Social and Behavioral Sciences Commons^™

2005- 2008 Unlv Mcnair Journal, Valerie Avery, Shana Bachus, Karmen K. Boehlke, Andrea Flores, Alden Kelly, Erick Lopez, Carol Preussler, Heather Shay, Ava Bookatz, Shaun Elsasser, Veronica Hicks, Shaida A. Jetha, Anthony Quinn, Thurithabhani Seneviratne, Teddy Boado Sim Jr., Liza Ward, Amris Henry-Rodgers, Jacquelynn Kaaa-Logan, Jason Orozco, Juan C. Plata, Bonnie Bartlett, Kathleen Bell, Vacheral M. Carter, Nydia Diaz, Kimberly Hackstock, Julio A. Luna, Charles Mao, Sandra Ramos, Precious Rideout, Benjamin Lee Watrous, Chet R. Whitley

McNair Journal

Journal articles based on research conducted by undergraduate students in the McNair Scholars Program

Table of Contents

Biography of Dr. Ronald E. McNair

Statements:

Dr. Neal J. Smatresk, UNLV President

Dr. Juanita P. Fain, Vice President of Student Affairs

Dr. William W. Sullivan, Associate Vice President for Retention and Outreach

Mr. Keith Rogers, Deputy Executive Director of the Center for Academic Enrichment and Outreach

McNair Scholars Institute Staff

Human Mental Models Of Humanoid Robots, Sau-Lai Lee, Ivy Yee-Man Lau, Sara Kiesler, Chi-Yue Chiu

Research Collection School of Social Sciences

Effective communication between a person and a robot may depend on whether there exists a common ground of understanding between the two. In two experiments modelled after human-human studies we examined how people form a mental model of a robot's factual knowledge. Participants estimated the robot's knowledge by extrapolating from their own knowledge and from information about the robot's origin and language. These results suggest that designers of humanoid robots must attend not only to the social cues that robots emit but also to the information people use to create mental models of a robot.

Cooperative Conservation - Interagency Volunteer Program Quarterly Progress Report: Period Ending December 31, 2004, Margaret N. Rees

Get Outdoors Nevada

Collaboration with Interagency Team

During the third quarter, the interagency volunteer team and university representatives have held several meetings to continue progress on the Interagency Volunteer Program (IVP). At the beginning of October, candidates for the project manager position were interviewed by the university search committee, followed by interviews with the interagency team on October 6, 2004. After two finalists were identified, reference checks were made and the university and team recommended to the federal managers that Ms. Donna Grady be hired. Ms. Grady’s first day on the job was December 1, 2004. In the interim, Nancy Flagg, Public Lands …

Agenda: Introduction To The Legal Foundation Of Federal Land Management, University Of Colorado Boulder. Natural Resources Law Center

Introduction to the Legal Foundation of Federal Land Management (December 1-3)

Materials prepared for the course held at the National Center for Atmospheric Research in Boulder, Colorado on December 1-3, 2004

Course instructors: Charles Wilkinson; Sarah Krakoff; Kathryn Mutz; Ann Morgan; Maggie Fox

Contents:

Introduction -- Agenda -- Summaries of laws -- Case studies. Travel management; Oil and gas development; Timber/fuels reduction -- How to influence agency decision makers -- Natural resource related legal and policy resources for the non-legal professional

Introduction To The Legal Foundation Of Federal Land Management, University Of Colorado Boulder. Natural Resources Law Center

Introduction to the Legal Foundation of Federal Land Management (December 1-3)

1 v. (various pagings) : ill., maps ; 28 cm

Materials prepared for the course held at the National Center for Atmospheric Research in Boulder, Colorado on December 1-3, 2004

Course instructors: Charles Wilkinson; Sarah Krakoff; Kathryn Mutz; Ann Morgan; Maggie Fox

Contents:

Introduction -- Agenda -- Summaries of laws -- Case studies. Travel management; Oil and gas development; Timber/fuels reduction -- How to influence agency decision makers -- Natural resource related legal and policy resources for the non-legal professional

The Other Side Of Silence: Rachel Carson’S Views Of Animals, Marc Bekoff, Jan Nystrom

Animal Welfare Collection

The publication of Rachel Carson’s Silent Spring in 1962 is widely regarded as one of the major events that launched the modern environmental movement. Silent Spring is a compelling blend of stories, natural history, human values, and biological facts. In this essay we consider Carson’s attitude toward animals in Silent Spring and in other texts. Despite the facts that she was raised to love Nature and animals, little direct attention has been given to Carson’s views about our moral responsibilities to, and the moral standing of animals. Carson favored responsible stewardship, was more of an animal welfarist and environmentalist/conservation biologist …

