Which of the following is NOT a benefit of good quantitative research methods?

• A. Generalization
• B. Prediction
• C. Testing of hypothesis
• D. Case studies

Answer: (D)

Quantitative research aims to produce findings that generalize to a larger population, enable predictions about future observations, and test hypotheses through numerical data and statistical analysis. Generalization depends on representative sampling and robust measurement, prediction comes from identifying reliable relationships that can forecast outcomes, and hypothesis testing uses statistical comparisons to determine whether predicted effects hold. Case studies, however, focus on in-depth examination of one or a few cases and are typically qualitative in nature, emphasizing rich context rather than broad generalization or predictive power. Because of this emphasis on depth and context rather than broad, testable generalizations, case studies are not a typical or primary benefit of good quantitative research methods.