Weaknesses of Quantitative Research

Study Notes

Category definitions may not align with local understandings, limiting relevance.
Focus on theory or hypothesis can overlook significant phenomena.
Results may be overly abstract and general, lacking contextual applicability.

Provides reliable and objective findings through systematic methods.
Utilizes statistical analysis to generalize results from a sample to a larger population.
Simplifies complex issues by focusing on fewer variables, enhancing clarity in research.

Emphasizes objectivity, distinguishing itself from qualitative approaches that prioritize personal experiences.
Examines relationships between variables and establishes cause-and-effect scenarios in controlled settings.

Encompasses the strategic framework used to address specific research questions.
Incorporates established theories and models to guide the study.

Experimental: Follows a structured protocol to investigate relationships through typically controlled scientific methods.
True Experimental: Allows manipulation of independent variables with random assignment to enhance validity.
Quasi-Experimental: Involves natural settings with non-randomized participant assignment.
Causal-Comparative: Explores cause-and-effect relationships between independent and dependent variables.
Non-Experimental: Observes phenomena without manipulating independent variables, focusing on the context of occurrence.

Conducted in controlled settings, facilitating the study of large subject groups.
Follows a systematic method of data gathering before analysis.
Employs standardized numerical data collection techniques to ensure consistency and replicability of findings.
Prioritizes testing and validating pre-constructed theories and hypotheses prior to data collection.