Transcription of DATA ANALYSIS, INTERPRETATION AND PRESENTATION
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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 that call for ratings of quality (for example, very good, good, fair, poor, very poor) and agreement (for example, strongly agree, agree, disagree, strongly disagree).
Ordinal scales are seen in questions that call for ratings of quality (for example, very good, good, fair, ... 0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 1 3 5 7 9 11 13 15 17 User e Internet use < once a day once a day ... ‘average’ and can have very different answers for the same set of data •Grounded Theory, Distributed Cognition and Activity ...
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