Quite often in data reduction, it is more meaningful and economical to select a subset of variables instead of reducing the dimensionality of the variable space with principal components analysis. The authors present a neglected method for variable selection called the BI-method (R. P. Bhargava &; T. Ishizuka, 1981). It is a direct, simple method that uses the same criterion—trace information—used in ordinary regression analysis. The authors begin by discussing the nature and properties of the BI-method and then show how it is different from other existing variable selection methods. Because the BI-method originally was applied to small datasets that had little or no relevance to psychology or education, the authors apply it to large datasets with relevance to the psychological and educational literature. Of particular interest was the application of the BI-method to select a subset of items from a large item pool. Two practical psychometric examples with 49 and 108 items, respectively, showed that item subsets selected with the BI-method reflected the underlying structure of the whole item pool and that the scales based on those item subsets showed good reliability and predictive validity. The appropriateness of this item selection method within the context of the domain-sampling model is discussed. 相似文献
Little is known about the “weekend warrior” pattern of physical activity (PA) where people perform all their PA in 1 or 2 sessions per week. We investigated the relationship of weekend warrior and other PA patterns with metabolic syndrome (MS) and its associated diseases. Data on sociodemographic and lifestyle characteristics were collected from the Nantong Metabolic Syndrome Study that included 13,505 women and 6,997 men between 2007 and 2008. Compared with inactive participants, weekend warriors were at lower risk of MS, diabetes, and hypertension; respective odds ratios (95% confidence intervals) for men and women were 0.58 (0.43–0.79) and 0.67 (0.52–0.86), 0.52 (0.34–0.79) and 0.52 (0.33–0.83), and 0.79 (0.63–0.99) and 0.71 (0.57–0.89). Similar results were observed with regular activity, at a frequency of >3 sessions per week. Both weekend warrior and regular PA patterns showed a 10–60% decrease in abnormal triglycerides, glucose, and blood pressure in both sexes; abnormal waist circumference in men only; and abnormal high-density lipoprotein in women only. Our observed cross-sectional relationships reflect that >150 min/week of moderate PA or 75 min/week vigorous-intensity PA is needed to prevent MS and its component diseases, even if in a short-bout, intermittent PA pattern.
Abbreviations: MS: Metabolic syndrome; WC: Waist circumference; TG: Triglycerides; HDL-c: High-density lipoprotein cholesterol; BP: Blood pressure; SBP: Systolic blood pressure, DBP: Diastolic blood pressure; PA: Physical activity; JIS: Joint Interim Statement; CVD: Cardiovascular disease; ATP III: US Third Report of the National Cholesterol Education Program, the Adult Treatment Panel; IDF: International Diabetes Federation; IPAQ: International Physical Activity Questionnaire; BMI: Body mass index; CDC: the Nantong Centers for Disease Control; OR: Odds ratio; CI: Confidence interval; SD: Standard deviation; IQR: Interquartile range. 相似文献