Evidence map›Paper›PMID 37799827›Full record

ArticleField methods2023

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

Stefan Schneider, Haomiao Jin, Bart Orriens, Doerte U Junghaenel, Arie Kapteyn, Erik Meijer, Arthur A Stone

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Field methods, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Stefan SchneiderCenter for Self-Report Science & Center for Economic and Social Research, University of Southern California, Los Angeles, CA 90089-3332, USA.
Haomiao JinCenter for Economic and Social Research, University of Southern California, Los Angeles, CA, USA.
Bart OrriensCenter for Economic and Social Research, University of Southern California, Los Angeles, CA, USA.
Doerte U JunghaenelCenter for Self-Report Science & Center for Economic and Social Research, University of Southern California, Los Angeles, CA 90089-3332, USA.
Arie KapteynCenter for Economic and Social Research, University of Southern California, Los Angeles, CA, USA.
Erik MeijerCenter for Economic and Social Research, University of Southern California, Los Angeles, CA, USA.
Arthur A StoneCenter for Self-Report Science & Center for Economic and Social Research, University of Southern California, Los Angeles, CA 90089-3332, USA.

Funding

Enhancing engagement and participation of marginalized community residents in the UASU01AG077280 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Arie Kapteyn · 2023 to 2026
$50.9M
Toward Next Generation Data on Health and Life Changes at Older Ages: Administrative Supplement to track the effects of the COVID-19 pandemic on American familiesU01AG054580 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI KAPTEYN, ARIE · 2017 to 2022
$27.3M
Testing early markers of cognitive decline and dementia derived from survey response behaviorsR01AG068190 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Doerte Ulrike Junghaenel, Stefan Schneider · 2020 to 2026
$4.8M
NIA NIH HHS R01 AG068190NIA NIH HHS U01 AG054580NIA NIH HHS U01 AG077280
6 · The paper itself

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.

Identifiers

PMID37799827
PMCPMC10553081

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.