Advertisement

From Disarray to Dataset

  • Thomas Cleff
Chapter

Abstract

Let us begin with the first step of the intelligence cycle: data collection. Many businesses gather crucial information—on expenditures and sales, say—but few enter it into a central database for systematic evaluation. The first task of the statistician is to mine this valuable information. Often, this requires skills of persuasion: employees may be hesitant to give up data for the purpose of systematic analysis, for this may reveal past failures.

References

  1. Carifio, J., Perla, R. (2008). Resolving the 50-year debate around using and misusing Likert scales. Medical Education, 42, 1150–1152.CrossRefGoogle Scholar
  2. Faulkenberry, G. D., Mason, R. (1978). Characteristics of nonopinion and no opinion response groups. Public Opinion Quarterly, 42, 533–543.CrossRefGoogle Scholar
  3. Malhotra, N. K. (2010). Marketing Research. An Applied Approach Global Ed.). London: Pearson.Google Scholar
  4. Pell, G. (2005). Use and misuse of Likert scales, Medical Education, 39, 970.CrossRefGoogle Scholar
  5. Roderick, J.A. Little, Schenker, N. (1995). Missing Data. In: G. Arminger, C.C. Clogg & M.E. Sobel (Eds.), Handbook of Statistical Modelling for the Social and Behavioral Sciences. London and New York: Plenum Press, 39–75.Google Scholar
  6. Schmidt, P., Opp, K.-D. (1976). Einführung in die Mehrvariablenanalyse. Reinbek/Hamburg: Rowohlt.Google Scholar
  7. Schumann, H., Presser, S. (1981). Questions and Answers in Attitude Surveys, New York: Academic Press.Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Thomas Cleff
    • 1
  1. 1.Pforzheim Business SchoolPforzheim University of Applied SciencesPforzheimGermany

Personalised recommendations