Social and Behavioral Sciences Commons^™

Information Technology For Increasing Qualitative Information Processing Efficiency, S. N. Martyshenko, E. A. Egorov

Journal of Modern Applied Statistical Methods

The problem of qualitative information processing in questionnaires is considered and a solution for this problem is offered. The computer technology developed by the authors to automate the offered decision is described.

General Piecewise Growth Mixture Model: Word Recognition Development For Different Learners In Different Phases, Amery D. Wu, Bruno D. Zumbo, Linda S. Siegel

Journal of Modern Applied Statistical Methods

The General Piecewise Growth Mixture Model (GPGMM), without losing generality to other fields of study, can answer six crucial research questions regarding children’s word recognition development. Using child word recognition data as an example, this study demonstrates the flexibility and versatility of the GPGMM in investigating growth trajectories that are potentially phasic and heterogeneous. The strengths and limitations of the GPGMM and lessons learned from this hands-on experience are discussed.

A Simulation Study Of The Relative Efficiency Of The Minimized Integrated Square Error Estimator (L2e) For Phase I Control Charting, John N. Dyer

Journal of Modern Applied Statistical Methods

Parameter estimates used in control charting, the sample mean and variance, are based on maximum likelihood estimation (MLE). Unfortunately, MLEs are not robust to contaminated data and can lead to improper conclusions regarding parameter values. This article proposes a more robust estimation technique; the minimized integrated square error estimator (L2E).

Maximum Likelihood Solution For The Linear Structural Relationship With Three Parameters Known, Androulla Michaeloudis

Journal of Modern Applied Statistical Methods

A maximum likelihood solution is obtained for the simple linear structural relation model where the underlying incidental distribution and one error variance are assumed known. Expressions for the asymptotic standard errors of the maximum likelihood estimates are obtained and these are verified using a simulation study.

Logistic Regression Models For Higher Order Transition Probabilities Of Markov Chain For Analyzing The Occurrences Of Daily Rainfall Data, Narayan Chanra Sinha, M. Ataharul Islam, Kazi Saleh Ahamed

Journal of Modern Applied Statistical Methods

Logistic regression models for transition probabilities of higher order Markov models are developed for the sequence of chain dependent repeated observations. To identify the significance of these models and their parameters a test procedure for a likelihood ratio criterion is developed. A method of model selection is suggested on the basis of AIC and BIC procedures. The proposed models and test procedures are applied to analyze the occurrences of daily rainfall data for selected stations in Bangladesh. Based on results from these models, the transition probabilities of first order Markov model for temperature and humidity provided the most suitable option …

Number Of Replications Required In Monte Carlo Simulation Studies: A Synthesis Of Four Studies, Daniel J. Mundform, Jay Schaffer, Myoung-Jin Kim, Dale Shaw, Ampai Thongteeraparp, Pornsin Supawan

Journal of Modern Applied Statistical Methods

Monte Carlo simulations are used extensively to study the performance of statistical tests and control charts. Researchers have used various numbers of replications, but rarely provide justification for their choice. Currently, no empirically-based recommendations regarding the required number of replications exist. Twenty-two studies were re-analyzed to determine empirically-based recommendations.

Matched-Pair Studies With Misclassified Ordinal Data, Tze-San Lee

Journal of Modern Applied Statistical Methods

The problem of matched-pair studies with misclassified ordinal data is considered. Misclassification is assumed to occur only between the adjacent columns/rows. Bias-adjusted generalized odds ratio and a test for marginal homogeneity are presented to account for misclassification bias. Data from lambing records of 227 Merino ewes are used to illustrate how to calculate these bias-adjusted estimators and – because validation data are not available – a sensitivity analysis is conducted.

A Robust Root Mean Square Standardized Effect Size In One-Way Fixed-Effects Anova, Guili Zhang, James Algina

Journal of Modern Applied Statistical Methods

A robust Root Mean Square Standardized Effect Size (RMSSER) was developed to address the unsatisfactory performance of the Root Mean Square Standardized Effect Size. The coverage performances of the confidence intervals (CI) for RMSSE_R were investigated. The coverage probabilities of the non-central F distribution-based CI for RMSSER were adequate.

