How Should Alcohol Problems Be Conceptualized? Causal Indicators Within the Rutgers Alcohol Problem Index.
How Should Alcohol Problems Be Conceptualized? Causal Indicators Within the Rutgers Alcohol Problem Index.
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DOI：
10.1177/0163278715616440
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发表时间：
2016-09
影响因子：
2.9
通讯作者：
Martens MP
中科院分区：
文献类型：
--
作者：
Arterberry BJ;Chen TH;Vergés A;Bollen KA;Martens MP
酒精相关的问题传统上是概念化和测量的效果指标模型。也就是说，人们通常认为，酒精问题的观察指标是由一个潜在的变量。然而，有理由认为，这一结构更准确地概念化为至少包括一些因果指标，其中观察到的指标导致潜在变量。本研究探讨了一个著名的酒精后果问卷，罗格斯大学酒精问题指数的测量模型。参与者是来自东北部一所大型公立大学的703名学生，他们被要求进行酒精干预。我们进行了零四分体测试，以检查一个测量模型只包括效果指标和模型的因果关系和效果指标。总的来说，结果表明混合模型比只有效果指标的模型更好地拟合数据。这些发现对酒精相关后果的理论基础有影响。
Alcohol-related problems have traditionally been conceptualized and measured by an effect indicator model. That is, it is generally assumed that observed indicators of alcohol problems are caused by a latent variable. However, there are reasons to think that this construct is more accurately conceptualized as including at least some causal indicators, in which observed indicators cause the latent variable. The present study examined the measurement model of a well-known alcohol consequences questionnaire, the Rutgers Alcohol Problem Index. Participants were 703 students from a large public university in the Northeast mandated to an alcohol intervention. We conducted a zero tetrad test to examine a measurement model consisting solely of effect indicators and a model with both causal and effect indicators. Overall, the results suggested the hybrid model fit the data better than a model with only effect indicators. These findings have implications regarding the theoretical underpinnings of alcohol-related consequences.
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影响因子：
7
作者：
Bollen KA;Bauldry S
通讯作者：
Bauldry S
影响因子：
3.4
作者：
Martens, Matthew P.;Neighbors, Clayton;Larimer, Mary E.
通讯作者：
Larimer, Mary E.
影响因子：
11.3
作者：
Coltman, Tim;Devinney, Timothy M.;Venaik, Sunil
通讯作者：
Venaik, Sunil
影响因子：
22.4
作者：
BOLLEN, K;LENNOX, R
通讯作者：
LENNOX, R
影响因子：
2
作者：
Bollen, Kenneth A.;Lennox, Richard D.;Dahly, Darren L.
通讯作者：
Dahly, Darren L.