CHAPTER 14: QUANTITATIVE DATA ANALYSIS
LEARNING OBJECTIVES
Upon completion of this chapter, the student should be able to:
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Define quantitative analysis.
Describe the coding process and compare two approaches to developing code categories.
Offer some advice for coding a set of data.
Identify two functions of codebooks.
Present some of the common elements in codebook formats.
Describe several ways for entering data.
Define and give examples of univariate analysis.
Define and explain the utility of frequency distributions and marginals.
Explain how to calculate percentages.
Define central tendency.
Compare the mode, mean, and median in terms of calculation and interpretation.
Describe the information provided by measures of dispersion.
Compare the range, standard deviation, and interquartile range in terms of calculation and
interpretation.
Distinguish continuous variables from discrete variables by definition and example.
Provide guidelines for balancing the demands of detail versus manageability of data
presentation.
Differentiate the goals of univariate, bivariate, and multivariate analyses.
Identify the goal of subgroup comparisons.
Explain two techniques for handling the “don't know” response.
Differentiate dependent variable from independent variable by definition and example.
Describe how bivariate tables are presented and analyzed.
Explain how multivariate tables are presented and analyzed.
Describe how ethical concerns enter into quantitative data analysis.