Data Collection Techniques

 

Background: As noted by Kirk (2019),  working with data, is one of the four stages of the visualization workflow.  According to Kirk (2019), A dataset is a collection of data values upon which a visualization is based. In this course, we will be using datasets that have already been collected for us – some cleaning has been done also. Data can be collected by various collection techniques.

Reference: Kirk, Andy. Data Visualization: A Handbook for Data Driven Design (pp. 95 -117). SAGE Publications.

Your Assignment:

Write and submit a paper that summarizes 3 data collection techniques (Interviews, Surveys, Observations, Focus Groups, etc.). Compare and contrast the 3 data collection techniques you selected. Lastly, what collection techniques do you prefer and why?

Your paper should be at least 2 pages (800 words), double-spaced, have at least 2 different APA references, and typed in an easy-to-read font in MS Word (other word processors are fine to use but save it in MS Word format).