What does a population-level mediation reveal about individual people?

被引:0
|
作者
Bogdan, Paul C. [1 ]
Cervantes, Victor H. [2 ]
Regenwetter, Michel [2 ,3 ,4 ]
机构
[1] Duke Univ, Ctr Cognit Neurosci, 308 Res Dr, Durham, NC 27708 USA
[2] Univ Illinois, Dept Psychol, 603 Daniel St, Champaign, IL 61820 USA
[3] Univ Illinois, Dept Polit Sci, 1407 Gregory Dr, Urbana, IL 61801 USA
[4] Univ Illinois, Dept Elect & Comp Engn, 306 N Wright St, Urbana, IL 61801 USA
关键词
Individual differences; Mediation; Scientific reasoning fallacies; Theoretical scope; BEHAVIORAL DECISION RESEARCH; CROSS-SECTIONAL ANALYSES; DEVELOPMENTAL PSYCHOPATHOLOGY; MODERATED MEDIATION; MODELS; INFERENCES; FRAMEWORK; TESTS; TIME; BIAS;
D O I
10.3758/s13428-023-02298-9
中图分类号
B841 [心理学研究方法];
学科分类号
040201 ;
摘要
Mediation analysis investigates the covariation of variables in a population of interest. In contrast, the resolution level of psychological theory, at its core, aims to reach all the way to the behaviors, mental processes, and relationships of individual persons. It would be a logical error to presume that the population-level pattern of behavior revealed by a mediation analysis directly describes all, or even many, individual members of the population. Instead, to reconcile collective covariation with theoretical claims about individual behavior, one needs to look beyond abstract aggregate trends. Taking data quality as a given and a mediation model's estimated parameters as accurate population-level depictions, what can one say about the number of people properly described by the linkages in that mediation analysis? How many individuals are exceptions to that pattern or pathway? How can we bridge the gap between psychological theory and analytic method? We provide a simple framework for understanding how many people actually align with the pattern of relationships revealed by a population-level mediation. Additionally, for those individuals who are exceptions to that pattern, we tabulate how many people mismatch which features of the mediation pattern. Consistent with the person-oriented research paradigm, understanding the distribution of alignment and mismatches goes beyond the realm of traditional variable-level mediation analysis. Yet, such a tabulation is key to designing potential interventions. It provides the basis for predicting how many people stand to either benefit from, or be disadvantaged by, which type of intervention.
引用
收藏
页码:5667 / 5692
页数:26
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