The Overall F-Tests For Seasonal Unit Roots Under Nonstationary Alternatives: Some Theoretical Results And A Monte Carlo Investigation, Ghassen El Montasser

Journal of Modern Applied Statistical Methods

In many empirical studies concerning seasonal time series, it has been shown that the whole set of unit roots associated with seasonal random walks are not present. This article focuses on the overall F-tests for seasonal unit roots under some nonstationary alternatives different from the seasonal random walk. The asymptotic theory of these tests is established for these cases using a new approach based on circulant matrix concepts. The simulation results joined to this theoretic analysis showed that the overall F-tests, as well as their augmented versions, maintained high power against the nonstationary alternatives.

Weighting Large Datasets With Complex Sampling Designs: Choosing The Appropriate Variance Estimation Method, Sara Mann, James Chowhan

Journal of Modern Applied Statistical Methods

Using the Canadian Workplace and Employee Survey (WES), three variance estimation methods for weighting large datasets with complex sampling designs are compared: simple final weighting, standard bootstrapping and mean bootstrapping. Using a logit analysis, it is shown - depending on which weighting method is used - different predictor variables are significant. The potential lack of independence inherent in a multi-stage cluster sample design, as in the WES, results in a downward bias in the variance when conducting statistical inference (using the simple final weight), which in turn results in increased Type I errors. Bootstrap methods can account for the survey’s …

Using Finite Mixture Modeling To Deal With Systematic Measurement Error: A Case Study, Min Liu, Gregory R. Hancock, Jeffrey R. Harring

Journal of Modern Applied Statistical Methods

Conventional methods and analyses view measurement error as random. A scenario is presented where a variable was measured with systematic error. Mixture models with systematic parameter constraints were used to test hypotheses in the context of general linear models; this accommodated the heterogeneity arising due to systematic measurement error.

Estimating Internal Consistency Using Bayesian Methods, Miguel A. Padilla, Guili Zhang

Journal of Modern Applied Statistical Methods

Bayesian internal consistency and its Bayesian credible interval (BCI) are developed and Bayesian internal consistency and its percentile and normal theory based BCIs were investigated in a simulation study. Results indicate that the Bayesian internal consistency is relatively unbiased under all investigated conditions and the percentile based BCIs yielded better coverage performance.

What's Happening In Semantic Web ... And What Fca Could Have To Do With It, Pascal Hitzler

Computer Science and Engineering Faculty Publications

The Semantic Web is gaining momentum. Driven by over 10 years of focused project funding in the US and the EU, Semantic Web Technologies are now entering application areas in industry, academia, government, and the open Web.

The Semantic Web is based on the idea of describing the meaning - or semantics - of data on the Web using metadata - data that describes other data - in the form of ontologies, which are represented using logic-based knowledge representation languages. Central to the transfer of Semantic Web into practice is the Linked Open Data effort, which has already resulted in …

Trust Networks: Interpersonal, Social, And Sensor, Krishnaprasad Thirunarayan, Pramod Anantharam

Kno.e.sis Publications

Trust relationships occur naturally in many diverse contexts such as ecommerce, interpersonal interactions, social networks, sensor web, etc. As agents providing content and services become increasingly removed from the agents that consume them, the issue of robust trust inference and update become critical. Unfortunately, there is neither a universal notion of trust that is applicable to all domains nor a clear explication of its semantics or computation in many situations. In this beginner's level tutorial, we motivate the trust problem, explain the relevant concepts, summarize research in modeling trust and gleaning trustworthiness, and discuss challenges confronting us in this process.

Spatial Variations In Willingness To Pay For Water At The Local And Regional Scales Using Geographically Weighted Regression, Robyn Lane Dennis

Graduate Theses and Dissertations

Two decades of rapid urban growth and increasing per capita water consumption has left water providers in Northwest Arkansas concerned about their ability to meet future demand for water. Beaver Water District (BWD) is the largest of four regional water providers that draw from Beaver Lake, the only source of potable water in the region. Growth projections and per capita consumption patterns indicate that BWD could exhaust its raw water allocation as early as 2031. Municipal water customers served by BWD were surveyed about their stated priorities for water use, their water conservation behaviors, and their attitudes and perceptions about …

Climate Change In Rural Nevada: The Influence Of Vulnerability On Risk Perception And Environmental Behavior, Ahmad Safi

UNLV Theses, Dissertations, Professional Papers, and Capstones

In this research, I examine the impact of vulnerability on risk perception, stated willingness to adopt individual mitigation behavior, and support for climate change mitigation policies. My major research question is, "Does vulnerability to climate change increase risk perception, encourage more energy-efficient individual behavior, and enhance support for climate change mitigation policies?" But to understand the role of vulnerability I also pursue answers to questions regarding its three components: Physical vulnerability; sensitivity and adaptive capacity. I investigate the following sub-questions:

