A Network Perspective on Attitude Strength: Testing the Connectivity Hypothesis
A Network Perspective on Attitude Strength: Testing the Connectivity Hypothesis
复制标题
DOI：
10.1177/1948550618781062
复制
发表时间：
2019-08-01
影响因子：
5.7
通讯作者：
van der Maas, Han L. J.
中科院分区：
文献类型：
--
作者：
Dalege, Jonas;Borsboom, Denny;van der Maas, Han L. J.
态度强度是态度的一个关键特征。强烈的态度是持久的和有影响力的，而软弱的态度是波动的和无关紧要的。最近，因果态度网络（CAN）模型被提出作为态度的综合测量模型，其将态度概念化为因果连接的评价性反应的网络（即，对态度对象的信念、感觉和行为）。在这里，我们测试的CAN模型的中心假设，高度连接的态度网络对应于强的态度。我们使用的数据来自美国全国选举研究1980-2012年对总统候选人的态度（N = 18，795）。我们首先表明，政治利益预测连接的态度网络对总统候选人。第二，我们表明，连接性是密切相关的两个定义特征强的态度稳定的态度和态度对行为的影响。我们的结论是，网络理论提供了一个很有前途的框架，以促进态度强度的理解。
Attitude strength is a key characteristic of attitudes. Strong attitudes are durable and impactful, while weak attitudes are fluctuating and inconsequential. Recently, the causal attitude network (CAN) model was proposed as a comprehensive measurement model of attitudes, which conceptualizes attitudes as networks of causally connected evaluative reactions (i.e., beliefs, feelings, and behavior toward an attitude object). Here, we test the central postulate of the CAN model that highly connected attitude networks correspond to strong attitudes. We use data from the American National Election Studies 1980-2012 on attitudes toward presidential candidates (N = 18,795). We first show that political interest predicts connectivity of attitude networks toward presidential candidates. Second, we show that connectivity is strongly related to two defining features of strong attitudes-stability of the attitude and the attitude's impact on behavior. We conclude that network theory provides a promising framework to advance the understanding of attitude strength.