Qualitative Research in Social Sciences

Inferential statistics involves making predictions based on entire populations rather than sample data.

Factor analysis is used to identify groups or clusters within the data.

Data interpretation involves only making sense of the results obtained from data analysis.

Comparing the findings with existing literature is not a key aspect of data interpretation.

Discourse analysis examines how language and communication shape only power dynamics.

Regression analysis is used to identify underlying factors influencing the data.

Data interpretation is not essential for informing decision-making processes.

Effective data interpretation involves only identifying key findings and trends.

Cluster analysis is used to explore relationships between variables.

Data interpretation helps researchers validate their hypotheses but does not generate new knowledge.