量化情绪流：从纵向潜在增长曲线（LGC）建模方法检验情绪流假说

IF 3.4 2区心理学 Q1 COMMUNICATION

Media Psychology Pub Date : 2022-12-15 DOI:10.1080/15213269.2022.2156886

Lijiang Shen, S. Li

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引用次数: 0

摘要

摘要本文提出了一种纵向潜在增长曲线（LGC）建模方法，以完善情绪流测量和假设检验。情绪流被操作为一个或多个离散情绪随时间的变化，可以被建模为信息暴露期间情绪变化的量和形状。情绪流效应在LGC框架中使用从一项基于网络的实验研究中收集的数据进行测试，在该研究中，个体（美国Qualtrics Panel，N=620）阅读了标准威胁上诉格式的抗含糖加糖饮料信息。通过无条件的LGC建模，同时建立了恐惧和希望流。然后，这两种流及其相互作用被用来预测信息效应的结果。结果表明，当恐惧流或希望流的形式相对平坦时，流效应并不显著，但当两种情绪流在信息暴露过程中都有显著变化时，流的效应是强烈的。

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Quantifying Emotional Flow: Testing the Emotional Flow Hypothesis from a Longitudinal Latent Growth Curve (LGC) Modeling Approach

ABSTRACT This paper presents a longitudinal, latent growth curve (LGC) modeling approach to refine the emotional flow measure and hypothesis testing. Emotional flow is operationalized as the marked within-individuals variations in one or more discrete emotions over time, which can be modeled as the amount and shape of change in emotions during message exposure. Emotional flow effects are tested in the LGC framework using data collected from a web-based experimental study where individuals (US Qualtrics Panel, N = 620) read an anti-sugary sweetened beverage message in the standard threat appeal format. Simultaneous fear and hope flows were established with unconditional LGC modeling. The two flows and their interaction were then used to predict message effects outcomes. Results showed that flow effects were nonsignificant when either the fear flow or the hope flow was relatively flat in form, but robust when both emotional flows were with marked variations over the course of message exposure.

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来源期刊

Media Psychology Multiple-

CiteScore

8.60

自引率

7.10%

发文量

期刊介绍： Media Psychology is an interdisciplinary journal devoted to publishing theoretically-oriented empirical research that is at the intersection of psychology and media communication. These topics include media uses, processes, and effects. Such research is already well represented in mainstream journals in psychology and communication, but its publication is dispersed across many sources. Therefore, scholars working on common issues and problems in various disciplines often cannot fully utilize the contributions of kindred spirits in cognate disciplines.