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Objective: To determine if there were differences by demographic variables in response rates to Nutrition Screening Initiative (NSI) Checklist statements reported by over 50% of Oklahoma Older Americans Act Nutrition Program (OAANP) congregate meal participants categorized at high nutritional risk based on cumulative NSI Checklist scores. Design: This study evaluated Oklahoma State Unit on Aging statewide archival demographic and NSI Checklist data from 8892 OAANP congregate participants. Analysis: Data were analyzed using chi-square analyses. Results: Eighteen percent of congregate participants were categorized at high nutritional risk. Over 50% of participants categorized at high nutritional risk reported "yes" to having an illness or condition that affected food eaten; eating alone; taking 3 or more medications; and inability to shop, cook, and feed themselves. Significant differences were observed in participant "yes" response rates to these NSI Checklist statements by demographic variables. Participants responded "yes" more to these statements if they were female, of advanced age, and living alone or in rural areas. Conclusions and Implications: The results of this study indicate problem areas and population groups for targeting nutrition education programs and services among Oklahoma OAANP congregate meal participants.

This book claims to have been written with a view to presenting a quantitative understanding of statistics mainly for courses in the social sciences. For the type of course that [...]

A statewide survey of watermelon production was conducted in 1998 and 1999 in Oklahoma. Data from the survey was used to classify production systems and management intensities among watermelon producers. Cluster analysis was used to identify the most closely associated of 24 abiotic and biotic variables affecting productivity. Five clusters were identified each year, or when data were pooled across years. Cluster I combined factors of grower experience, crop rotation, fertilization, and cultivation (mechanical weed control). Cluster II combined factors of cultivar ploidy, black plastic mulch, irrigation frequency, hoeing frequency, row arrangement, pollination, and planting method. Close distances among components implied that these two clusters had the strongest associations; indicating that two primary production systems exist. To measure management intensity of these production systems, a method was developed by: (1) partitioning four economic categories as machinery, labor, supply, and risk for each survey variable; (2) assigning weight scores of 0 or 1 to each category; and (3) summing the weight scores across economic categories for all factors involved in each production system. The most commonly used production system (>50%) consisted of Cluster I, which was considered of intermediate management intensity with scores ≥12 and ≤36. The production system considered as high management intensity with scores >36 was rarely used. but always combined components within Clusters I and II. This is the first attempt to describe complete production systems for watermelon in terms of analytical methods and measurements of crop management intensity. [ABSTRACT FROM AUTHOR]