* Which of the following is not the advantage of historical method?
A Non-matching situations
(Over Organization
B. Investigate some Problem
D. Subjective Interpretation
9. Division of the population in to groups according to geographical, sociological a
characteristics is known as
A Systematic Sampling
C Cluster Sampling
B. Stratified Sampling
D. Simple Random Sampling
10 Which of the following is not a part of Proposal?
A. Statement of the Problem
C Analysis of the Study
B. Objective of the Study
D. Limitation of the Study
Part III: Match the word with its description by placing the letter of the definition in the space
preceding (2 point each)
A
1. Acknowledge
2 Abstract
3. Convenience Sampling
4. Systematic Sampling
S. APA Style
6. Historical Research
7. Census Survey
8. Hypothesis
B
A. Appreciation for assistance & guidance.
B. Executive Summary.
C. Non-Probability Sampling.
D. Probability Sampling
E. Reference
F. Which makes use of Observations based on past
events
G. The data is collected from each & every unit of
the universe
H. A tentative assumption drawn from Knowledge
Part IV. Workout the following question clearly show your steps (2 point each)
1. Write about the major types of Research and discuss on it
2 What are the major contents and organization of a proposal?
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Answer :

Final answer:

Stratified, Cluster, and Convenience Sampling methods in research.


Explanation:

Stratified Sampling involves dividing the study population into relevant subgroups and drawing a sample from each subgroup based on certain characteristics. This method allows for a more precise analysis by ensuring representation from different segments of the population.

Cluster Sampling divides the population into clusters based on shared characteristics like cities or schools, then randomly selects individuals from each cluster for the survey. While cost-effective, it may not always provide the most representative results due to the clustering effect.

Convenience Sampling is a non-probabilistic method based on ease of access to participants, often used when true random sampling is challenging. This technique may lack generalizability but offers practicality in gathering data.


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