The Big Duplicity of Big Data

As discussed in Guzzo, Fink, King, Tonidandel, and Landis's (2015) focal article, big data is more than a passing trend in business analytics. The plethora of information available presents a host of interesting challenges and opportunities for industrial and organizational (I-O) psychology. Wh...

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Bibliographic Details
Published inIndustrial and organizational psychology Vol. 8; no. 4; pp. 509 - 515
Main Authors Whelan, Thomas J., DuVernet, Amy M.
Format Journal Article
LanguageEnglish
Published New York, USA Cambridge University Press 01.12.2015
Subjects
Big Data
Commentaries
Datasets
Hypotheses
Investigations
Statistical power
Statistical significance
Threats
Validation studies
Validity
Variables
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Summary:As discussed in Guzzo, Fink, King, Tonidandel, and Landis's (2015) focal article, big data is more than a passing trend in business analytics. The plethora of information available presents a host of interesting challenges and opportunities for industrial and organizational (I-O) psychology. When utilizing big data sources to make organizational decisions, our field has a considerable amount to offer in the form of advice on how big data metrics are derived and used and on the potential threats to validity that their use presents. We’ve all heard the axiom, “garbage in, garbage out,” and that applies regardless of whether the scale is a small wastebasket or a dump truck.
ISSN:1754-9426
1754-9434
DOI:10.1017/iop.2015.75