General Awareness ยท Social Science
Research Methodology
2,328 Questions
Research methodology encompasses the systematic strategies used to collect and analyze data for academic and policy studies. These concepts are frequently tested in civil services and state public service commission examinations. The questions cover qualitative and quantitative methods, sampling techniques, and research validity.
Action research cycleQualitative data analysisQuantitative research methodsTypes of validitySampling techniquesPolicy analysis methods
Research Methodology Questions
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A test of a hypothesis
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A way to collect data
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A way to analyze data
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A way to communicate results
A
Correct answer
Explanation
An experiment is a test of a hypothesis, where you manipulate one variable and observe the effect on another variable.
What is the importance of replication in the scientific method?
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To confirm the results of a study
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To rule out chance findings
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To generalize the results of a study to a larger population
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All of the above
D
Correct answer
Explanation
Replication is the process of repeating a study to confirm the results, rule out chance findings, and generalize the results to a larger population.
How can the scientific method be used to solve real-world problems?
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By identifying the problem and gathering data
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By developing and testing hypotheses
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By analyzing the results and drawing conclusions
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All of the above
D
Correct answer
Explanation
The scientific method can be used to solve real-world problems by identifying the problem and gathering data, developing and testing hypotheses, and analyzing the results and drawing conclusions.
Which sampling technique involves randomly selecting a certain number of participants from a population?
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Simple Random Sampling
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Systematic Sampling
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Stratified Sampling
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Cluster Sampling
A
Correct answer
Explanation
Simple random sampling is a probability sampling technique where each member of the population has an equal chance of being selected.
In systematic sampling, the researcher selects participants based on a fixed interval from a list or frame.
A
Correct answer
Explanation
Systematic sampling is a probability sampling technique where participants are selected at regular intervals from a list or frame.
Stratified sampling involves dividing the population into subgroups and selecting participants from each subgroup.
A
Correct answer
Explanation
Stratified sampling is a probability sampling technique where the population is divided into subgroups, and participants are selected from each subgroup.
Cluster sampling is a probability sampling technique where the researcher selects a group of participants from a population and then selects all members of that group.
A
Correct answer
Explanation
Cluster sampling is a probability sampling technique where the researcher selects a group of participants from a population and then selects all members of that group.
Convenience sampling is a non-probability sampling technique where participants are selected based on their accessibility or convenience.
A
Correct answer
Explanation
Convenience sampling is a non-probability sampling technique where participants are selected based on their accessibility or convenience.
Purposive sampling is a non-probability sampling technique where participants are selected based on their specific characteristics or expertise.
A
Correct answer
Explanation
Purposive sampling is a non-probability sampling technique where participants are selected based on their specific characteristics or expertise.
Snowball sampling is a non-probability sampling technique where participants are recruited through referrals from other participants.
A
Correct answer
Explanation
Snowball sampling is a non-probability sampling technique where participants are recruited through referrals from other participants.
Quota sampling is a non-probability sampling technique where participants are selected to match the characteristics of the population in terms of specific variables.
A
Correct answer
Explanation
Quota sampling is a non-probability sampling technique where participants are selected to match the characteristics of the population in terms of specific variables.
Which sampling technique is most appropriate when the population is large and widely dispersed?
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Simple Random Sampling
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Systematic Sampling
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Stratified Sampling
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Cluster Sampling
D
Correct answer
Explanation
Cluster sampling is most appropriate when the population is large and widely dispersed because it allows the researcher to select a representative sample without having to survey the entire population.
Which sampling technique is most appropriate when the population is small and homogeneous?
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Simple Random Sampling
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Systematic Sampling
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Stratified Sampling
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Convenience Sampling
A
Correct answer
Explanation
Simple random sampling is most appropriate when the population is small and homogeneous because it ensures that each member of the population has an equal chance of being selected.
Which sampling technique is most appropriate when the researcher wants to ensure that specific subgroups are adequately represented in the sample?
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Simple Random Sampling
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Systematic Sampling
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Stratified Sampling
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Cluster Sampling
C
Correct answer
Explanation
Stratified sampling is most appropriate when the researcher wants to ensure that specific subgroups are adequately represented in the sample because it allows the researcher to divide the population into subgroups and select participants from each subgroup.
Which sampling technique is most appropriate when the researcher wants to collect data from a specific group of individuals who share common characteristics?
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Simple Random Sampling
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Systematic Sampling
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Purposive Sampling
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Snowball Sampling
C
Correct answer
Explanation
Purposive sampling is most appropriate when the researcher wants to collect data from a specific group of individuals who share common characteristics because it allows the researcher to select participants based on their specific characteristics or expertise.