Data Analysis, Data Wrangling, Data Interpretation, Cross-tabulation, Tri à plat, Data Extraction, Questionnaire Analysis, Interview Transcription
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Abstract
This document outlines the 3 phases of data analysis: Data Wrangling, Analysis, and Interpretation, as well as 2 types of open-ended question analysis.
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[...] size, weight, precise age, number of children ? calculate the median and the mean Treatment of open-ended questions: Categorization of responses ? consists of closing questions at the time of analysis / all the responses that are similar, we group them under the same category / But we can also use it to illustrate and therefore we do not group. 2 types of open-ended question analysis: Tri à plat = question by question = one variable Cross-tabulation = two variables (or ? [...]
[...] Data Analysis Method - How to Analyze Data ? - 3 phases of treatment: - Data Wrangling ? data reading and formatting - Analysis ? second reading to go into more details / what the data is telling us / what it means / making the data speak - Interpretation ? What conclusions can be drawn from the analysis of the data? It is always necessary to keep in mind the objectives and initial questions of the investigation. I. Data extraction Serves to provide an overall view of what has been done and to check that the answers are completed. [...]
[...] count the number of responses given by questions Drawing conclusions from numbers One question = one indicator (one answer) = one variable (an answer that varies from one answer to another) 3 types of variables: Nominal ? list of distinct answers whose order does not matter ? what matters is counting the number of people who use this or that network Ordered ? order of idea ? age class = between such and such age / Answers: never, often, rarely? ? looking for the median to see where people are Numerical ? [...]
