ATTITUDES CAUSE BEHAVIORS - A STRUCTURAL EQUATION ANALYSIS
ATTITUDES CAUSE BEHAVIORS - A STRUCTURAL EQUATION ANALYSIS
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DOI：
10.1037/0022-3514.40.2.226
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发表时间：
1981-01-01
影响因子：
7.6
通讯作者：
SPECKART, G
中科院分区：
文献类型：
--
作者：
BENTLER, PM;SPECKART, G
采用隐变量线性结构方程模型的解释性极大似然估计来评估态度对行为的因果优势。采用158名大学生的学习、锻炼和约会的态度和行为面板数据，建立了两波两变量（2 W2 V）交叉标记结构模型。已被证明在态度和行为模型的背景下具有预测效用的其他因果因素被添加到2 W2 V模型中，以确定其他相关因素的规范对交叉滞后参数估计值的影响。虽然在2 W2 V模型中，态度一直对随后的行为有显著的直接影响，但这种模式在扩展模型中并不成立。结果表明，规范的附加因素澄清的直接和间接的影响，态度对行为的不同内容域，并使一个更完整的评估的一般性的性质的态度-行为关系。(32参考）（PsycINFO数据库记录（c）2016阿帕，保留所有权利）
Confirmatory maximum likelihood estimation of linear structural equation models with latent variables was employed to evaluate the causal predominance of attitudes over behaviors. Two wave, 2 variable (2W2V) crosslagged structural models were developed using attitude and behavior panel data from 158 college students on studying, exercise, and dating. Additional causal factors that have been shown to have predictive utility in the context of attitude and behavior models were added to the 2W2V models to determine the impact of the specification of other relevant factors on the cross-lag parameter estimates. Although attitudes consistently had a significant direct effort on subsequent behavior in the 2W2V models, this pattern did not hold in the expanded models. Results suggest that the specification of added factors clarifies the direct as well as indirect impact of attitudes on behavior for varying content domains and enables a more complete assessment of the generality of the nature of attitude–behavior relations.(32 ref)(PsycINFO Database Record (c) 2016 APA, all rights reserved)