SAMPLING PROCEDURE AND SAMPLE - Copy.pptx

SAMPLING PROCEDURE AND SAMPLE - Copy.pptx

1. CHAPTER III METHODOLODY

2. CHAPTER III METHODOLODY Research Design Locale of the Study Respondents of the Study Instrumentation Data Gathering Procedure Data Analysis

3. RESEARCH DESIGN

4. REVIEW 1. What are the two types of quantitative research design? Answer: Experimental Research Design Non-experimental Research Design

5. REVIEW 2. What are the research designs under non-experimental? Answer: Correlational Research Descriptive Research 2. What are the research designs under non-experimental? Answer: Correlational Research Descriptive Research

6. REVIEW 3. What are the research designs under experimental? Answer: Quasi Experimental Research True Experimental Research

7. REVIEW 4. How to choose appropriate research design? Answer: Consider the variables, SOP and research paradigm (conceptual framework) of the study?

8. RESEARCH LOCALE

9. RESEARCH LOCALE   It discusses the site/s where the sampling and data collection will take place .

10. Respondents of the study

11. SAMPLING PROCEDURE AND THE SAMPLE

12. terminologies POPULATION - totality of all the objects, elements, persons, and characteristics under consideration.

13. terminologies TYPES OF POPULATION Target population is the actual population 2. Accessible population - is a portion of the population in which the researcher has reasonable access. All grade 11 SHS students enrolled in ABM Strand in the Division of Bataan Bataan NHS Nagbalayong NHS Orani NHS

14. terminologies SAMPLE - specific group that represents the population Bataan NHS Nagbalayong NHS Orani NHS All grade 11SHS students enrolled in ABM Strand in the Division of Bataan @ Two sections of 11 ABM (11 ABM A, 11 ABM B ) SAMPLE

15. Difference between target population, accessible population, and sample Accessible

16. terminologies SAMPLING - systematic process of selecting the group to be analyzed in the research study

17. HOW TO DETERMINE THE SAMPLE SIZE?

18. Sampling procedures PROBABILITY SAMPLING NON-PROBABILITY SAMPLING - this sampling provides an equal chance of participation in the selection process given to every member listed in the sampling frame. - the subjects are chosen based on the availability or the purpose of the study , in some cases it is the discretion of the researcher.

19. PROBABILITY SAMPLING

20. PROBABILITY SAMPLING Simple Random Sampling Systematic Random Sampling Stratified Random Sampling Cluster Sampling

21. SIMPLE RANDOM SAMPLING - runs from making a list of all respondents, writing each name on the card, choosing cards through a pure chance selection.

22. SYSTEMATIC RANDOM SAMPLING 2. Systematic Random Sampling - uses sampling interval that will be used as random selection method. Formula: i = N/n Where: i = interval, N = population n = sample

23. SAMPLE SIZE = 150 i = N/n i = 1500/150 = 10 The sampling interval is 10. . . . 1500 Example:

24. STRATIFIED RANDOM SAMPLING - is used in a study needing group – by – group analysis. - divides population according to strata or groups before selecting samples. Example: Senior High School students are divided into subgroups based on their academic tracks and samples were randomly obtained from each track.

25. GRADE LEVEL NO. OF STUDENTS SAMPLE GRADE 11 360 94 GRADE 12 215 56 TOTAL 575 150 SAMPLE SIZE = 150

26. CLUSTER SAMPLING useful when the population is large and widely dispersed. sampling of units is done in several stages

27. CLUSTER SAMPLING Example: In drawing a sample of Business Students: the researcher will first draw a random sampl e of business schools in Nueva Ecija, then obtain a sample of students from the selected schools. The final selection from within a cluster may also be performed by simple or stratified random sampling.

28. Non-PROBABILITY SAMPLING

29. Non-PROBABILITY SAMPLING Quota Sampling Convenience Sampling Purposive Sampling or Judgemental Sampling Snowball Sampling

30. NON-PROBABILITY SAMPLING 1. Quota Sampling – this is a sampling technique where the researcher identifies population sections or strata and decides how many participants are required from each section.

31. NON-PROBABILITY SAMPLING 2. Convenience Sampling – this is selection of samples based on the convenience of the researcher.

32. NON-PROBABILITY SAMPLING 3. Purposive Sampling or Judgemental Sampling – people possessing the set criteria are invited to participate in the study

33. Example: The study is about choosing a course in college. The researcher will interview students who will pursue college education.

34. Special type of purposive sampling T OTAL POPULATION SAMPLING - you choose to examine the entire population that have a particular set of characteristics.

35. SNOWBALL SAMPLING works the same way as the referral system. initial sample members are asked to refer other people who meet the criteria required by the researcher.

36. SNOWBALL SAMPLING Example: A researcher is conducting a study among homeless Badjao families in Bataan.

37. activity

38. 1. Richard’s target population for his study is the employees of hotels in Bataan. Since there are too many employees in these establishments, he randomly selected two (2) hotels and considered all its employees as participants in his study. Answer: SIMPLE RANDOM SAMPLING

39. 2. Rina wants to know if the new learning modalities in the semester affect the academic performance of senior high school students. He listed all students in her school and selected every 6th name to be part of her study. Answer: SYSTEMATIC RANDOM SAMPLING

40. 3. Luis wants to survey all the parents in Bataan who opt to enroll their senior high school children to an online class. All in one there are 30 000 parents. Luis decided to have 450 from the target population. Answer: QUOTA SAMPLING