Evidence map›Paper›PMID 36719490›Full record

ArticleArchives of sexual behavior2023

The Effect of Face-Voice Gender Consistency on Impression Evaluation.

Fangfang Wen, Jia Gao, Wenlin Ke, Bin Zuo, Yu Dai, Yiyan Ju, Jiahui Long

Abstract read
PubMed Publisher
In one paragraph

Article in Archives of sexual behavior, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

7 authors at 1 institution in 1 country.

Fangfang Wen *School of Psychology, Center for Studies of Social Psychology, Central China Normal University, Wuhan, 430079, China.
Jia Gao *School of Psychology, Center for Studies of Social Psychology, Central China Normal University, Wuhan, 430079, China.
Wenlin KeSchool of Psychology, Center for Studies of Social Psychology, Central China Normal University, Wuhan, 430079, China.
Bin ZuoSchool of Psychology, Center for Studies of Social Psychology, Central China Normal University, Wuhan, 430079, China. zuobinccnu123@163.com.
Yu DaiSchool of Psychology, Center for Studies of Social Psychology, Central China Normal University, Wuhan, 430079, China.
Yiyan JuSchool of Psychology, Center for Studies of Social Psychology, Central China Normal University, Wuhan, 430079, China.
Jiahui LongSchool of Psychology, Center for Studies of Social Psychology, Central China Normal University, Wuhan, 430079, China.
Central China Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Face and voice are important information cues of interpersonal interaction. Most previous studies have investigated the cross-modal perception of face and voice from the perspective of cognitive psychology, but few empirical studies have focused on the effect of gender consistency of face and voice on the impression evaluation of the target from the perspective of social cognition. Based on the two-stage model of stereotype activation and the stereotype content model, this research examined the effects of face-voice gender consistency on impression evaluation (gender categorization and warmth competence evaluation) by using a cross-modal priming paradigm (Study 1, 20 males and 23 females, M

Indexed as

Gender IdentityVoiceAdolescentAdultCuesFemaleHumansMaleSexual BehaviorStereotypingYoung AdultCross-modal primingFace–voice gender consistencyGender roleImpression evaluationSequential presentation evaluation taskSimultaneous presentation evaluation task

Identifiers

PMID36719490
OpenAlexW4318669710

What OpenQuestion holds

Textmetadata
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.