Psychometric properties of the Wisconsin Inventory of Smoking Dependence Motives (WISDM-68): a replication and extension.
Psychometric properties of the Wisconsin Inventory of Smoking Dependence Motives (WISDM-68): a replication and extension.
复制标题
威斯康星州吸烟依赖动机清单 (WISDM-68) 的心理测量特性：复制和扩展。
DOI：
10.1093/ntr/ntp109
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发表时间：
2009
期刊：
影响因子：
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通讯作者：
Buka,StephenL
中科院分区：
文献类型：
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作者：
Shenassa,EdmondD;Graham,AmandaL;Burdzovic,JasminaA;Buka,StephenL
简介威斯康星州吸烟依赖动机清单 (WISDM-68) 是一项相对较新的措施，根据不同的吸烟动机评估尼古丁依赖。我们在基于人群的样本中检查了 WISDM-68 的心理测量特性，该样本平均年龄较大，并且包括比用于验证仪器的原始样本更重的吸烟者。方法参与者是成年经常吸烟者 (N = 431)，他们是在国家合作围产期项目 (1959-1966) 新英格兰站点注册的孕妇的后代。我们检查了 WISDM-68 的 13 个子量表的内部一致性，复制并扩展了 Piper 等人的验证性因子分析 (CFA)，评估了子量表的相互依赖性，检查了吸烟程度与子量表分数之间的关联，并进行了额外的验证测试。 结果 WISDM 13 个子量表的内部一致性范围为从容忍度的 0.78 到认知度的 0.89。增强和附属附件子量表。人口统计和吸烟相关亚组也获得了类似的可靠性。 CFA 表明 13 因素模型比单因素模型更适合我们的数据，并且比凭经验得出的 10 因素模型更好。回归模型支持 13 个子量表的有效性，尽管后续分析表明有可能维持 WISDM 的 13 因素结构，项目数量少于 68 个。结论 WISDM-68 由 13 个内部一致的子量表组成。大多数分量表的独立性支持了尼古丁依赖是异质结构的观点。
IntroductionThe Wisconsin Inventory of Smoking Dependence Motives (WISDM-68), a relatively new measure, assesses nicotine dependence in terms of distinct motivations for smoking. We examined psychometric properties of the WISDM-68 in a population-based sample that is on average older and includes heavier smokers than the original sample used for the validation of the instrument.MethodsParticipants were adult regular smokers (N= 431) who were offspring of pregnant women enrolled in the New England sites of the National Collaborative Perinatal Project (1959–1966). We examined the internal consistency of the WISDM-68's 13 subscales, replicated and extended the confirmatory factor analysis (CFA) by Piper et al., assessed the interdependence of the subscales, examined the association between smoking heaviness and subscale scores, and conducted additional validation tests.ResultsInternal consistency for WISDM's 13 subscales ranged from 0.78 for theToleranceto 0.89 for theCognitive EnhancementandAffiliative Attachmentsubscales. Similar reliabilities were obtained for demographic and smoking-relevant subgroups. CFAs suggest that a 13-factor model fit our data better than a single-factor model and better than an empirically derived 10-factor model. Regression models supported the validity of the 13 subscales, although follow-up analyses suggested possibility of maintaining WISDM's 13-factor structure with fewer than 68 items.ConclusionThe WISDM-68 consists of 13 internally consistent subscales. The independence of the majority of the subscales supports the perspective that nicotine dependence is a heterogeneous construct.