Common Biases In Business Research

Hiba Massoud, Sulaiman Mouselli

Research output: Chapter in Book/Report/Conference proceedingChapter

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Abstract

In research, bias occurs when an error is introduced into sampling or testing which results in selecting or encouraging one outcome, conclusion, or answer over others. Bias can happen at any phase of research, including study design, methodology selection, data collection, and stating conclusions [1]. Given the significant threats of these biases on the reliability and validity of research conclusions, understanding different types of biases, their consequences, and treatment methods is the corner stone in avoiding such biases and an important step in critically evaluating research. This chapter discusses biases that are common in quantitative research, biases associated with quantitative research and biases that usually occur in quantitative research using qualitative data. It will focus on introducing business researchers to their definitions and sources. The chapter also suggests methods to uncover those biases and provides remedies and ways to deal with such biases.
Original languageEnglish
Title of host publicationModernizing the Academic Teaching and Research Environment
Subtitle of host publicationMethodologies and Cases in Business Research
EditorsJorge Marx Gómez, Sulaiman Mouselli
PublisherSpringer International Publishing
Pages97-109
Number of pages13
Edition1
ISBN (Electronic)978-3-319-74173-4
ISBN (Print)978-3-319-74172-7
DOIs
Publication statusPublished - 2018

Publication series

NameProgress in IS
ISSN (Print)2196-8705
ISSN (Electronic)2196-8705

Keywords

  • Business Research
  • Biases
  • Quantitative Business Research
  • Data Mining
  • Qualitative Business Research

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  • Cite this

    Massoud, H., & Mouselli, S. (2018). Common Biases In Business Research. In J. M. Gómez, & S. Mouselli (Eds.), Modernizing the Academic Teaching and Research Environment: Methodologies and Cases in Business Research (1 ed., pp. 97-109). [6] (Progress in IS). Springer International Publishing. https://doi.org/10.1007/978-3-319-74173-4