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Quantitative Research Designs

Characteristics

Weaknesses

Researcher’s categories that are used might not reflect local constituencies’ understandings

Researcher’s theories that are used might not reflect local constituencies’ understandings

Researcher might miss out on phenomena occurring because of the focus on theory or hypothesis testing rather than on theory or hypothesis generation

Knowledge produced might be too abstract and general for direct application to specific local situations, contexts, and individuals

Strengths

Useful for obtaining data that allow quantitative predictions to bemade

It is useful for studying large numbers of people

Provides precise, quantitative, numerical data

Data analysis is relatively less time consuming

The research results are relatively independent of the researcher

Research Design

Non- Experimental

Descriptive

1. Survey 2. Correlational 3. Ex- Post Facto Studies 4. Comparative 5. Evaluative 6. Methodological

Experimental

Pre-Experimental

1. One Shot Case Study 2. One Group Pre- Test Post- Test Design

Quasi-Experimental

1. Non-equivalent Control Group Design 2. Time Series Design

True Experimental

1. Pre- Test Design 2. Post- Test Design 3. Post- Test/only Control