考虑楼板效应的动力结构方程建模。

IF 7.6 1区心理学 Q1 PSYCHOLOGY, MULTIDISCIPLINARY

Psychological methods Pub Date : 2025-01-06 DOI:10.1037/met0000720

Bengt Muthén, Tihomir Asparouhov, Saul Shiffman

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引用次数: 0

摘要

密集的纵向数据分析通常用于心理学研究，通常涉及具有强底效应的结果，即在其最低值处的百分比很大。忽略强底效应，使用适合于连续正态结果的建模假设的常规分析，可能会给出误导性的结果。本文建议两部分建模可以提供一个解决方案。它可以避免由于忽略地板效应而产生的潜在偏置效应。它还可以对结果和协变量之间的关系提供更详细的描述，允许不同的协变量影响是否处于下限和高于下限的值。本文分析了一个戒烟的例子，以演示可用的分析技术。（PsycInfo Database Record (c) 2025 APA，版权所有）。

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Dynamic structural equation modeling with floor effects.

Intensive longitudinal data analysis, commonly used in psychological studies, often concerns outcomes that have strong floor effects, that is, a large percentage at its lowest value. Ignoring a strong floor effect, using regular analysis with modeling assumptions suitable for a continuous-normal outcome, is likely to give misleading results. This article suggests that two-part modeling may provide a solution. It can avoid potential biasing effects due to ignoring the floor effect. It can also provide a more detailed description of the relationships between the outcome and covariates allowing different covariate effects for being at the floor or not and the value above the floor. A smoking cessation example is analyzed to demonstrate available analysis techniques. (PsycInfo Database Record (c) 2025 APA, all rights reserved).

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来源期刊

Psychological methods PSYCHOLOGY, MULTIDISCIPLINARY-

CiteScore

13.10

自引率

7.10%

发文量

159

期刊介绍： Psychological Methods is devoted to the development and dissemination of methods for collecting, analyzing, understanding, and interpreting psychological data. Its purpose is the dissemination of innovations in research design, measurement, methodology, and quantitative and qualitative analysis to the psychological community; its further purpose is to promote effective communication about related substantive and methodological issues. The audience is expected to be diverse and to include those who develop new procedures, those who are responsible for undergraduate and graduate training in design, measurement, and statistics, as well as those who employ those procedures in research.