Mei Zhang

Dr. Mei Zhang


Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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6 September 2024 in Current Psychology
Verified
Journal Article
Closed access
PDF file
MZMei Zhang
Mei Zhang
HWHaotian Wu
Haotian Wu
YHYang Huang
Yang Huang
RHRuibing Han
Ruibing Han
XFXinyuan Fu
Xinyuan Fu
SLShuer Liang
Shuer Liang

14 June 2024 in Acta Psychologica
Verified
Journal Article
Open access
XFXinyuan Fu
Xinyuan Fu
MZMengyuan Zhang
Mengyuan Zhang
KZKeke Zhu
Keke Zhu
SLShuxian Li
Shuxian Li
RFRuoran Fu
Ruoran Fu
JDJiaxin Duan
Jiaxin Duan
This research investigated the relationships between school climates and bullying behaviors in Chinese adolescents, and tested the mediating effect of prosocial tendency according to the seesaw effect. School climates were operationalized using three constructs: subjective diversity of student development goals, teacher support, and peer trust. Bullying behaviors included traditional (i.e., physical, nonphysical, and relational) and cyber bullying behaviors. We recruited 538 adolescents from three schools in Beijing, China (286 girls, 252 boys; average age = 12.47) and asked them to fill out the surveys measuring school climates and prosocial tendency at the outset and to report school bullying behaviors three months later. The results showed that subjective diversity of student development goals and peer trust were directly associated with less cyber bullying behavior. Moreover, teacher support and peer trust were indirectly associated with less traditional bullying behaviors via prosocial tendency. Our findings extend the existing literature on the relationships between school climates and bullying behaviors by incorporating different types of bullying behaviors, concentrating on Chinese adolescents from a cultural viewpoint, and tapping into the underlying mechanism via revealing prosocial tendency as a mediator. Theoretical and empirical contributions of this study, as well as practical implications are discussed.

5 September 2024 in PLOS ONE
Verified
Journal Article
Open access
PDF file
XFXinyuan Fu
Xinyuan Fu
RFRuoran Fu
Ruoran Fu
SLShuxian Li
Shuxian Li
XDXiaona Du
Xiaona Du
MZMei Zhang
Mei Zhang
GLGuixin Li
Guixin Li
In this study, health risk attitude and health locus of control were included as dispositional factors in the Protection Motivation Theory (PMT) to explain people’s protective behavior in the context of COVID-19 pandemic. Empirical data involved two waves of data with a sample of 526 adults with full-time jobs from Beijing, China, and structural equation model results confirmed a partial successful extension of the PMT. Specifically, health risk attitude had a direct effect on citizens’ protective behavior, but without an indirect effect mediated by threat appraisal toward the COVID-19 pandemic; health locus of control did not directly associate with citizens’ protective behavior, but had an indirect effect on it fully via coping appraisal toward the COVID-19 pandemic. Thus, the PMT has been extended by adding a distal dispositional factor on the impact of coping appraisal on protective behavior. Implications for advancing the government’s anti-epidemic strategy are discussed.

3 December 2023 in International Journal of Psychology
Verified
Journal Article
Closed access
SLShuxian Li
Shuxian Li
XFXinyuan Fu
Xinyuan Fu
MZMengyuan Zhang
Mengyuan Zhang
RFRuoran Fu
Ruoran Fu
MZMei Zhang
Mei Zhang
YKYu Kou
Yu Kou

22 February 2023 in International Journal of Psychology
Verified
Journal Article
Closed access
XFXinyuan Fu
Xinyuan Fu
KZKeke Zhu
Keke Zhu
SLShuxian Li
Shuxian Li
MZMei Zhang
Mei Zhang
YKYu Kan
Yu Kan
MZMengyuan Zhang
Mengyuan Zhang

16 September 2026 in Humanities and Social Sciences Communications
Verified
Journal Article
Open access
PDF file
SDShuheng Ding
Shuheng Ding
MZMei Zhang
Mei Zhang
SHSilin Huang
Silin Huang
SGSipu Guo
Sipu Guo
Negativity bias in online reading widely occurs and leads to harmful results at the individual and social levels, but few studies have examined how to reduce this bias from the perspective of lexical processing. This study examined whether and how high lexical construal levels decrease negativity bias through a recognition memory experiment (Study 1) and an eye-tracking experiment (Study 2). In Study 1 (N = 70), results showed a negativity bias in recognition memory, which was attenuated under high construal levels, primarily through a reduction in the discrimination sensitivity (A’) advantage for negative words. In Study 2 (N = 53), eye-tracking revealed that at low construal levels, negative words were processed more quickly than positive words, indicating automated processing. Critically, at high construal levels, this pattern reversed, with positive words being processed more efficiently. These findings demonstrate that high lexical construal levels reduce negativity bias not by equalizing processing, but by attenuating the automatic advantage for negative words and shifting efficiency toward positive information.