Comparing the efficacy of faking warning types in preemployment personality tests: A meta-analysis.

心理学 人格 荟萃分析 应用心理学 成对比较 人格评估量表 五大性格特征 社会心理学 心理干预 欺骗 临床心理学 发展心理学 精神科 医学 内科学
作者
Benjamin Moon,Kabir N. Daljeet,Thomas A. O’Neill,Harley Harwood,Wahaj Awad,Leonid V. Beletski
出处
期刊:Journal of Applied Psychology [American Psychological Association]
卷期号:110 (1): 131-147 被引量:3
标识
DOI:10.1037/apl0001224
摘要

Numerous faking warning types have been investigated as interventions that aim to minimize applicant faking in preemployment personality tests. However, studies vary in the types and effectiveness of faking warnings used, personality traits, as well as the use of different recruitment settings and participant samples. In the present study, we advance a theory that classifies faking warning types based on ability, opportunity, and motivation to fake (Tett & Simonet, 2011), which we validated using subject matter expert ratings. Using this framework as a guide, we conducted a random-effects pairwise meta-analysis (k = 34) and a network meta-analysis (k = 36). We used inverse-variance weighting to pool the effect sizes and relied on 80% prediction intervals to evaluate heterogeneity. Overall, faking warnings had a significant, moderate effect in reducing applicant faking (d = 0.31, 95% CI [0.23, 0.39]). Warning types that theoretically targeted ability, motivation, and opportunity to fake (d = 0.36, 95% CI [0.25, 0.47]) were the most effective. Additionally, warnings were least effective in studies using recruitment settings and nonuniversity student samples. However, all effect sizes contained substantial heterogeneity, and all warning types will be ineffective in some contexts. Organizations should be cognizant that warnings alone may not be sufficient to address applicant faking, and future research should explore how their effectiveness varies depending on other contextual factors and applicant characteristics. (PsycInfo Database Record (c) 2024 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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
情怀应助高大的高山采纳,获得10
1秒前
2秒前
飞快的从彤完成签到 ,获得积分20
2秒前
3秒前
0713发布了新的文献求助10
3秒前
3秒前
3秒前
4秒前
5秒前
Alice0210发布了新的文献求助10
6秒前
英姑应助胡涵暄采纳,获得10
6秒前
善学以致用应助无非采纳,获得10
7秒前
孤独的太清完成签到 ,获得积分10
7秒前
涵泽发布了新的文献求助10
8秒前
8秒前
Suyx发布了新的文献求助10
8秒前
9秒前
ding应助Antares采纳,获得10
9秒前
田様应助烂漫凝竹采纳,获得10
9秒前
科研通AI6应助cjch2025采纳,获得10
9秒前
未道发布了新的文献求助10
10秒前
星辰大海应助xiaobai采纳,获得10
10秒前
天将明完成签到,获得积分10
10秒前
11秒前
12秒前
科研通AI6应助djbj2022采纳,获得10
12秒前
xiaohuang发布了新的文献求助10
12秒前
vividkingking发布了新的文献求助10
12秒前
NexusExplorer应助吴念采纳,获得10
14秒前
14秒前
KKKZ完成签到,获得积分10
15秒前
大胆傲芙完成签到,获得积分10
16秒前
今后应助高宇晖采纳,获得10
16秒前
凉秋气爽完成签到,获得积分10
17秒前
17秒前
盖亚奇应助ocean采纳,获得20
18秒前
浮游应助天将明采纳,获得10
19秒前
20秒前
20秒前
20秒前
高分求助中
Encyclopedia of Quaternary Science Third edition 2025 12000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
HIGH DYNAMIC RANGE CMOS IMAGE SENSORS FOR LOW LIGHT APPLICATIONS 1500
The Social Work Ethics Casebook: Cases and Commentary (revised 2nd ed.). Frederic G. Reamer 800
Beyond the sentence : discourse and sentential form / edited by Jessica R. Wirth 600
Holistic Discourse Analysis 600
Vertébrés continentaux du Crétacé supérieur de Provence (Sud-Est de la France) 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5342918
求助须知:如何正确求助?哪些是违规求助? 4478608
关于积分的说明 13940254
捐赠科研通 4375531
什么是DOI,文献DOI怎么找? 2404114
邀请新用户注册赠送积分活动 1396625
关于科研通互助平台的介绍 1368965