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Analysis of Survey Data

16 February, 2016 - 11:14

LEARNING OBJECTIVES

  1. Define response rate, and discuss some of the current thinking about response rates.
  2. Describe what a codebook is and what purpose it serves.
  3. Define univariate, bivariate, and multivariate analysis.
  4. Describe each of the measures of central tendency.
  5. Describe what a contingency table displays.

This text is primarily focused on designing research, collecting data, and becoming a knowledgeable and responsible consumer of research. We won’t spend as much time on data analysis, or what to do with our data once we’ve designed a study and collected it, but I will spend some time in each of our data-collection chapters describing some important basics of data analysis that are unique to each method. Entire textbooks could be (and have been) written entirely on data analysis. In fact, if you’ve ever taken a statistics class, you already know much about how to analyze quantitative survey data. Here we’ll go over a few basics that can get you started as you begin to think about turning all those completed questionnaires into findings that you can share.