Digital Commons Network^™

Relationship Between Grades And Learning Mode, John C. Griffith, Donna Roberts, Marian C. Schultz

John Griffith

Brain Games As A Potential Nonpharmaceutical Alternative For The Treatment Of Adhd, Stacy Wegrzyn, Doug Hearrington, Tim Martin, Adriane Randolph

Adriane B. Randolph

Attention deficit hyperactivity disorder (ADHD) is the most commonly diagnosed childhood neurobehavioral disorder, affecting approximately 5.5 million children, of which approximately 66% take ADHD medication daily. his study investigated a potential nonpharmaceutical alternative to address the academic engagement of 5th through 11th grade students (n = 10) diagnosed with ADHD. Participants were asked to play "brain games" for a minimum of 20 minutes each morning before school for 5 weeks. Engagement was measured at three points in time using electroencephalogram, parent and teacher reports, researcher observations, and participant self-reports. An analysis of the data supports the hypothesis that daily use …

Three Technology Enhancements In Nursing Education: Informatics Instruction, Personal Response Systems, And Human Patient Simulation, R. Jensen, Linda Meyer, Carol Sternberger

Carol S Sternberger

No abstract provided.

Think Globally, Learn Locally: Multimedia Conferencing Between Two Schools Of Nursing, Carol Sternberger, Belinda Deal, Rebecca Fountain

Carol S Sternberger

Three nurse educators, who met at the American Nurses Association Nursing Care in Life, Death, and Disaster Conference, collaborated on a multimedia conferencing project to teach nursing students about disaster response. This case study examines two outcomes of this project. The project provided students in a disaster nursing course in Indiana an opportunity to meet faculty who helped establish and maintain a special needs shelter in Texas following hurricanes Katrina and Rita. It also demonstrated, through the use of technology, the ability of nurse faculty to share their expertise with colleagues and students residing in different geographical locations.

Successful Implementation Of An Ehr Into Undergraduate Education., Linda Meyer, Carol Sternberger, Tammy Toscos

Carol S Sternberger

No abstract provided.

Collaborating Competitors: Creative Strategies For Addressing The Shortage, Carol Sternberger

Carol S Sternberger

No abstract provided.

Interactive Learning Environment: Engaging Students Using Clickers, Carol Sternberger

Carol S Sternberger

Educators continue to search for effective methods that will engage students in their learning. This article presents the integration of clickers while using the constructivist approach to foster critical thinking wile engaging learners in a large classroom setting. A 22-item survey was used to measure the perceived value by students to the use of clickers in engaging them in the learning process and fostering critical thinking. Clickers, also known as personal response systems, created an interactive environment, moving students beyond simple recall to application, analysis, and construction of knowledge.

Self-Efficacy, Self-Reliance, And Motivation In An Asynchronous Learning Environment, Linda Meyer, Carol Sternberger

Carol S Sternberger

No abstract provided.

Engaging Students Using A Personal Response System, Carol Sternberger

Carol S Sternberger

No abstract provided.

Development And Evaluation Of A Faculty Designed Courseware, Carol Sternberger

Carol S Sternberger

No abstract provided.

Nursing Education Reimagined At Ipfw. Students Use Latest Technology To Continue To Provide Top Care, Carol Sternberger

Carol S Sternberger

No abstract provided.

Cultural And Diversity Perceptions Of It Workers Of Indian Descent, Amy Woszczynski, P. Dembla, Sherri Shade

Sherri Shade

No abstract provided.

Making Users Mindful Of It Security, Michael Whitman, Herbert Mattord

Herbert J. Mattord

The article discusses ways to make users mindful of Information Technology (IT) security. Security awareness programs ensure that employees understand the importance of security and the adverse consequences of its failure; they also remind users of the procedures to be followed. Awareness training is vital to keeping the idea of IT security uppermost in employees' minds. While federal agencies in the U.S. are required to train employees in computer security awareness, such training is voluntary in the private sector. It is, however, no less vital. Every company should integrate a security awareness program into the IT training program.

Influences On Student Intention And Behavior Toward Environmental Sustainability, James Swaim, Michael Maloni, Stuart Napshin, Amy Henley

Stuart Napshin

No abstract provided.

Keiretsu Core And Member Firms’ Relative Performance And Profit Stability: A Power Dependency Perspective, L. Brouthers, G. Yan, Stuart Napshin

Stuart Napshin

No abstract provided.

A Sensitivity Analysis Toolkit For The Simplification Of Mv Distribution Network Voltage Management, Fabian Tamp, Philip Ciufo

Dr Philip Ciufo

As distribution networks become increasingly variable and generation becomes increasingly decentralised, voltage standards are becoming more liable to violation. Accordingly, intelligent voltage management strategies are required to enable standards compliance without unduly increasing network maintenance or infrastructure costs. The relationship between network power and voltages, however, is complex, non-linear and interdependent, and thus is difficult to conceptualise and use for decision-making and control purposes.

