A meta-analysis of longitudinal peer influence effects in childhood and adolescence.

心理学 背景(考古学) 发展心理学 多级模型 荟萃分析 同级组 同行评审 同侪效应 社会心理学 统计 内科学 生物 医学 古生物学 法学 数学 政治学
作者
Matteo Giletta,Sophia Choukas‐Bradley,Marlies Maes,Kathryn P. Linthicum,Noel A. Card,Mitchell J. Prinstein
出处
期刊:Psychological Bulletin [American Psychological Association]
卷期号:147 (7): 719-747 被引量:161
标识
DOI:10.1037/bul0000329
摘要

For decades, psychological research has examined the extent to which children’s and adolescents’ behavior is influenced by the behavior of their peers (i.e., peer influence effects). This review provides a comprehensive synthesis and meta-analysis of this vast field of psychological science, with a goal to quantify the magnitude of peer influence effects across a broad array of behaviors (externalizing, internalizing, academic). To provide a rigorous test of peer influence effects, only studies that employed longitudinal designs, controlled for youths’ baseline behaviors, and used “external informants” (peers’ own reports or other external reporters) were included. These criteria yielded a total of 233 effect sizes from 60 independent studies across four different continents. A multilevel meta-analytic approach, allowing the inclusion of multiple dependent effect sizes from the same study, was used to estimate an average cross-lagged regression coefficient, indicating the extent to which peers’ behavior predicted changes in youths’ own behavior over time. Results revealed a peer influence effect that was small in magnitude (β¯ = .08) but significant and robust. Peer influence effects did not vary as a function of the behavioral outcome, age, or peer relationship type (one close friend vs. multiple friends). Time lag and peer context emerged as significant moderators, suggesting stronger peer influence effects over shorter time periods, and when the assessment of peer relationships was not limited to the classroom context. Results provide the most thorough and comprehensive synthesis of childhood and adolescent peer influence to date, indicating that peer influence occurs similarly across a broad range of behaviors and attitudes. (PsycInfo Database Record (c) 2022 APA, all rights reserved)
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
xiao123789完成签到,获得积分10
刚刚
斗梅完成签到 ,获得积分10
1秒前
1秒前
yyY666发布了新的文献求助10
1秒前
青枝发布了新的文献求助20
2秒前
丘比特应助无情的子骞采纳,获得10
4秒前
Yi发布了新的文献求助10
4秒前
5秒前
舒一一发布了新的文献求助10
5秒前
5秒前
6秒前
6秒前
7秒前
贪玩的秋柔应助格格磊磊采纳,获得10
7秒前
7秒前
7秒前
wuli林完成签到,获得积分10
8秒前
科研通AI6.4应助yyuu采纳,获得10
8秒前
领导范儿应助陆南七采纳,获得30
8秒前
bkagyin应助墨维晟采纳,获得10
8秒前
Zora应助牛牛采纳,获得10
9秒前
zwd发布了新的文献求助10
9秒前
9秒前
袁寒烟发布了新的文献求助30
11秒前
Lio发布了新的文献求助30
13秒前
13秒前
脑洞疼应助卡皮巴拉桑采纳,获得10
13秒前
追寻凝荷发布了新的文献求助10
13秒前
心心发布了新的文献求助10
14秒前
15秒前
15秒前
godblessyou应助任性半凡采纳,获得10
15秒前
任从蓉发布了新的文献求助10
16秒前
Willa应助KYT2025采纳,获得20
16秒前
原12发布了新的文献求助10
17秒前
17秒前
18秒前
栗江南发布了新的文献求助10
18秒前
么么么发布了新的文献求助10
19秒前
FashionBoy应助舒一一采纳,获得10
19秒前
高分求助中
Overcoming Stigma and Bias in Obesity Management 1200
Signals, Systems, and Signal Processing 610
Software that combines deep learning,3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging 500
Bounds for Statistical Estimation in Semiparametric Models 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
Adhesion Science: Principles & Practice 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6492937
求助须知:如何正确求助?哪些是违规求助? 8290508
关于积分的说明 17691208
捐赠科研通 5585086
什么是DOI,文献DOI怎么找? 2915526
邀请新用户注册赠送积分活动 1892599
关于科研通互助平台的介绍 1750900