• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

平均零效应个体差异的意义。

Implications of individual differences in on-average null effects.

机构信息

Department of Psychology, University of Otago.

Department of Psychology, University of Potsdam.

出版信息

J Exp Psychol Gen. 2018 Mar;147(3):377-397. doi: 10.1037/xge0000367. Epub 2017 Oct 23.

DOI:10.1037/xge0000367
PMID:29058941
Abstract

Most psychological models are intended to describe processes that operate within each individual. In many research areas, however, models are tested by looking at results averaged across many individuals, despite the fact that such averaged results may give a misleading picture of what is true for each one. We consider this conundrum with respect to the interpretation of on-average null effects. Specifically, even though an experimental manipulation might have no effect on average across individuals, it might still have demonstrable effects-albeit in opposite directions-for many or all of the individuals tested. We discuss several examples of research questions for which it would be theoretically crucial to determine whether manipulations really have no effect at the individual level, and we present a method of testing for individual-level effects. (PsycINFO Database Record

摘要

大多数心理模型旨在描述个体内部的运作过程。然而,在许多研究领域,尽管平均结果可能会对每个人的真实情况产生误导,但模型是通过查看跨多个个体的平均结果来进行测试的。我们考虑了这种平均零效应解释的难题。具体来说,即使实验操作对个体平均没有影响,它仍然可能对许多或所有接受测试的个体产生可证明的影响,尽管方向相反。我们讨论了几个研究问题的例子,对于这些问题,确定操作是否在个体水平上真的没有影响在理论上至关重要,我们还提出了一种测试个体水平影响的方法。

相似文献

1
Implications of individual differences in on-average null effects.平均零效应个体差异的意义。
J Exp Psychol Gen. 2018 Mar;147(3):377-397. doi: 10.1037/xge0000367. Epub 2017 Oct 23.
2
Who is and is not "average"? Random effects selection with spike-and-slab priors.谁是“平均”,谁又不是“平均”?基于尖峰-板壳先验的随机效应选择。
Psychol Methods. 2024 Feb;29(1):117-136. doi: 10.1037/met0000535. Epub 2022 Nov 3.
3
The 'paradox' of converging evidence.趋同证据的“悖论”。
Psychol Rev. 2019 Nov;126(6):865-879. doi: 10.1037/rev0000156. Epub 2019 Aug 15.
4
A combined experimental and individual-differences investigation into mind wandering during a video lecture.一项关于视频讲座中思维漫游的综合实验和个体差异研究。
J Exp Psychol Gen. 2017 Nov;146(11):1649-1674. doi: 10.1037/xge0000362.
5
How to compare cross-lagged associations in a multilevel autoregressive model.如何在多层次自回归模型中比较交叉滞后关联。
Psychol Methods. 2016 Jun;21(2):206-21. doi: 10.1037/met0000062. Epub 2016 Jan 25.
6
Hierarchical Bayesian continuous time dynamic modeling.分层贝叶斯连续时间动态建模。
Psychol Methods. 2018 Dec;23(4):774-799. doi: 10.1037/met0000168. Epub 2018 Mar 29.
7
The relation between valence and arousal in subjective experience.主观体验中情绪价和唤醒度的关系。
Psychol Bull. 2013 Jul;139(4):917-40. doi: 10.1037/a0030811. Epub 2012 Dec 10.
8
Individual differences methods for randomized experiments.个体差异方法在随机实验中的应用。
Psychol Methods. 2011 Sep;16(3):298-318. doi: 10.1037/a0023349.
9
Dynamic models of individual change in psychotherapy process research.心理治疗过程研究中个体变化的动态模型。
J Consult Clin Psychol. 2017 Jun;85(6):537-549. doi: 10.1037/ccp0000203. Epub 2017 Apr 10.
10
Individual differences in reading aloud: a mega-study, item effects, and some models.大声朗读中的个体差异:一项大型研究、项目效应及一些模型。
Cogn Psychol. 2014 Feb;68:113-60. doi: 10.1016/j.cogpsych.2013.11.001. Epub 2013 Dec 2.

引用本文的文献

1
Credibility revolution: pursuing a balanced and sustainable approach, without dogmas, without magic elixirs.可信度革命:追求一种平衡且可持续的方法,不抱教条,没有万灵药。
Front Psychol. 2025 Apr 16;16:1581160. doi: 10.3389/fpsyg.2025.1581160. eCollection 2025.
2
Dictation and vocabulary knowledge tests for adult native Chinese readers.针对成年中文母语读者的听写和词汇知识测试。
Behav Res Methods. 2025 Apr 22;57(5):151. doi: 10.3758/s13428-025-02669-4.
3
Individual differences do not mask effects of unconscious processing.个体差异不会掩盖无意识加工的效果。
Psychon Bull Rev. 2025 Mar 24. doi: 10.3758/s13423-025-02679-5.
4
Refining Bayesian hierarchical MPT modeling: Integrating prior knowledge and ordinal expectations.贝叶斯层次化 MPT 模型的精细化:整合先验知识和有序期望。
Behav Res Methods. 2024 Oct;56(7):6557-6581. doi: 10.3758/s13428-024-02370-y. Epub 2024 Apr 16.
5
Generalisation of unpredictable action-effect features: Large individual differences with little on-average effect.不可预测的动作-效应特征的泛化:个体差异大,平均效应小。
Q J Exp Psychol (Hove). 2024 Apr;77(4):898-908. doi: 10.1177/17470218231184996. Epub 2023 Jul 22.
6
The neural correlates of domain-general visual ability.域泛化视觉能力的神经关联。
Cereb Cortex. 2023 Apr 4;33(8):4280-4292. doi: 10.1093/cercor/bhac342.
7
Same stimulus, same temporal context, different percept? Individual differences in hysteresis and adaptation when perceiving multistable dot lattices.相同刺激,相同时间背景,不同感知?感知多稳态点阵时滞后和适应的个体差异。
Iperception. 2022 Jul 6;13(4):20416695221109300. doi: 10.1177/20416695221109300. eCollection 2022 Jul.
8
Analyzing Response Times and Other Types of Time-to-Event Data Using Event History Analysis: A Tool for Mental Chronometry and Cognitive Psychophysiology.使用事件史分析方法分析反应时间和其他类型的事件发生时间数据:一种心理计时学和认知心理生理学工具。
Iperception. 2020 Dec 23;11(6):2041669520978673. doi: 10.1177/2041669520978673. eCollection 2020 Nov-Dec.
9
The conditional approach to evaluating detection performance.条件评估方法在检测性能评估中的应用。
Atten Percept Psychophys. 2022 May;84(4):1393-1402. doi: 10.3758/s13414-021-02362-6. Epub 2021 Oct 8.
10
Statements About the Pervasiveness of Behavior Require Data About the Pervasiveness of Behavior.关于行为普遍性的陈述需要有关行为普遍性的数据。
Front Psychol. 2020 Nov 19;11:594675. doi: 10.3389/fpsyg.2020.594675. eCollection 2020.