This paper introduces a software toolkit that simplifies the development of voltage management strategies by the applica- tion of sensitivity analysis. Sensitivity analysis reduces complex network P – Q – |V | relationships to simple linear …

Rotation Patterns And Trend Estimation For Repeated Surveys Using Rotation Group Estimates, Craig Mclaren, David Steel

Professor David Steel

A general approach for constructing filters to produce trend estimates from a repeated survey is described. This approach accounts for the correlation structure induced by the rotation pattern used in the survey. Different filters are developed depending on whether the trend analysis is based on elementary estimates available for each rotation group or overall estimates obtained by combining the rotation group estimates. The properties of trend estimates obtained directly from the elementary estimates, those obtained from the simple average of the rotation group estimates and trend estimates obtained from the best linear unbiased estimates of the population characteristics of interest …

Ignoring A Level In A Multilevel Model: Evidence From Uk Census Data, Mark Tramner, David Steel

Professor David Steel

Because of the inherent multilevel nature of census data, it is often appropriate to use multilevel models to investigate relationships between census variables. For a local population, the data available from the census allow a three-level nested model to be assumed, with an individual level (level 1), an enumeration district (ED) level (level 2), and a ward level (level 3). The consequences of ignoring one of the three levels in this model are assessed here theoretically. Empirical results, based on 1991 UK Census data, are also provided, comparing the variance components estimated from the three-level model with analyses based on …

Efficiency Of Split Questionnaire Surveys, James Chipperfield, David Steel

Professor David Steel

No abstract provided.

The Impact Of Different Rotation Patterns On The Sampling Variance Of Seasonally Adjusted And Trend Estimates, Craig Mclaren, David Steel

Professor David Steel

Many economic and social time series are based on sample surveys which have complex sample designs. The sample design affects the properties of the time series. In particular, the overlap of the sample from period to period affects the variability of the time series of survey estimates, and the seasonally adjusted and trend estimates produced from them. The Census X11 and X11ARIMA packages are commonly used to produce seasonally adjusted estimates and can also be used to produce estimates of trend. This paper considers the implications of different overlap patterns on the sampling variance of seasonally adjusted and trend estimates …

The Case For Small Area Microdata, Mark Tranmer, A. Pickles, Ed Fieldhouse, M. Elliot, A. Dale, Mark Brown, D. Martin, David Steel, C. Gardiner

Professor David Steel

No abstract provided.

An Evaluation Of A Large-Scale Cati Household Survey Using Random Digit Dialling, Don Bennett, David Steel

Professor David Steel

omputer-assisted telephone interviewing and random digit dialling are increasingly being used to conduct household surveys in Australia. However, there is little published information concerning Australian experience with such surveys. In 1995 the Government Statistician's Office in Queensland conducted a household survey to study population migration using these techniques. The survey involved a sample of 110 000 telephone numbers resulting in 38 000 responding households. This article describes a computerized survey management system that was developed and which provided information concerning important operational and quality aspects of the survey.

Optimum Allocation Of Sample To Strata And Stages With Simple Additional Constraints, Robert Clark, David Steel

Professor David Steel

The optimum allocation of a sample to strata and stages in a stratified two-stage design for a simple cost function is well known. In practice there may be reasons to impose simple additional constraints. It is shown how the theory for optimum allocation can be generalized to account for such constraints. A simple way of assessing the effect that each constraint has on the efficiency of the sample design is developed. This general approach allows several additional constraints that are used in practice to be applied. Data from the 1996 redesign of the Australian Monthly Labour Force Survey are used …

Statistical Indicators For Local Government Areas: A Case Study Of The Shoalhaven Lga, 1997, Nell Stetner-Houweling, David Steel, Greg Pullen

Professor David Steel

Decision makers and planers need to have relevant and reliable information to give a picture of how different areas are developing economically and socially. However, there is a perceived lack of timely and easily accessible data at the Local Government Area (LGA) level. This study produced a statistical profile of the Shoalhaven (LGA) by developing a conceptual framework, which represents the key economic, social, and population characteristics of the LGA. The statistical data available from the Australian Bureau of Statistics (ABS) at the level of the LGA, was investigated and summarised. Other sources of information available to create a statistical …

Restricted Quasi-Score Estimating Functions For Sample Survey Data, Yan Lin, David Steel, Raymond Chambers

Professor David Steel

This paper applies the theory of the quasi-likelihood method to model-based inference for sample surveys. Currently, much of the theory related to sample surveys is based on the theory of maximum likelihood. The maximum likelihood approach is available only when the full probability structure of the survey data is known. However, this knowledge is rarely available in practice. Based on central limit theory, statisticians are often willing to accept the assumption that data have, say, a normal probability structure. However, such an assumption may not be reasonable in many situations in which sample surveys are used. We establish a framework …

Simple Methods For Ecological Inference In 2x2 Tables, Raymond Chambers, David Steel

Professor David Steel

This paper considers inference about the individual level relationship between two dichotomous variables based on aggregated data. It is known that such analyses suffer from 'ecological bias', caused by the lack of homogeneity of this relationship across the groups over which the aggregation occurs. Two new methods for overcoming this bias, one based on local smoothing and the other a simple semiparametric approach, are developed and evaluated. The local smoothing approach performs best when it is used with a covariate which accounts for some of the variation in the relationships across groups. The semiparametric approach performed well in our evaluation …

Voter Turnout In British South Asian Communities At The 2001 General Election, D. Cutts, Ed Fieldhouse, K. Purdam, David Steel, Mark Tranmer

Professor David Steel

No abstract provided.

Conditional And Unconditional Models In Model-Assisted Estimation Of Finite Population Totals, David Steel, Robert Clark

Professor David Steel

The well known Godambe-Joshi lower bound for the anticipated variance of design unbiased estimators of population totals treats the auxiliary variables as constants. We extend the result to models where these variables are random and show that the generalized difference estimator using the expected values conditional on all auxiliary values is optimal. This has several implications including the fact that collecting multiple survey variables does not reduce the lower bound.

Scales, Levels And Processes: Studying Spatial Patterns Of British Census Variables, David Manley, Robin Flowerdew, David Steel

Professor David Steel

No abstract provided.

Exploring A Relationship Between Aggregate And Individual Levels Spatial Data Through Semivariogram Models, Gandhi Pawitan, David Steel

Professor David Steel

No abstract provided.