Orographic Midlatitude Cyclone Modification: An Appalachian Study, Andrew Douglas Augustine

All-Inclusive List of Electronic Theses and Dissertations

Forecasting weather within cyclonic systems is increasingly complicated and problematic when the cyclone is modified as it passes over a mountain range. Although much study has been devoted to orographic effects, the degree of influence exerted upon midlatitude cyclones by the undersized Appalachian Mountains has not been fully established. The fundamental goal of this research was to investigate the relationships between the orography of the Appalachian region and three inherent properties exhibited by midlatitude cyclones traversing the region including intensity, movement speed, and heading. The methodology used in this study integrates GIS within a climatological analysis. Initially, a midlatitude surface …

The Use Of Aster Visible And Near-Infrared Reflectance Values To Estimate Aboveground Biomass In Terre Haute, In, Joel M. Overpeck

All-Inclusive List of Electronic Theses and Dissertations

Researchers have established that a relationship exists between biomass and satellite reflectance values (Franklin, 1986; Anderson, 1993). Such studies focus on areas with high vegetative homogeneity, with little research being conducted in urban areas. The purpose of this study was to attain a relationship between aboveground biomass and reflectance values from ASTER's (Advanced Spacebome Thermal Emission and Reflection Radiometer) Visible and Near Infrared (VNIR) sensor. In addition a normalized difference vegetation index (NDVI) was generated from the near infrared and red bands to test its relationship with biomass. Aboveground biomass values were calculated from fifty-one 15 x 15 meter randomly …

Mcnair Scholars Program, The Mcnair Team

McNair Scholars Research Journal

No abstract provided.

Message From The Provost, The Mcnair Team

McNair Scholars Research Journal

No abstract provided.

Full Issue, The Mcnair Team

McNair Scholars Research Journal

No abstract provided.

Using Distributed Network Systems To Model Perception With An Artificial Neural Network, Tide Kansona Takizala

All-Inclusive List of Electronic Theses and Dissertations

It is difficult to be certain about brain functioning. Until now, most efforts to understand brain computations have only been conducted on a stand alone computer. In order to recreate the brain accurately, members of the Institute of Cognitive Computing Technology (ICCT) were interested in finding out whether or not a biological process could be simulated on a Distributed Artificial Neural Network (DANN). The goal of this investigation was to implement visual perception on a network of computers and compare the computations of the network with those of a human brain. The distributed network was developed as a Local Area …

Distributed Artificial Neural Network (Dann): Model Of Human Memory Behavior, Karen Meriweather

All-Inclusive List of Electronic Theses and Dissertations

It is believed that a distributed network system will provide a general means of understanding cognitive functions that occur in the brain. This study provides a framework for modeling human memory behavior using a Distributed Artificial Neural Network (DANN) architecture. This approach presents a different method for modeling cognitive functions using peer-to-peer computing. The computers on the network represents different memory stores, and by using Hopfield Neural Network Techniques, along with the software application Joone, the final product is a DANN system that exhibits human memory behavior and the ability to associate input vectors from the Fisher's Iris Classification output …

Weir River Estuary: Land Protection Plan, Chantal Lefebvre, Michelle Portman

Urban Harbors Institute Publications

If economic growth were the only measure of a community’s health and vitality, then the communities of Cohasset, Hingham, and Hull are fairing well. But this economic success is generally accompanied by changes in the physical landscape that can be unsettling for residents, especially when it means more development and expansion at the expense of culturally and socially important open space areas such as parks, woods, and marshes. The rapid pace and fragmented nature of such sprawling development gives communities little opportunity to come to terms with the long-term impacts, which in turn can lead to a sense of powerlessness …

Notes From The Director, The Mcnair Team

McNair Scholars Research Journal

No abstract provided.

Acknowledgements, The Mcnair Team

McNair Scholars Research Journal

No abstract provided.

Recommender Systems For Multimedia Libraries: An Evaluation Of Different Models For Datamining Usage Data, Raquel Oliveira Araujo

Computer Science Theses & Dissertations

Many recommender systems exist today to help users deal with the large growth in the amount of information available in the Internet. Most of these recommender systems use collaborative filtering or content-based techniques to present new material that would be of interest to a user. While these methods have proven to be effective, they have not been designed specifically for multimedia collections. In this study we present a new method to find recommendations that is not dependent on traditional Information Retrieval (IR) methods and compare it to algorithms that do rely on traditional IR methods. We evaluated these algorithms using …

An Exploratory Study That Examines Perceptions, By The Regulated Community, On The Effectiveness Of Air Quality Permitting For Clark County, By The Department Of Air Quality And Environmental Management, Scott Jelinek

UNLV Theses, Dissertations, Professional Papers, and Capstones

The Clean Air Act of 1970 (CAA) made the Environmental Protection Agency (EPA) responsible for establishing and maintaining federal programs that control air quality. In turn, each state was delegated responsibility for air quality within its borders, although this responsibility may be shared with Native Americans or tribal lands. In many states, jurisdiction has been delegated to regional or local agencies that are then responsible for air quality in their respective air basins. Even though terrain or water bodies define the physical boundaries of air basins, they are usually designated by County boundaries for regulatory convenience (Wooley, David R., 1997).

