It appears that it is necessary to apply exercise-specific algorithms to the SenseWear Pro Armband to enhance the accuracy of estimating energy expenditure during periods of exercise. When exercise-specific algorithms are used, the SenseWear Pro Armband provides an accurate estimate of energy expenditure when compared to indirect calorimetry during exercise periods examined in this study.

The purpose of this study was to examine the reliability of written expression curriculum-based measurement (WE-CBM) in the context of universal screening from a generalizability theory framework. Students in second through fifth grade (n = 145) participated in the study. The sample included 54% female students, 49% White students, 23% African American students, 17% Hispanic students, 8% Asian students, and 3% of students identified as 2 or more races. Of the sample, 8% were English Language Learners and 6% were students receiving special education. Three WE-CBM probes were administered for 7 min each at 3 time points across 1 year. Writing samples were scored for commonly used WE-CBM metrics (e.g., correct minus incorrect word sequences; CIWS). Results suggest that nearly half the variance in WE-CBM is related to unsystematic error and that conventional screening procedures (i.e., the use of one 3-min sample) do not yield scores with adequate reliability for relative or absolute decisions about student performance. In most grades, three 3-min writing samples (or 2 longer duration samples) were required for adequate reliability for relative decisions, and three 7-min writing samples would not yield adequate reliability for relative decisions about within-year student growth. Implications and recommendations are discussed. (PsycINFO Database Record

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