• Do physical vulnerability, and sensitivity to climate change increase risk perception, encourage more energy-efficient individual behavior, and enhance support for …

Consensus On The Colorado: Issues In The Allocation Of A Limited Resource, Jeffrey D. Tilton

UNLV Theses, Dissertations, Professional Papers, and Capstones

The purpose of this study was to identify current issues in water allocation in the Lower Colorado River Basin and to locate existing areas of consensus among its stakeholders. Surveys, both paper and web-based provided the data required to measure overwhelming agreement on issues. The data analysis served to locate the areas of agreement within and between interest groups. While overwhelming agreement between all groups proved to be a relatively rare occurrence, the existence of issue specific agreement between two or more groups was more common than expected. Accord was demonstrated in all four major areas: allocation, augmentation, conservation, and …

An Empirical Comparison Of Life Cycle Cost Of Green School Buildings And Non-Green School Buildings, Nitisha Pushpala

UNLV Theses, Dissertations, Professional Papers, and Capstones

One of the major economic concerns today of the world is reduction of energy consumption because of depleting energy sources in the world. The construction sector in the United States is also contributing in reducing the energy consumption and construction cost of the buildings by constructing cost and energy efficient buildings with energy efficient materials and techniques. The U.S Department of Energy introduced the Building Technologies Program that develops techniques, tools and technologies for making buildings more energy efficient. Other private bodies like the Leadership in Energy and Environmental Design (LEED), which is developed by the U.S. Green Building Council …

Estimating Wildfire Potential On A Mojave Desert Landscape Using Remote Sensing And Field Sampling, Peter F. Van Linn Iii

UNLV Theses, Dissertations, Professional Papers, and Capstones

Landscape level wildfire prediction can be used to allocate wildfire resources and guide land management practices. Wildfire prediction in arid habitats in the Southwestern United States is of specific concern because of the negative ecological impacts of fire on desert habitats and the current lack of accurate fire prediction tools for such areas. This study examines the ability to predict previous fire occurrences and estimate future fire potential using satellite imagery and on the ground field survey techniques along with ignition potential data (lightning strikes and distance to roads), topographical data (elevation and aspect), and climate information (maximum and minimum …

Telework Within The Bureau Of Reclamation Lower Colorado Region Office, Theresa Lee, Lynne Arnold, John Wagner, Elias Samorano, Anita Morgan

UNLV Theses, Dissertations, Professional Papers, and Capstones

A team of researchers from The University of Nevada, Las Vegas were invited by management to observe, assess, and offer recommendations. It was determined by the research team that the first step to improving participation would be to observe the functional telework policy, compare and contrast it with the Department of the Interior standards, and offer recommendations to generate data necessary to develop an updated telework policy by management. The recommendations made by this group include creating an employee eligibility list, tracking actual participation by creating a renewal policy for employees choosing to telework. It is also recommended that a …

Factors That Inhibit Or Enhance Maternal Coping With Stillbirth In Chhattisgarh, India, Lisa R. Roberts

Loma Linda University Electronic Theses, Dissertations & Projects

Background: Over half of the known stillbirths occur in four highly populated countries—India among them. While acknowledged as a significant public health issue in western societies, little is known about maternal coping with stillbirth in developing countries. The purpose of this mixed methods study is to explore how issues of gender and power, social support, coping efforts, and religious beliefs influence perinatal grief outcomes among poor women in rural Chhattisgarh, India.

Methods: In Phase 1 of this mixed methods study, grounded theory methods were used to explore perceptions regarding stillbirth. A de-identified medical records review of 536 deliveries at Christian …

Growing The Urban Ecosystem In Detroit, Michigan, Sean Basalyga

Social Sciences

Many views of the future are seen as bleak and devoid of the life where once stood beauty and abundance. However, the Living Cities Design Competition challenges these views and calls for a vision of the future that inspires hope, biodiversity, and a healthy interaction between human and natural systems. We chose to redesign the city of Detroit, Michigan to be a living city by the year 2035. As the earth scientist on an interdisciplinary team, I acted as an ecological consultant. By developing the urban ecosystem of Detroit, a number of social, economical, and environmental problems can be solved. …

