Using Attributes of Survey Items to Predict Response Times May Benefit Survey Research-Reference-Cited by-同舟云学术

Using Attributes of Survey Items to Predict Response Times May Benefit Survey Research

Published:2022-05-20 Issue:2 Volume:35 Page:87-99
ISSN:1525-822X
Container-title:Field Methods
language:en
Short-container-title:Field Methods

Author:

Schneider Stefan¹²³,Jin Haomiao⁴,Orriens Bart⁴,Junghaenel Doerte U.¹²³,Kapteyn Arie⁴,Meijer Erik⁴,Stone Arthur A.¹²

Affiliation:

1. Center for Self-Report Science and Center for Economic and Social Research, University of Southern California, Los Angeles, CA, USA

2. Department of Psychology, University of Southern California, Los Angeles, CA, USA

3. Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA

4. Center for Economic and Social Research, University of Southern California, Los Angeles, CA, USA

Abstract

Researchers have become increasingly interested in response times to survey items as a measure of cognitive effort. We used machine learning to develop a prediction model of response times based on 41 attributes of survey items (e.g., question length, response format, linguistic features) collected in a large, general population sample. The developed algorithm can be used to derive reference values for expected response times for most commonly used survey items.

Funder

National Institute on Aging

Publisher

SAGE Publications

Subject

Anthropology

Link

http://journals.sagepub.com/doi/pdf/10.1177/1525822X221100904

Reference33 articles.

1. Can Survey Item Characteristics Relevant to Measurement Error Be Coded Reliably? A Case Study on 11 Dutch General Population Surveys

2. Using Natural Language Processing to Predict Item Response Times and Improve Test Construction

3. Response Latency as a Signal to Question Problems in Survey Research

4. The Quick and the Careless: The Construct Validity of Page Time as a Measure of Insufficient Effort Responding to Surveys

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