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Cl 143391 xRElw Specific Requirement 143391 (1)

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Research Design Ontological view Epistemological view Methodology Quantitative (deductive – top down) Qualitative (inductive – bottom up) 3 Quantitative Vs Qualitative Data  Quantitative: numerical & quantifiable (e.g., ratings, speed, distance, accuracy) ◦ ‘hard’, ‘rigorous’, ‘scientific’?  Qualitative: more than text and words (e.g., sound, videos, eye movements, pictures) ◦ ‘sensitive’, ‘contextual’, ‘detailed’, ‘observed’?  Some debate in social sciences about which is most useful – although often not productive! Quantitative - Numerical Data        OBJECTIVE Measured or identified on a numerical scale Often use questionnaires (closed questions), demographic data, measurements, etc. Outcomes can be plotted using graphs, charts or histograms, or displayed in tables Can be analysed using statistical techniques We look for trends and patterns in the numbers Simple examples: ◦ Counts  ◦ Number of males v females; ticking yes or no box; ticking preferences Measurements  BMI; blood pressure; speed; perceived exertion; alcohol units per week  More Health examples? Qualitative Methods        SUBJECTIVE Qualitative methods – non quantifiable, focus on values, processes, experiences, thoughts, feelings language, body language and meaning. Data is often words/text/behaviour. We look for trends and patterns in the words spoken and behaviour displayed betw ...
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