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

Kenneth D. Strang

Chapter 14 in The Palgrave Handbook of Research Design in Business and Management, 2015, pp 223-238 from Palgrave Macmillan

Abstract: Abstract 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).

Keywords: American Psychological Association; Portfolio Management; Asset Manager; Multiple Correspondence Analysis; Discount Cash Flow (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:pal:palchp:978-1-137-48495-6_14

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DOI: 10.1057/9781137484956_14

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