QRD

Quantitative research designs are essential for producing precise numerical data and making quantitative predictions. These designs are particularly beneficial when studying large groups, as data analysis tends to be less time-consuming and the results are relatively independent of the researcher'

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av Ahmed Hussain Salih

av Noah Campbell

av Mindomo Team

av Kezia Bailey

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

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

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

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

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

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