Leslie F. Stebbins, Student Guide to Research in the Digital Age: How to Locate and Evaluate Information Sources , Libraries Unlimited, Westport (2006) 202 pp. $45.00 (paper), ISBN 1-59158-099-4.     

Donna L. Burton   《Government Information Quarterly》2008,25(3):558-561

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Passive keepers or active shapers: a comparative case study of four archival practitioners at the end of the nineteenth century     

Donna Holmes 《Archival Science》2006,6(3-4):285-298

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CHID Online: Combined Health Information Database: Visited February 26, 2004. Managed by the National Institutes of Health, Bethesda, MD, and the Health Resources and Services Administration, Rockville, MD.     

Donna L. Burton 《Journal of Government Information》2004,30(1):115-118

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Maximal heart rate declines linearly with age independent of cardiorespiratory fitness levels     

Cemal Ozemek  Mitchell H. Whaley  W. Holmes Finch  Leonard A. Kaminsky 《European Journal of Sport Science》2017,17(5):563-570

There have been many conflicting observations between the linear or curvilinear decline in maximal heart rate (HR_max) with age. The aim of this study was to determine if linear or curvilinear equations would better describe the decline in HR_max with age in individuals of differing cardiorespiratory fitness (CRF) levels. Treadmill cardiopulmonary exercise test (CPX) results from participants (1510 men and 1134 women; 18–76 years) free of overt cardiovascular disease were retrospectively examined using cross-sectional and longitudinal study designs. Participants completing ≥2 CPX with ≥1 year between test dates were included in the longitudinal analysis (325 men and 150 women). Linear and quadratic regressions were applied to age and HR_max for the whole cohort and respective CRF groups (high, moderate, and low, relative to age and gender normative values). To test for differences among linear, quadratic, and polynomial equations, the change in R² (cross-sectional analysis) and Bayesian information criterion (BIC) (longitudinal analysis) from the linear to the more complex models were calculated. The quadratic or polynomial regression in the cross-sectional analysis, marginally improved the variance in HR_max explained by age compared to the linear regression for the whole cohort (0.2%), moderate fit group (0.3%), and low fit group (0.8%). With no improvements in the high fit group. BIC did not improve for any CRF category in the longitudinal analysis. In conclusion, the minimal differences among linear, quadratic, and polynomial equations in the respective CRF groups, emphasizes the use of linear prediction equations to estimate HR_max.  相似文献   

Ontology Through a Mindfulness Process     

Deborah Bearance  Kimberley Holmes 《Interchange》2015,46(2):143-152

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What Discourages Students from Engaging with Innovative Instructional Methods: Creating a Barrier Framework     

Donna E. Ellis 《Innovative Higher Education》2015,40(2):111-125

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Talent identification and selection in elite youth football: An Australian context     

Donna O'Connor  Paul Larkin  A. Mark Williams 《European Journal of Sport Science》2016,16(7):837-844

We identified the perceptual–cognitive skills and player history variables that differentiate players selected or not selected into an elite youth football (i.e. soccer) programme in Australia. A sample of elite youth male football players (n?=?127) completed an adapted participation history questionnaire and video-based assessments of perceptual–cognitive skills. Following data collection, 22 of these players were offered a full-time scholarship for enrolment at an elite player residential programme. Participants selected for the scholarship programme recorded superior performance on the combined perceptual–cognitive skills tests compared to the non-selected group. There were no significant between group differences on the player history variables. Stepwise discriminant function analysis identified four predictor variables that resulted in the best categorization of selected and non-selected players (i.e. recent match-play performance, region, number of other sports participated, combined perceptual–cognitive performance). The effectiveness of the discriminant function is reflected by 93.7% of players being correctly classified, with the four variables accounting for 57.6% of the variance. Our discriminating model for selection may provide a greater understanding of the factors that influence elite youth talent selection and identification.  相似文献   

1994 special issue of the journal of research in science teaching on: Reading,writing, and science understanding     

Larry D. Yore  William G. Holliday  Donna E. Alvermann 《科学教学研究杂志》1992,29(5):533-533

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Editorial     

Peter Holmes 《Teaching Statistics》1985,7(2):33-34

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Editorial     

Peter Holmes 《Teaching Statistics》1980,2(2):33-33

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