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Valida??o Psicométrica do Short Form of the Smoking Consequences Questionnaire (S-SCQ) a um contexto brasileiro

机译:对吸烟后果的短片验证问卷(S-SCQ)到巴西背景

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Smoking accounts for 24% of deaths in the general population and is also the factor that explains the biggest amount of years of life lost. It is important to understand the expectations regarding smoking behavior. The present study aimed to validate the Short Form of the Smoking Consequences Questionnaire (S-SCQ) for a Brazilian version. The Researchers did the process of semantic adaptation to language and national context. The S-SCQ was applied in a sample of 129 people. The next step was to perform psychometric analyses for the set of 21 items. Exploratory Factor Analysis, with pairwise treatment for missing cases, was used to achieve construct validity. To carry out Factor Analysis, the method of Principal Component Analysis (PCA) was used initially. Afterwards, Principal Axis Factoring (PAF) using Varimax rotation with Kaiser normalization was applied. The reliability of the total scale (21 items) showed a Cronbach alpha index of 0.851 and a 0.870 Lambda2 of Gutmann. Quite satisfactory rates were also observed in the subscales. Similarly, the item-overall correlation values also confirmed the scale’s good reliability indices.
机译:吸烟占一般人群死亡的24%,也是解释损失的最大数量的因素。了解有关吸烟行为的期望非常重要。本研究旨在为巴西版本验证抽烟后果的简短形式的抽吸后果(S-SCQ)。研究人员做了语义适应语言和国家背景的过程。 S-SCQ应用于129人的样本。下一步是为21件物品进行心理模切分析。探索性因子分析,用于缺失病例的成对处理,用于实现构建有效性。为了进行因子分析,最初使用了主要成分分析(PCA)的方法。然后,应用了使用具有kaiser归一化的Varimax旋转的主轴分解(PAF)。总尺度(21项)的可靠性显示了古代甘草的Cronbachαα指数和0.870Lambda2。在分量表中也观察到了相当令人满意的汇率。同样,项目 - 整体相关性值也证实了规模的良好可靠性指标。

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