Evidence map›Paper›PMID 35058853›Full record

ArticleFrontiers in psychology2021

Development and Psychometric Evaluation of the Gender Identity Scale for Transgender Women in China.

Meng Han, Bailin Pan, Yuanyuan Wang, Amanda Wilson, Runsen Chen, Rengang Wu

Open access · goldAbstract 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 30% of its field
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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

6 authors at 4 institutions in 2 countries.

Meng HanDepartment of Medical Psychology, The School of Health Humanities, Peking University, Beijing, China.
Bailin PanDepartment of Plastic Surgery, Transgender Clinic, Peking University Third Hospital, Beijing, China.
Yuanyuan WangDivision of Psychology, Faculty of Health and Life Sciences, De Montfort University, Leicester United Kingdom.
Amanda WilsonDivision of Psychology, Faculty of Health and Life Sciences, De Montfort University, Leicester United Kingdom.
Runsen ChenVanke School of Public Health, Tsinghua University, Beijing, China.
Rengang WuDepartment of Medical Psychology, The School of Health Humanities, Peking University, Beijing, China.
De Montfort University · GBPeking University · CNPeking University Sixth Hospital · CNVanke (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transgender women are an important subgroup of the transgender umbrella and have their own unique gender identity. This article aimed to understand and measure the latent concept of gender identity among Chinese transgender women from a multi-dimensional perspective. Through a two-phase, iterative scale development process, we developed the Gender Identity Scale for Transgender Women (GIS-TW) in Chinese. Literature reviews, expert consultations, and focus groups constitute phrase 1 of the study, which resulted in the first version of GIS-TW with 30 items. In phrase 2, exploratory factor analysis on a sample of 244 Chinese transgender women revealed a six-factor solution across the 22 items. The Bem Sex Role Inventory was included to test for convergent validity, and the Rosenberg Self-Esteem Scale was used to test discriminant validity. Then we conducted the confirmatory factor analysis with an independent sample of 420 Chinese transgender women, which produced the final version of GIS-TW with 21 items. The internal consistency (Cronbach's alpha = 0.71-0.87) and test-retest stability (

Indexed as

Chinesefactor analysisgender identitypsychometricsscale developmenttransgender women

Identifiers

PMID35058853
PMCPMC8763696
OpenAlexW4205139690

What OpenQuestion 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 OpenQuestion graph.