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Sources of bias in the recall of self-generated data: the role of anchoring

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Fraser, Stuart, Greene, Francis J. and Mole, Kevin, 1961-. (2007) Sources of bias in the recall of self-generated data: the role of anchoring. British Journal of Management, Vol.18 (No.2). pp. 192-208. ISSN 1045-3172

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Official URL: http://dx.doi.org/10.1111/j.1467-8551.2006.00510.x

Abstract

This study examines two issues. First, we assess the reliability of employment data self-generated by respondents using a survey panel of 280 firms surveyed in 1999 and again in 2002. Our results show that there is a close correlation between self-generated and archival secondary data. Second, we test for bias in the recall of previous years' employment levels and the sources of such bias. We assess three reasons for recall bias: respondent-level factors; firm-level factors; and anchoring. Our regression results indicate that: owners and new respondents; those in firms that changed legal status and/or location; those in smaller firms; and those in growing or declining firms were biased in their recall of prior employment. In addition, growing firms tended to underestimate their growth, which points to anchoring as an explanation for these biases. These biases imply that we have to be careful in delineating performance measures and cautious about how we interpret self-generated managerial information.

Item Type: Journal Article
Subjects: H Social Sciences > HF Commerce
H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
Divisions: Faculty of Social Sciences > Warwick Business School
Journal or Publication Title: British Journal of Management
Publisher: Wiley-Blackwell Publishing Ltd.
ISSN: 1045-3172
Date: June 2007
Volume: Vol.18
Number: No.2
Number of Pages: 17
Page Range: pp. 192-208
Identification Number: 10.1111/j.1467-8551.2006.00510.x
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
URI: http://wrap.warwick.ac.uk/id/eprint/31728

Data sourced from Thomson Reuters' Web of Knowledge

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