Evidence map›Paper›PMID 39950071›Full record

ArticleFrontiers in psychology2025

Development and validity test of impression management efficacy scale based on self-presentation behavior of Chinese youth on social media.

Yixuan Liu, Ke Lei

Abstract read
In one paragraph

Article in Frontiers in psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Article
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

2 authors.

Yixuan LiuSchool of Tourism and Media, Chongqing Jiaotong University, Chongqing, China.
Ke LeiSchool of Business Administration, Southwestern University of Finance and Economics, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: This study seeks to develop and validate a scale for assessing Impression Management Efficacy (IME) in the context of Chinese youth's self-presentation behaviors on social media. It aims to provide a comprehensive evaluation of their ability and self-efficacy in managing impressions within social media environments. Methods: For this study, 18 young individuals were selected to participate in in-depth interviews. The specific dimensions of IME were identified through the application of grounded theory categorization. Subsequently, specific measurement questions were formulated by referencing the impression management scale, the social self-efficacy scale, and insights from empirical interviews, leading to the preliminary compilation of the questionnaire. A total of 920 questionnaires were then distributed for a centralized investigation. The collected data underwent repeated testing to refine and finalize the questionnaire. Results: This study explores the relationship between self-presentation and IME in social media contexts. Through multiple tests and empirical data analysis, IME was delineated into five distinct dimensions: identity management strategy, self-impression management strategy, communication expression efficacy, protection strategy efficacy, and self-presentation efficacy, collectively encompassing 25 measurement items. The study is inherently exploratory in nature. Discussion: The concept of IME among young people is distinct yet related to traditional notions of impression management and social self-efficacy. While impression management primarily focuses on external behaviors, social self-efficacy assesses one's perceived social abilities. Both concepts, along with their measurement methods, tend to be relatively singular in focus. IME, however, is closely intertwined with these concepts but possesses a unique conceptual depth and theoretical significance, setting it apart as a multifaceted and nuanced construct.

Indexed as

impression management efficacyscale developmentself-presentationsocial mediayouth group

Identifiers

PMID39950071
PMCPMC11822685

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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.