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Data Collection, Control, and Sample Size

  • J. Christopher Westland
Chapter
Part of the Studies in Systems, Decision and Control book series (SSDC, volume 22)

Abstract

Models are only as good as the data that they analyze—“garbage in, garbage out.” Unfortunately, data-model duality and data-model fit are often overlooked in theory-driven research. This chapter explores the many considerations that are necessary for proper collection of data and credible conduct of research. The chapter covers important concepts in causality, data adequacy, resampling, screening, exploratory data analysis, the nature of latent constructs, and the role of data in research.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Information & Decision SystemsUniversity of Illinois at ChicagoChicagoUSA

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