Limitations of Secondary Analysis in Research

Assertion (A): Researchers who opt for secondary analysis do not have limitations in the types of hypothesis or research questions which are to be investigated.

Reason (R): For them, data already exists and it is difficult to get more information.

(A) Both (A) and (R) are true.

(B) Both (A) and (R) are true, but (R) is not the correct explanation of (A).

(C) (A) is true, but (R) is false.

(D) (A) is false, but (R) is true.

Correct Ans: (D)

Explanation:

Secondary analysis involves using existing data for new research. However, researchers face limitations in the hypotheses and questions they can explore. Since data collection is already completed, researchers must work within the scope of available information. This means they cannot modify variables or collect additional data to fit their specific needs.

Given this, Assertion (A) is false because researchers do face limitations in the types of hypotheses and questions they can investigate. They must align their study with the pre-existing dataset rather than creating new parameters. For example, if a researcher studies media consumption habits but lacks demographic details, they cannot introduce age-based analysis unless the dataset includes it.

On the other hand, Reason (R) is true. Since secondary researchers rely on pre-existing data, obtaining additional information is difficult. They cannot conduct new surveys, interviews, or experiments to gather missing details. Thus, they must work within the constraints of the available dataset.

Therefore, the correct answer is (D): (A) is false, but (R) is true. While secondary analysis is cost-effective and time-saving, it requires careful selection of datasets that align with the research objectives.

JMC Study Team

support@jmcstudyhub.com

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