Quantitative Data Analysis and Evaluation
This chapter begins with decisions about data-analysis approaches, and includes descriptive and inferential options. It offers researchers ways to visually depict data and describe one variable in a study with measures of central tendency and variation. Ways to use bivariate measures of association and statistical analysis for multiple variables in a study are covered. Gerontological examples from published studies are provided to illustrate all analysis methods discussed. The chapter discusses ways of ensuring quality and reliability and validity in analysis with an age-based depression example. It also includes a section about how to develop new measures for use with older populations. The chapter presents the role of a researcher as part of a quantitative research team and unique ethical considerations of quantitative designs with older persons. It concludes with detailed steps in the process of writing up and evaluating quantitative work.