The Relationship Between the Amount of Time Spent Writing with Computers and the Quality of Written Work.

The decade of the 80\u27s witnessed the introduction of a new method for teaching language arts called Whole Language . A whole language approach provides language instruction as the simultaneous, integrated teaching of reading, writing, speaking, and listening in a context that is both meaningful and purposeful for the learner. A new paradigm emerged, demonstrating that knowledge is internal and subjective, learning is constructing meaning, and teaching is a dynamic combination of coaching and facilitating (Hiebert, 1989, p. 62). The whole-language movement appears to embody this new paradigm in its most advanced development

Computer In-Service Needs of Elementary Teachers in the Council Bluffs, Iowa Community School District

In his book Megatrends: Ten New Directions Transforming Our Lives, John Naisbitt (1982) described a world of the 80s that was embracing a new technology in which 75 percent of the jobs were computer dependent. This new technology has invaded every aspect of life from grocery store checkout systems, bank transactions, ordering in catalog centers, confirmations of charge card purchases, toll booth tickets, movie animation, office automation, and medicine to the computer system tied into a database providing access to almost any imaginable piece of information in mere seconds

Clinical mentorship of nurse initiated antiretroviral therapy in Khayelitsha, South Africa: a quality of care assessment.

To combat the AIDS epidemic and increase HIV treatment access, the South African government implemented a nurse-based, doctor-supported model of care that decentralizes administration of antiretroviral treatment (ART) for HIV positive patients through nurse initiated and managed ART. Médecins Sans Frontières (MSF) implemented a mentorship programme to ensure successful task-shifting, subsequently assessing the quality of clinical care provided by nurses

The Relationship of Area-Level Sociodemographic Characteristics, Household Composition and Individual-Level Socioeconomic Status on Walking Behavior Among Adults

Understanding the contextual factors associated with why adults walk is important for those interested in increasing walking as a mode of transportation and leisure. This paper investigates the relationships between neighborhood-level sociodemographic context, individual level sociodemographic characteristics and walking for leisure and transport. Data from two community-based studies of adults (n = 550) were used to determine the association between the Area Sociodemographic Environment (ASDE), calculated from U.S. Census variables, and individual-level SES as potential correlates of walking behavior. Descriptive statistics, mean comparisons and Pearson’s correlations coefficients were used to assess bivariate relationships. Generalized estimating equations were used to model the relationship between ASDE, as quartiles, and walking behavior. Adjusted models suggest adults engage in more minutes of walking for transportation and less walking for leisure in the most disadvantaged compared to the least disadvantaged neighborhoods but adding individual level demographics and SES eliminated the significant results. However, when models were stratified for free or reduced cost lunch, of those with children who qualified for free or reduced lunch, those who lived in the wealthiest neighborhoods engaged in 10.7 min less of total walking per day compared to those living in the most challenged neighborhoods (p < 0.001). Strategies to increase walking for transportation or leisure need to take account of individual level socioeconomic factors in addition to area-level measures

Profiles of Cognitive Functioning in a Population-Based Sample of Centenarians Using Factor Mixture Analysis

Background/Study Context: The goal of the study was to identify and characterize latent profiles (clusters) of cognitive functioning in centenarians and the psychometric properties of cognitive measures within them. Methods: Data were collected from cross-sectional, population-based sample of 244 centenarians (aged 98 to 108, 15.8% men, 20.5% African American, 38.0% community-dwelling) from 44 counties in northern Georgia participating in the Georgia Centenarian Study (2001–2008). Measures included the Mini-Mental State Examination (MMSE), Severe Impairment Battery (SIB), Wechsler Adult Intelligence Scale-III Similarities subtest (WAIS), Hand Tapping, Behavioral Dyscontrol Scale (BDS), Controlled Oral Word Association Test (COWAT), and Fuld Object Memory Evaluation (FOME). The Global Deterioration Rating Scale (GDRS) was used to independently evaluate criterion-related validity for distinguishing cognitively normal and impaired groups. Relevant covariates included directly assessed functional status for basic and instrumental activities of daily living (DAFS), race, gender, educational attainment, Geriatric Depression Scale Short Form (GDS), and vision and hearing problems. Results: Results suggest two distinct classes of cognitive performance in this centenarian sample. Approximately one third of the centenarians show a pattern of markedly lower cognitive performance on most measures. Group membership is independently well predicted (area under the curve [AUC] = .83) by GDRS scores (sensitivity 67.7%, specificity 82.4%). Membership in the lower cognitive performance group was more likely for individuals who were older, African Americans, had more depressive symptoms, lower plasma folate, carriers of the apolipoprotein E (APOE) ε4 allele, facility residents, and individuals who died in the 2 years following interview. Conclusions: In a population expected to have high prevalence of dementia, latent subtypes can be distinguished via factor mixture analysis that provide normative values for cognitive functioning. The present study allows estimates for normative cognitive performance in this age group