A novel method for detecting careless respondents in survey data: floodlight detection of careless respondents

Volkan Dogan ()
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Volkan Dogan: Eskisehir Osmangazi University

Journal of Marketing Analytics, 2018, vol. 6, issue 3, No 4, 95-104

Abstract: Abstract The current paper proposes a novel method for detecting careless respondents, namely, floodlight detection of careless respondents. This novel method consists of two steps: (1) creating a nonsense regression model and (2) testing a moderator role of response time on the nonsense regression model. An illustration of the floodlight detection of careless respondents method was performed with online survey data collected from 341 Turkish participants. The floodlight detection of careless respondents method is the first systematic approach to calculate a cut-off value for response time, which distinguishes careless respondents from careful respondents. According to the results of floodlight detection of careless respondents, the percentage of careless respondents was 59.8%, which is little higher than the percentage of careless respondents calculated through Instructional Manipulation Check (40.7%) and bogus item (44.2%). The floodlight detection of careless respondents method is described herein, and implications are provided for future research.

Keywords: Floodlight detection of careless respondents; Careless responding; Response time; Johnson–Neyman technique; Survey data quality; Marketing research (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1057/s41270-018-0035-9

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