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TUTORIAL : 'With sufficient increases in X, more people will engage in the target behavi or'

机译:教程:“X的充分增加,更多人将参与目标行为”

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摘要

Psychological theory should guide the method. A method should not dictate theory. Extraneous assumptions entering psychological theories through the backdoor of a method may differentially affect the analysis of different data sets. This introduces noise and jeopardizes successful replication of valid theoretical claims. Auxiliary theoretical assumptions can also bias substantive conclusions (including across replications). It is therefore becoming ever more crucial that theoretical claims genuinely represent the given theory, no more, no less. Recent work has highlighted a disconnect between some theories and their 'predictions,' questioned the scope of theories in the presence of heterogeneity in hypothetical constructs, and developed methods to avoid extraneous assumptions. This tutorial merges these strands of research using a simple, illustrated case study on formulating and testing order-constrained theories. The tutorial applies to empirical paradigms in which scholars can state ordinal constraints on the outcome probabilities for several binary variables such as binary responses or the presence/absence of symptoms, and where the collection of binary variables is associated with a finite set of distinct conditions, such as group membership, treatment condition, or discrete levels of an independent variable. The goal is to let scholars spell out very precise hypotheses that (1) are unadulterated reflections of their theory, (2) provide exceptional theoretical nuance, (3) formally accommodate substantive heterogeneity and (4) offer rigorous and strong quantitative diagnosticity. (C) 2020 Elsevier Inc. All rights reserved.
机译:心理学理论应该指导这种方法。方法不应该支配理论。通过方法后门进入心理学理论的无关假设可能会对不同数据集的分析产生不同的影响。这会引入噪音,并危及有效理论主张的成功复制。辅助性理论假设也会使实质性结论产生偏差(包括跨复制)。因此,越来越重要的是,理论主张真正代表给定的理论,不多也不少。最近的工作强调了一些理论与其“预测”之间的脱节,在假设结构中存在异质性的情况下质疑理论的范围,并开发了避免无关假设的方法。本教程通过一个简单的、有插图的案例研究,将这些研究结合起来,阐述和测试顺序约束理论。本教程适用于经验范式,在这种范式中,学者可以对多个二元变量(如二元反应或症状的存在/不存在)的结果概率提出顺序约束,并且二元变量的集合与一组有限的不同条件相关联,如组成员资格、治疗条件、,或独立变量的离散水平。目的是让学者们阐明非常精确的假设,即(1)是他们理论的纯粹反映,(2)提供特殊的理论细微差别,(3)形式上适应实质性的异质性,(4)提供严格而有力的定量诊断。(C) 2020爱思唯尔公司版权所有。

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