Chapter 7 Data analysis and reporting
Open access

The chapter discusses topics that link data analysis and reporting to the questionnaire design and survey method: survey characteristics that may affect data analysis, such as the use of weighting and methods for dealing with “don’t know” responses and inter-rater variability in analyses; and statistical models for multivariate analyses. Statistical issues such as the choice of a statistical model, common method bias, the effect of question filters, and the use of statistical probability need to be considered before completing the design of the questionnaire and survey methodology to minimize future problems during data analysis. In addition, journal articles based on survey data need to report full methodological information so that readers can assess the quality of the survey data.