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PURPOSIVE SAMPLING IN EDUCATIONAL RESEARCH RACHITHRA RK.pptx
- 1. PURPOSIVE SAMPLING RACHITHRA RK FIRST YEAR M.ED
- 3. PURPOSIVE SAMPLING A qualitativesampling technique
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- 6. MEANING Purposeful and plannedselection Not random Chooses info-rich participants
- 7. Why Purposive Focus onquality of information, not the number of participants
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- 9. PURPOSE To collect richand detailed data from the right people
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- 12. HOMOGENIOUS SAMPLING Participants who share similarcharacteristics.
- 13. TYPICAL CASE SAMPLING Pickingrepresentative, ordinary case
- 14. SNOWBALL SAMPLING One participantrefers another and chain continues
- 15. EXPERT SAMPLING Choosing peoplewith special knowledge or skills
- 16. ADVANTAGES Saves time and cost Givesin-depth insights Best for qualitative research
- 17. LIMITATIONS Researcher bias mayoccur Not suitable for generalisation
- 19. EXAMPLES Study on teachingmethods Select only experienced teachers.
- 20. VISUAL IDEA Population →Filter → Selected sample
- 21. CONCLUSION Purposive sampling is atargeted approach
- 22. REFERENCES • Creswell, J.W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). SAGE Publications. • Etikan, I., Musa, S. A., & Alkassim, R. S. (2016). Comparison of convenience sampling and purposive sampling. American Journal of Theoretical and Applied Statistics, 5(1), 1–4. https://doi.org/10.11648/j.ajtas.20160501.11 • Kothari, C. R. (2004). Research methodology: Methods and techniques (2nd ed.). New Age International Publishers.
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Editor's Notes
- #1 Good morning/afternoon.Today I will be presenting the topic Purposive Sampling. It is a commonly used technique in qualitative research.
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- #4 Purposive sampling means selecting participants intentionally. We choose people who are relevant to the research topic. The goal is to get meaningful information, not just large numbers.
- #6 This method is purposeful and planned. Not everyone has an equal chance. The researcher selects people who can give good information.
- #7 Because selection is done with a purpose. We choose participants intentionally, not randomly. Used when the study needs experienced, knowledgeable, or specific individuals rather than a large random sample
- #8 Purposive sampling belongs to non-probability sampling. Here, selection is based on judgment. Only specific people are targeted for the study.
- #9 The main aim is to collect rich and detailed data. Focus is on quality rather than quantity.
- #10 Purposive sampling has several types Each type is used for different research purposes. Next slides explain each type briefly.
- #11 Focuses on selecting diverse participants. Helps get different viewpoints and experiences. Selecting diverse participants to get different viewpoints
- #12 Participants share similar characteristics. Used when researcher needs one specific group.
- #13 Used to select normal or average cases. Helps represent common situations.
- #14 Starts with a few participants, they refer others. Useful for hard-to-reach populations like drug users, refugees or survivors. Sample grows like a snowball rolling down.
- #15 Selection of people considered experts in a field. Used when study needs professional opinion or specialized knowledge. Example: selecting doctors to study vaccination awareness.
- #16 Saves time, effort and resources. Provides rich, detailed data which is valuable in qualitative research. Very useful when population is limited or specific.
- #17 Researcher bias may influence sample selection. Results cannot be generalized to a larger population. Findings may be subjective depending on selected individuals.
- #18 Quality of information matters most. Sample size is usually small. Flexible and convenient method.
- #19 Example: Study on innovative teaching techniques. Only experienced teachers are selected because they can share practical knowledge. Shows purposive selection of relevant participants. Research on cancer coping →Select cancer survivors, not general public.
- #20 The flow represents how purposive sampling works. Step 1: Start with a large population. Step 2: Filter based on specific criteria. Step 3: Select only suitable participants as the final sample.
- #21 Purposive sampling ensures that only relevant participants are involved in study. It is ideal when researcher wants depth, understanding and insight. Quality of information is more important than number of participants.
- #22 These are academic sources and books used for preparing content.