Lost in the jargon around sampling? Here's how to choose a method your study can support, and justify the choice. 🎓 GET 1-ON-1 RESEARCH METHODOLOGY HELP: https://go.gradcoach.com/5GQNb 🧰 FREE RESEARCH TOOLKIT: https://go.gradcoach.com/wy6F3 *THE KEY QUESTIONS WE ANSWER IN THIS VIDEO* *What is sampling in research?* Selecting a subset of participants from a larger group. The larger group is the population and the subset you engage with is the sample. Think of the population as a whole cake and your sample as a slice. You could not survey every laundry detergent user in the US, but you could survey a smaller group of them. *Does my sample have to be representative of the population?* Not always. A representative sample is a cross-sectional slice reflecting every layer of the cake in proportion, and it is harder to achieve than it sounds. Whether you need one depends on your research aims. *What is the difference between probability and non-probability sampling?* Probability sampling selects participants on a statistically random basis, following a predetermined process rather than the researcher's discretion. Non-probability sampling selects them using the researcher's judgment. Probability methods dominate quantitative work aiming for generalizable findings; non-probability methods suit qualitative work where depth matters more. *What is simple random sampling?* Every participant has an equal chance of selection, which is pulling names out of a hat, done digitally. With a list of 500 people you could use a random number generator to draw 50. It is cheap and generalizes reliably, but it can hide large subgroups and leave minorities barely represented. *What is stratified random sampling?* Random selection from within predefined subgroups sharing a trait, called strata, such as gender, ethnicity or education level. It gives you control over subgroup effects: if a population is 80% male you could still select equal numbers of each. That costs some representativeness but lets you compare subgroups. *What is cluster sampling, and how does it differ from stratified sampling?* Cluster sampling draws from naturally occurring, mutually exclusive groups such as area codes in a city, selecting a few clusters at random and then participants within them. Stratified sampling would send you all over the city for the same sample size, so clusters are the more economical option over a large area. Rule of thumb: clusters suit a homogeneous population, strata suit a diverse one. *What are purposive, convenience and snowball sampling?* The three common non-probability methods. Purposive sampling uses your judgment to target people with specific knowledge, good for going narrow and deep. Convenience sampling takes whoever is available, which is fast but rarely representative. Snowball sampling recruits through referrals, which is how you reach rare or hard-to-access groups, or people who will only open up if someone they trust referred them. *How do I choose the right sampling method?* Two factors. First your research aims: if you need generalizable findings, lean probability; if you need rich, deep insight, lean non-probability. Second your resources, which may limit you to convenience or referral methods. Be ready to compromise. A trade-off that is explained, justified and honest about its limits is fine, and every study has limitations, so do not hide yours. *OVERVIEW* 00:00 Introduction 00:54 What sampling means, and population vs sample 02:55 Probability sampling explained 03:57 Non-probability sampling explained 05:19 Simple random sampling, with an example 06:36 Stratified random sampling, with an example 07:49 Cluster sampling, and how it differs from stratified 10:10 Purposive sampling, with an example 11:30 Convenience sampling, and its risks 12:35 Snowball sampling, for hard-to-reach groups 14:00 Factor 1: Matching sampling to your research aims 15:15 Factor 2: Your resources and practical constraints 16:38 Recap of the key takeaways *FREE RESOURCES* Sampling Methods & Strategies 101 - https://go.gradcoach.com/Ky5FU Research Aims, Objectives & Questions - https://go.gradcoach.com/Yeuao Research Bias: The Hidden Monster - https://go.gradcoach.com/hby8k What Are Research Limitations? - https://go.gradcoach.com/cDXdH Methodology Template - https://go.gradcoach.com/Pn1dF Research Aims, Objectives & Questions - https://youtu.be/9d3JO-mCzfw Research Bias 101 - https://youtu.be/YZG7oo4OwOg Research Limitations Explained - https://youtu.be/rmHsva1loi4 The Grad Coach Blog - https://go.gradcoach.com/ctCRA *PREMIUM RESOURCES* Research Methodology 101 (Blueprint) - https://go.gradcoach.com/f3WLX *OUR SOCIALS* 🟢 Facebook - https://www.facebook.com/gradcoachofficial/ 🟢 Twitter - https://twitter.com/gradcoachdotcom 🟢 LinkedIn - https://www.linkedin.com/company/grad-coach-intl/ 🟢 YouTube - https://youtube.com/c/gradcoach
