Question

Ction: Fill each blank with the correct answer.

1. The method in identifying part of the respondents of the
Study.
2. The samples are selected based on availability.
3. A technique that divides the elements of the population into small
subgroups(strata) based on the similarity in such a way that the
elements within the group are homogenous and heterogeneous
among the other subgroups formed.
4. It is based on the intention or the purpose of the study.
5. This type of sampling depends on some pre-set standard. It selects
the representative sample from the population.
6. A technique that uses randomization to make sure that every
element of the population gets an equal chance to be part of the
selected sample.
7. It is used in situations where the population is completely unknown
and rare.
8. It is guided specifically by a hypothesis.
9. A systematic subjective approach used to describe life experiences
and give them meaning. To gain insight, explore depth, richness and
complexity inherent in the phenomenon.
10. An objective, systematic empirical investigation of observable
phenomena through the use of computational techniques.

Answer 1

Step-by-step explanation:

1. Quota Sampling: This method involves identifying specific subgroups of respondents that need to be included in the study in a specific proportion to the population.

2. Convenience Sampling: This sampling technique involves selecting the sample based on the availability of participants at the time of the study.

3. Stratified Sampling: This technique divides the population into subgroups or strata based on similarities, with the elements within each group being relatively homogeneous and heterogeneous among the other subgroups.

4. Purposive Sampling: This type of sampling is based on the intention or purpose of the study, and the sample is selected based on the researcher's judgment or knowledge of the population.

5. Judgment Sampling: This sampling technique depends on some pre-set standards, and the representative sample is selected based on the researcher's judgment or experience. 6. Simple Random Sampling: This technique involves using randomization to ensure that every element of the population has an equal chance of being selected for the sample. 7. Snowball Sampling: This sampling method is used in situations where the population is completely unknown or rare, and it relies on referrals from the initial participants to identify subsequent participants.

8. Hypothesis Sampling: This type of sampling is guided specifically by a hypothesis, and the sample is selected based on the research question being asked.

9. Qualitative Sampling: This technique is used in qualitative research and involves a systematic, subjective approach used to describe life experiences and give them meaning.

LO. Quantitative Sampling: This technique involves an objective, systematic, empirical investigation of observable phenomena through the use of computational techniques.