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Qualitative vs quantitative data - infographic

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An infographic that explains what is the difference between qualitative and quantitative data and analysis.

Published in: Data & Analytics
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Qualitative vs quantitative data - infographic

  1. 1. Qualitative data is information that can’t be expressed as a number Quantitative data is data that can be expressed as a number or can be quantified Qualitative Data VS Quantitative  Data Basis for Comparison Definition Can data be counted? NO YES Data type Words, objects, pictures, observations, and symbols Number and statistics
  2. 2. How and why this has happened? “how many, “how much” and “how often” Questions that data answer Examples Scores on tests and exams e.g. 85, 67, 90 and etc. The weight of a person or a subject Your shoe size Names as John, Maria,… Ethnicity such as American Indian, Asian, etc. Colors e.g. green, white, blue Purposes of data analysis Understand, explain, and interpret social interactions and patterns Test hypothesis, develop predictions for the future, check cause and effect Types of data analysis Patterns, characteristics, theme identification Statistical relationship identification
  3. 3. Less generalizable, particular findings. Do not drive conclusions and generalizations across a population Generalizable findings. Draw conclusions and trends about a large population based on a sample taken from it Scope of the results Popular methods of data analysis Linear regression models Logistic regression Analysis of Variance (ANOVA) Statistical significance Correlation analysis Central tendency Dispersion  Distribution Content analysis  Thematic analysis Discourse analysis Grounded theory Conversation analysis  http://intellspot.com

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