SAMPLING TECHNIQUE IN PRACTICAL RESEARCH 2.pptx

Nature of Quantitative Research
Quantitative research is a systematic investigation that focuses on collecting and analyzing numerical data to explain, predict, or test relationships among variables. It relies on measurable evidence, statistical tools, and structured instruments such as surveys, tests, or experiments. In Practical Research 2, students explore how quantitative methods are used to answer research questions objectively, often through large samples and standardized procedures. This approach emphasizes precision, reliability, and replicability, making it ideal for studies that seek to quantify behaviors, opinions, or outcomes.
Quantitative research is often associated with experimental, descriptive, or correlational designs. It uses tools like graphs, tables, and statistical formulas to present findings clearly and concisely. Whether comparing groups, measuring change, or identifying patterns, this method helps researchers draw conclusions based on observable data.

1. SAMPLING TECHNIQUE PREPARED BY MS JANET DASALLA

2. SAMPLING TECHNIQUE Sample Footer Text Population – the entirety of the group including all the members that forms a set of data. Sample – contains a few members of the population. Represent the characteristics or traits of the whole population. 11/22/2023 2

3. PROBABILITY SAMPLING In probability, every member of the population has the chance of being selected. It involves principle of RANDOMIZATION or CHANCE

4. TYPES OF PROBABILITY SAMPLING Simple Random Sampling (Fishbowl Method) Systematic Sampling (Pattern) Stratified Random Sampling (Strata or Groups) Cluster Sampling

5. NON-PROBABILITY SAMPLING In non-probability sampling, not every member of the population has the equal chance of being selected. It can rely on the subjective judgement of the researcher

6. TYPES OF NON-PROBABILITY SAMPLING Convenience Sampling - Selecting a sample based on the availability of the member and/or proximity to the researcher. - Also known as accidental, opportunity or grab sampling

7. TYPES OF NON-PROBABILITY SAMPLING Purposive Sampling - Samples are chosen based on the goals of the study being conducted or if they satisfy the traits or conditions set by the researcher.

8. TYPES OF NON-PROBABILITY SAMPLING Quota Sampling - Proportion of the groups in the population were considered in the number and selection of the respondents

9. TYPES OF NON-PROBABILITY SAMPLING Snowball Sampling - Participants in the study were tasked to recruit other members for the study.

10. SLOVIN’S FORMULA Slovin’s formula is used to compute for the sample size in a study given the total population and margin of error. N – Size of the Population n – Sample Size e – Margin of error

11. EXAMPLE Compute the sample size given a total population of 1,000 and a margin or error of 5%.

12. EXERCISE A student wants to conduct a research in his school. If the school has a total number of students of 4,800, solve for the sample size needed using 5% margin of error.