Measurement invariance of DSM-IV alcohol, marijuana and cocaine dependence between community-sampled and clinically overselected studies
Measurement invariance of DSM-IV alcohol, marijuana and cocaine dependence between community-sampled and clinically overselected studies
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DOI：
10.1111/add.12187
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发表时间：
2013-10-01
期刊：
影响因子：
6
通讯作者：
McGue, Matt
中科院分区：
文献类型：
--
作者：
Derringer, Jaime;Krueger, Robert F.;McGue, Matt
AimsTo examine whether DSM-IV symptoms of substance dependence are psychometrically equivalent between existing community-sampled and clinically overselected studies.来自酒精依赖病例对照研究的2476名明尼苏达州出生的成年双胞胎和4121名无关的成年参与者，大麻和可卡因依赖症状以及每种物质的使用情况。设计我们对数据拟合了一个分层模型，其中每种物质的使用情况和依赖症状是酒精的指标，大麻或可卡因依赖，这反过来又是多种物质依赖因素的指标。然后，我们测试了模型的测量不变性跨参与者组，定义了研究来源和参与者sex.FindingsThe分层模型拟合以及男性和女性在每个样本[比较拟合指数（CFI）> 0.96，塔克-刘易斯指数（TLI）> 0.95和均方根误差的近似（RMSEA）< 0.04为所有]，多组模型表明，在样本和性别定义的组中，模型参数是等效的（约束和非约束模型之间的Delta CFI = 0.002）。组间差异的症状背书率可以单独表示为平均差异的多物质依赖factor. ConclusionsLifetime物质依赖症状拟合一个维度模型。虽然临床过度选择的参与者认可更多的依赖症状，平均而言，比社区抽样的参与者，症状认可的模式是相似的各组。从测量的角度来看，DSM-IV标准同样适用于描述不同采样方法的物质依赖性。
AimsTo examine whether DSM-IV symptoms of substance dependence are psychometrically equivalent between existing community-sampled and clinically overselected studies.ParticipantsA total of 2476 adult twins born in Minnesota and 4121 unrelated adult participants from a case-control study of alcohol dependence.MeasurementsLife-time DSM-IV alcohol, marijuana and cocaine dependence symptoms and ever use of each substance.DesignWe fitted a hierarchical model to the data, in which ever use and dependence symptoms for each substance were indicators of alcohol, marijuana or cocaine dependence which were, in turn, indicators of a multi-substance dependence factor. We then tested the model for measurement invariance across participant groups, defined by study source and participant sex.FindingsThe hierarchical model fitted well among males and females within each sample [comparative fit index (CFI) > 0.96, Tucker-Lewis index (TLI) > 0.95 and root mean square error of approximation (RMSEA) < 0.04 for all], and a multi-group model demonstrated that model parameters were equivalent across sample- and sex-defined groups (Delta CFI = 0.002 between constrained and unconstrained models). Differences between groups in symptom endorsement rates could be expressed solely as mean differences in the multi-substance dependence factor.ConclusionsLife-time substance dependence symptoms fitted a dimensional model well. Although clinically overselected participants endorsed more dependence symptoms, on average, than community-sampled participants, the pattern of symptom endorsement was similar across groups. From a measurement perspective, DSM-IV criteria are equally appropriate for describing substance dependence across different sampling methods.