Evidence map›Paper›PMID 37492450›Full record

ArticleFrontiers in psychology2023

The development and validation of the Chinese safety climate scale using the item-response theory approach.

Xiaokang Lyu, Binlin Zhao, Tingting Yang, Li Zhao

Abstract read
In one paragraph

Article in Frontiers in psychology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Xiaokang LyuDepartment of Social Psychology, Zhou Enlai School of Government, Nankai University, Tianjin, China.
Binlin ZhaoShanghai International Theme Park Co., Ltd., Shanghai, China.
Tingting YangDepartment of Social Psychology, Zhou Enlai School of Government, Nankai University, Tianjin, China.
Li ZhaoDepartment of Social Psychology, Zhou Enlai School of Government, Nankai University, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: To develop a valid and practical tool to measure the safety climate in China, and further raise awareness of it in Chinese industries, we developed the Chinese safety climate scale (including two subscales at the levels of organization and group separately) based on the work of Huang et al. in 2017. Methods: A descriptive survey with the convenience sampling method was conducted in Shanghai Disney Resort, China. A sample of 1,570 employees was involved in the final data analyses. The item response theory (IRT) analyses with graded response models were conducted using. Results: The unidimensionality and local independence assumption were held. The Cronbach's α of organization- and group- level safety climate subscale was 0.912 and 0.937, respectively. The confirmatory factor analysis (CFA) showed good model fit for a one-factor model of the organization-level safety climate subscale, χ Discussion: The Chinese safety climate scale was reliable and valid overall. They can facilitate the research and survey regarding the safety climate in China.

Indexed as

Chinese safety climate scalegroup-levelitem response theoryorganization-levelsafety climate

Identifiers

PMID37492450
PMCPMC10365289

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.