Photo‐Editing Scale: Development and Validation of a New Self‐Report Scale of Photo‐Editing Behaviors Among Chinese Females

A comprehensive measurement encompassing all photo‐editing techniques to assess photo‐editing behaviors remains absent. Based on 621 Chinese females, we developed and validated a self‐report scale to measure photo‐editing behaviors among Chinese females. In Study 1, experts classified photo‐editing techniques from mainstream apps into categories based on their functionalities. Initial items for the Photo‐Editing Scale (PES), comprising two subscales designed to measure the frequency and extent of participants’ photo‐editing behaviors, were developed. The final items of PES were determined via factor analyses. In Study 2, the validity and reliability of both subscales were examined. Findings revealed that each subscale, containing eight items associated with one factor, exhibited satisfactory internal consistency (McDonald ’ s omega = 0.91 for Photo‐Editing Extent subscale; McDonald ’ s omega = 0.85 for Photo‐Editing Frequency subscale), test–retest reliability, as well as discriminant, predictive, and convergent validity. The newly developed PES may help us better understand the photo‐editing behaviors and their impact on various mental health issues.

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Publication Details

Journal
Human Behavior and Emerging Technologies
Published
2025-01-01
DOI
https://doi.org/10.1155/hbe2/3064810
Citations
1
Primary Topic
Participatory Visual Research Methods
Type
article
Field-Weighted Citation Impact
4.20

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article

Photo‐Editing Scale: Development and Validation of a New Self‐Report Scale of Photo‐Editing Behaviors Among Chinese Females

Simin Xu, Yin Xu, Zeguang Wang, Jerry Zhuoer Feng
1 citations
Human Behavior and Emerging Technologies
Participatory Visual Research Methods
4.20
article

Photo‐Editing Scale: Development and Validation of a New Self‐Report Scale of Photo‐Editing Behaviors Among Chinese Females

Simin Xu, Yin Xu, Zeguang Wang, Jerry Zhuoer Feng
article en
1 citations

Abstract

A comprehensive measurement encompassing all photo‐editing techniques to assess photo‐editing behaviors remains absent. Based on 621 Chinese females, we developed and validated a self‐report scale to measure photo‐editing behaviors among Chinese females. In Study 1, experts classified photo‐editing techniques from mainstream apps into categories based on their functionalities. Initial items for the Photo‐Editing Scale (PES), comprising two subscales designed to measure the frequency and extent of participants’ photo‐editing behaviors, were developed. The final items of PES were determined via factor analyses. In Study 2, the validity and reliability of both subscales were examined. Findings revealed that each subscale, containing eight items associated with one factor, exhibited satisfactory internal consistency (McDonald ’ s omega = 0.91 for Photo‐Editing Extent subscale; McDonald ’ s omega = 0.85 for Photo‐Editing Frequency subscale), test–retest reliability, as well as discriminant, predictive, and convergent validity. The newly developed PES may help us better understand the photo‐editing behaviors and their impact on various mental health issues.

Human Behavior and Emerging TechnologiesVol. 2025(1)
Sichuan University (CN), Nanning Normal University (CN)
Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 6%
Participatory Visual Research Methods
4.20
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Photo‐Editing Scale: Development and Validation of a New Self‐Report Scale of Photo‐Editing Behaviors Among Chinese Females — Simin Xu, Yin Xu, et al. · Human Behavior and Emerging Technologies (2025) | TGRS Research Map | TGRS