Planning For Building-Integrated Agriculture In Las Vegas, Robert Vralsted

UNLV Theses, Dissertations, Professional Papers, and Capstones

High food prices, concern about food nutrition and safety, and an awareness of commercial farming's environmental impact have generated a renewed interest in sustainable urban agriculture. Advances in controlled environment agriculture (CEA) have made it possible to grow food virtually anywhere in a much more sustainable manner than traditional field-based agriculture. Locating and planning urban farms using retrofitted existing building stock to maximize food production and ease of distribution in Las Vegas requires consideration of multiple barriers related to geography, economics, and the built environment. Consideration of these factors in the planning process informs the design of a successful BIA …

A Methodology To Develop A Communication Protocol For Visualizing Simulations In A Collaborative Virtual Reality Environment, Lacey Suzanne Duckworth

Dissertations

In the technology field, simulations and collaborative virtual reality environments (CVREs) are not generally combined because it is complicated to develop large scale simulations within CVREs. The complexity of combining these two technologies in order to form a better form of visualization stems from the lack of a methodology to help derive these scalable simulations. Simulations require very complex calculations that the CVRE cannot perform as it is overloaded in calculations for the maintenance and stability of the environment itself. Since the simulation cannot be held within the CVRE, the solution is to move the simulation external to the CVRE …

Rethinking Our Mobility: Supporting Our Patrons Where They Live, Alexandra Gomes, Elizabeth Palena Hall, Laura E. Abate

Himmelfarb Library Faculty Posters and Presentations

In anticipation of the release of a mobile VPN to access the George Washington University wireless network, the Himmelfarb Health Sciences Library began developing materials and services to provide support to patrons. This poster is an outline of the mobile services that were implemented to reach patrons where they live.

Lsuhsc Facilities Daily Updates: May 2011, Lsuhsc Property And Facilities Management

LSUHSC Facilities Daily Updates: 2011

LSUHSC Facilities Daily Updates from May 2011.

These updates describe damage and a timeline of repairs at the LSU Health Sciences Center - New Orleans campus due to Hurricane Katrina which made landfall August 29, 2005.

Lsuhsc Facilities Biweekly Update: May 2011, Lsuhsc Property And Facilities Management

LSUHSC Facilities Biweekly Updates: 2011

LSUHSC Facilities Biweekly Updates from May 6 and 20, 2011.

These updates describe damage and a timeline of repairs at the LSU Health Sciences Center - New Orleans campus due to Hurricane Katrina which made landfall August 29, 2005.

Examining Child Sexual Abuse And Future Parenting: An Application Of Latent Class Modeling, Kimberly W. D'Zatko

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

This study was designed to empirically derive latent classes of mothers who were sexually abused during childhood and to assess the association between depression, alcohol/drug use, supportive intimate partner, and specific classes.

One hundred six women between the ages of 20 and 44 years (M = 27) who reported having been sexually abused during childhood (CSA) and 158 non-CSA mothers between the ages of 20 and 43 years (M = 23) were interviewed and assessed along six parenting dimensions. Logistic regression models evaluated the association between psychoemotional variables and specific classes.

The final model consisted of three classes—53.2%, …

Determining The Effects Of Technology On Children, Kristina E. Hatch

Senior Honors Projects

Determining the Effects of Technology on Children

Kristina Hatch

Faculty Sponser: Timothy Henry, Computer Science and Statistics

Technology has become an essential part of Americans’ daily lives, affecting our communications, mail, relationships, the management of our bills and finances. As we have become more immersed in the benefits and capabilities of these constantly developing technologies, children as well as adults have become avid users. Laptops and cell phones are specially developed for preteens. Software and game companies have been targeting children in their game development. Video games have become common entertainment for children as young as four. Children today can …

Assessing Seasonal Features Of Tropical Forests Using Remote Sensing, Roberto Bonifaz-Alfonzo

Department of Geography: Dissertations, Theses, and Student Research

Tropical forests are key components of the biogeochemical cycles, complex in structure, diversity and dynamics, also, tropical regions have been deforested and modified by human activities particularly for agriculture. Understanding the inter-annual and intra-annual variation dynamics of tropical regions could give valuable information on temporal characteristics of ecosystems behavior which is important for mapping and monitoring. This dissertation assesses seasonal and inter-annual changes in the tropical land cover that may be related to changes in the natural environment and/or human activities. Research was focused on the Mayan forest located in southern Mexico and Northwest Guatemala, one of the northern-most important …