Cross-Sectional Survey and Multiple Correspondence Analysis of Financial Manager Behavior

This chapter is an applied example that explains how an empirical study was designed. The author’s ideology was stated in the study as positivistic. The cross-sectional survey is a technique that employs a questionnaire to collect data from human participants. Correspondence analysis is considered a de facto method although it is often described in the literature as a statistical technique in the general analytics method. An outline of the topics from the manuscript is given to illustrate the customary structure of a peer-reviewed article in the business and management discipline. Subsequent sections explain how each part of the paper relates to the research design typology. The applied example was based on an article published in the Journal of Asset Management. This was a relevant article to illustrate how various qualitative and quantitative techniques were integrated in the general analytics method, and especially how to collect qualitative data representing self-reports of professional behavior (financial portfolio asset managers were sampled from New York Stock Exchange listed companies).