Title: Sampling Strategies for Research: All in One Guide 📈| Homework Lab
Headings: Sampling Strategies Guide to Aid Your Research
Sampling Strategies Guide to Aid Your Research
Contents (Clickable)
Sampling strategy 101: What Is It and How to Choose
What exactly is a sample?
What is a sampling strategy?
Qualitative vs. Quantitative Research
1. Do you have numerical data or non-numerical data?
3. Will you gather a lot of structured data or a small amount of unstructured data?
Sampling Strategies for Qualitative research: Advantages and disadvantages
Convenience Sampling
Advantages of convenience sampling:
Disadvantages of convenience sampling:
Snowball Sampling
Advantages of snowball sampling:
Disadvantages of snowball sampling:
Judgemental Sampling
Advantages of judgment sampling:
Disadvantages of judgment sampling:
Quota sampling
Advantages of quota sampling:
Disadvantages of quota sampling:
Sampling Strategies for Quantitative Research: Advantages and Disadvantages
Simple Random Sampling
Advantages of simple random sampling:
Disadvantages of simple random sampling:
Systematic Random Sampling
Advantages of systematic random sampling:
Disadvantages of systematic random sampling:
Stratified Sampling
Advantages of stratified sampling:
Disadvantages of stratified sampling:
Cluster Sampling
Advantages of stratified sampling:
Disadvantages of stratified sampling:
Choosing sampling strategy: Pro tips
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Content: What is a sampling strategy? Sampling strategy is your method of choosing subjects from a population that will make a representative sample. The stressed word here is ‘ your ’ because you need to choose the sampling strategy according to the design of your research, including: Qualitative or quantitative research (see the following chapter to figure these out )
Research design (exploratory, descriptive, or causal)
Research methods (experiment, survey, interview, etc.) Let’s see how qualitative and quantitative research differ and how it will affect your choice of the sampling strategy. Qualitative vs. Quantitative Research
Deciding whether your research is or will be qualitative or quantitative is as a piece of cake – it’s as simple as doing a checklist! To choose a suitable sampling strategy, first, you need to figure out whether you’re working with qualitative or quantitative data. Take a look at the comparison table of these two types of research: Qualitative - details are in focus
Quantitative - it’s all about numbers
Purpose
Investigate underlying trends and cause-and-effect relationships
Test hypothesis and develop generalizations that can be applied to the statistical population
Focus
Wide - since the subject of research is often under-investigated, the researcher can come up with a wide range of conclusions
Narrow - the research uses statistical methods to test a specific hypothesis
Nature
Subjective - researcher is involved
Objective - researcher’s bias doesn’t affect the results of the study
Type of data
Non-numerical
Numerical
Common research design
Exploratory - investigating something that isn’t clear yet based on previous research
Descriptive and causal - investigation of something we already know about
Sample studied
Typically small and not randomly selected
Typically large and randomly selected
Hypothesis
Refers to the underlying causes of a particular phenomenon or event
Needs a ‘yes’ or ‘no’ answer
Sample
Small
Large
Research methods
Observations, focus groups, interviews - methods that result in non-numerical data collection
Survey, questionnaire, experiments, etc - methods that provide numerical data
Data structure
Not structured
Always structured, e.g. the same questionnaire is filled in by different people
Generalization of conclusions
Difficult to generalize the results of the study to the general population
Is possible to generalize the conclusions of the research to the general population
Overall, it’s impossible to say that qualitative research is better than quantitative or vice versa. They both are good, but for different purposes.