{"title":"Theories and hypotheses: The forgotten plane of the multiverse","authors":"Michael Richter , Guido H.E. Gendolla","doi":"10.1016/j.ijpsycho.2024.112438","DOIUrl":null,"url":null,"abstract":"<div><p>Multiverse analyses—the systematic examination of the effects of decisions that researchers can take over the course of a research project—became more common in recent psychophysiological research. However, multiverse analyses in psychophysiology almost exclusively focus on methodological and statistical decisions that can have a considerable impact on the findings. The role of the conceptual multiverse regarding theory-related research decisions is largely ignored. We argue that the choice of a theory that guides hypotheses, study design, measurement methods, and statistical analyses is the first plane of the psychophysiological multiverse. Depending on the chosen theoretical framework, researchers will choose different methods, and statistical analyses will emphasize specific aspects. We illustrate this process with a research example studying the effects of task difficulty manipulations on cardiovascular effects reflecting effort. We argue in favor of an approach that explicitly acknowledges the various theoretical accounts that can constitute the background of a study and demonstrate how a comparative analytical approach can provide a comprehensive multiverse without increasing type I error due to mere exploration.</p></div>","PeriodicalId":54945,"journal":{"name":"International Journal of Psychophysiology","volume":"205 ","pages":"Article 112438"},"PeriodicalIF":2.5000,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0167876024001429/pdfft?md5=5a293b6279ac80b96d960142a897feeb&pid=1-s2.0-S0167876024001429-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Psychophysiology","FirstCategoryId":"102","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0167876024001429","RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Multiverse analyses—the systematic examination of the effects of decisions that researchers can take over the course of a research project—became more common in recent psychophysiological research. However, multiverse analyses in psychophysiology almost exclusively focus on methodological and statistical decisions that can have a considerable impact on the findings. The role of the conceptual multiverse regarding theory-related research decisions is largely ignored. We argue that the choice of a theory that guides hypotheses, study design, measurement methods, and statistical analyses is the first plane of the psychophysiological multiverse. Depending on the chosen theoretical framework, researchers will choose different methods, and statistical analyses will emphasize specific aspects. We illustrate this process with a research example studying the effects of task difficulty manipulations on cardiovascular effects reflecting effort. We argue in favor of an approach that explicitly acknowledges the various theoretical accounts that can constitute the background of a study and demonstrate how a comparative analytical approach can provide a comprehensive multiverse without increasing type I error due to mere exploration.
多重宇宙分析--对研究人员在研究项目过程中可能做出的决定的影响进行系统检查--在最近的心理生理学研究中越来越常见。然而,心理生理学中的多重宇宙分析几乎只关注方法和统计决策,而这些决策可能会对研究结果产生相当大的影响。概念多重宇宙在与理论相关的研究决策中的作用在很大程度上被忽视了。我们认为,指导假设、研究设计、测量方法和统计分析的理论选择是心理生理学多重宇宙的第一个平面。根据所选择的理论框架,研究人员会选择不同的方法,统计分析也会强调特定的方面。我们以研究任务难度操作对反映努力程度的心血管效应的影响为例,来说明这一过程。我们主张采用一种明确承认可构成研究背景的各种理论账户的方法,并展示了比较分析方法如何提供一个全面的多元宇宙,而不会因为单纯的探索而增加 I 型误差。
期刊介绍:
The International Journal of Psychophysiology is the official journal of the International Organization of Psychophysiology, and provides a respected forum for the publication of high quality original contributions on all aspects of psychophysiology. The journal is interdisciplinary and aims to integrate the neurosciences and behavioral sciences. Empirical, theoretical, and review articles are encouraged in the following areas:
• Cerebral psychophysiology: including functional brain mapping and neuroimaging with Event-Related Potentials (ERPs), Positron Emission Tomography (PET), Functional Magnetic Resonance Imaging (fMRI) and Electroencephalographic studies.
• Autonomic functions: including bilateral electrodermal activity, pupillometry and blood volume changes.
• Cardiovascular Psychophysiology:including studies of blood pressure, cardiac functioning and respiration.
• Somatic psychophysiology: including muscle activity, eye movements and eye blinks.