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DATA ANALYSIS, INTERPRETATION AND PRESENTATION

DATA ANALYSIS, INTERPRETATION AND PRESENTATIONOVERVIEW Qualitative and quantitative Simple quantitative analysis Simple qualitative analysis Tools to support data analysis Theoretical frameworks: grounded theory, distributed cognition, activity theory Presenting the findings: rigorous notations, stories, summariesWHY DO WE ANALYZE DATAThe purpose of analysing data is to obtain usable and useful information. The analysis, irrespective of whether the data is qualitative or quantitative, may: describe and summarise the data identify relationships between variables compare variables identify the difference between variables forecast outcomesSCALES OF , :thedatacanbeclassifiedintoanon-numerica lornamedcategories, scaleAn ordinal scale is where:the data can be classified into non-numerical or named categoriesan inherent order exists among the response scales are seen in questions th

Replicable but may lack richness. • Semi-structured - guided by a script but interesting issues can be explored in more depth. Can provide a good balance between richness and replicability. Simple qualitative analysis • Recurring patterns or themes –Emergent from …

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