Journal Article

FZJ-2020-01765

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Attention check items and instructions in online surveys with incentivized and non-incentivized samples: Boon or bane for data quality?

Shamon, H. (Corresponding author)FZJ* ; Berning, C. C.

2020
Survey Research Methods Konstanz

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Please use a persistent id in citations: http://hdl.handle.net/2128/24692  doi:10.18148/SRM/2020.V14I1.7374

Abstract: In this paper, we examine rates of careless responding and reactions towards detection methods (i.e., attention check item and instruction) in an experimental setting based on two different samples. First, we use a quota sample (with monetary incentive), a central data source for internet-based surveys in sociological and political research. Second, we include a voluntary opt-in panel (without monetary incentive) well suited to conduct survey experiments (e.g., factorial surveys). Respondents’ reactions towards the detection items are analyzed by objective, non-reactive indicators (i.e., break-off, item nonresponse, and measurement quality), and two self-report scales. Our reaction analyses reveal that the detection methods that we applied are not only well suited to identify careless respondents but also exert a motivational rather than demotivating influence on respondents’ answer behavior and, hence, contribute to data quality.

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Contributing Institute(s):

1. Systemforschung und Technologische Entwicklung (IEK-STE)

Research Program(s):

1. 153 - Assessment of Energy Systems – Addressing Issues of Energy Efficiency and Energy Security (POF3-153) (POF3-153)

Appears in the scientific report 2020

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Database coverage:
; ; ; Clarivate Analytics Master Journal List ; Current Contents - Social and Behavioral Sciences ; DOAJ Seal ; IF < 5 ; JCR ; SCOPUS ; Social Sciences Citation Index

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