        Matched-pairs- when researchers want to compare two subgroups within one population based on a specific criteria
        
        Simple Random- all possible subset of a population are given equal probability of selecting any set of n units out of a total unit
        
        multi-stage- combining single stage techniques to conduct a multistage technique.
        
        Snowball Sampling- you start by identifying a few respondents that match your criteria then ask them to refer other they might konw who also fit your criteria
        
        Expert-a group of respondents are chosen based off their experience in the field that is being researched and all are given their same question to answer
        
        quota sampling- the population is segmented into mutually exclusive subgroups, and then non random set of observations is chosen from each sub group.
        
        Convenience- accidental or opportunity think of this like a researcher is outside the grocery store asking people to fill out their survey this is random people they didn't vet or know