Evidence map›Paper›PMID 33569031›Full record

ArticleFrontiers in psychology2021

Construct Validity and Test-Retest Reliability of the Automated Vehicle User Perception Survey.

Justin Mason, Sherrilene Classen, James Wersal, Virginia Sisiopiku

Abstract read
In one paragraph

Article in Frontiers in psychology, 2021. 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

4 authors.

Justin MasonDepartment of Occupational Therapy, University of Florida, Gainesville, FL, United States.
Sherrilene ClassenDepartment of Occupational Therapy, University of Florida, Gainesville, FL, United States.
James WersalDepartment of Occupational Therapy, University of Florida, Gainesville, FL, United States.
Virginia SisiopikuDepartment of Civil, Construction, and Environmental Engineering, University of Alabama at Birmingham, Birmingham, AL, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fully automated vehicles (AVs) hold promise toward providing numerous societal benefits including reducing road fatalities. However, we are uncertain about how individuals' perceptions will influence their ability to accept and adopt AVs. The 28-item Automated Vehicle User Perception Survey (AVUPS) is a visual analog scale that was previously constructed, with established face and content validity, to assess individuals' perceptions of AVs. In this study, we examined construct validity, via exploratory factor analysis and subsequent Mokken scale analyses. Next, internal consistency was assessed via Cronbach's alpha (α) and 2-week test-retest reliability was assessed via Spearman's rho (ρ) and intraclass correlation coefficient (ICC). The Mokken scale analyses resulted in a refined 20-item AVUPS and three Mokken subscales assessing specific domains of adults' perceptions of AVs: (a)

Indexed as

automated vehiclesexploratory factor analysisMokken scale analysistechnology acceptancetest–retest reliabilityuser perception survey

Identifiers

PMID33569031
PMCPMC7868437

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.