Assessing Treatment Effects In Randomized Longitudinal Two-Group Designs With Missing Observations, James Algina, H. J. Keselman

Journal of Modern Applied Statistical Methods

SAS’s PROC MIXED can be problematic when analyzing data from randomized longitudinal two-group designs when observations are missing over time. Overall (1996, 1999) and colleagues found a number of procedures that are effective in controlling the number of false positives (Type I errors) and are yet sensitive (powerful) to detect treatment effects. Two favorable methods incorporate time in study and baseline scores to model the missing data mechanism; one method was a single-stage PROC MIXED ANCOVA solution and the other was a two-stage endpoint analysis using the change scores as dependent scores. Because the twostage approach can lack sensitivity to …

Type I Error Rates For A One Factor Within-Subjects Design With Missing Values, Miguel A. Padilla, James Algina

Journal of Modern Applied Statistical Methods

Missing data are a common problem in educational research. A promising technique, that can be implemented in SAS PROC MIXED and is therefore widely available, is to use maximum likelihood to estimate model parameters and base hypothesis tests on these estimates. However, it is not clear which test statistic in PROC MIXED performs better with missing data. The performance of the Hotelling- Lawley-McKeon and Kenward-Roger omnibus test statistics on the means for a single factor withinsubject ANOVA are compared. The results indicate that the Kenward-Roger statistic performed better in terms of keeping the Type I error close to the nominal …

Size And Power Of The Reset Test As Applied To Systems Of Equations: A Bootstrap Approach, Ghazi Shukur, Panagiotis Mantalos

Journal of Modern Applied Statistical Methods

The size and power of various generalization of the RESET test for functional misspecification are investigated, using the “Bootsrap critical values”, in systems ranging from one to ten equations. The properties of 8 versions of the test are studied using Monte Carlo methods. The results are then compared with another study of Shukur and Edgerton (2002), in which they used the asymptotic critical values instead and found that in general only one version of the tests works well regarding size properties. In our study, when applying the bootstrap critical values, we find that all the tests exhibits correct size even …

Variance Stabilizing Power Transformation For Time Series, Victor M. Guerrero, Rafael Perera

Journal of Modern Applied Statistical Methods

A confidence interval was derived for the index of a power transformation that stabilizes the variance of a time-series. The process starts from a model-independent procedure that minimizes a coefficient of variation to yield a point estimate of the transformation index. The confidence coefficient of the interval is calibrated through a simulation.

Multivariate Contrasts For Repeated Measures Designs Under Assumption Violations, Lisa M. Lix, Aynslie M. Hinds

Journal of Modern Applied Statistical Methods

Conventional and approximate degrees of freedom procedures for testing multivariate interaction contrasts in groups by trials repeated measures designs were compared under assumption violation conditions. Procedures were based on either least-squares or robust estimators. Power generally favored test procedures based on robust estimators for non-normal distributions, but was influenced by the degree of departure from non-normality, definition of power, and magnitude of the multivariate effect size.

Interval Estimation For The Scale Parameter Of Burr Type X Distribution Based On Grouped Data, Amjad D. Al-Nasser, Ayman Baklizi

Journal of Modern Applied Statistical Methods

The application of some bootstrap type intervals for the scale parameter of the Burr type X distribution with grouped data is proposed. The general asymptotic confidence interval procedure (Chen & Mi, 2001) is studied. The performance of these intervals is investigated and compared. Some of the bootstrap intervals give better performance for situations of small sample size and heavy censoring.

An Algorithm And Code For Computing Exact Critical Values For The Kruskal-Wallis Nonparametric One-Way Anova, Sikha Bagui, Subhash Bagui

Journal of Modern Applied Statistical Methods

In this article, an algorithm and code to compute exact critical values (or percentiles) for Kruskal-Wallis test on k independent treatment populations with equal or unequal sample sizes using Visual Basic (VB.NET) is provided. This program has the ability to calculate critical values for any k , sample sizes (n_i ) , and significance level (α ) . An exact critical value table for k = 4 is also developed. The table will be useful to practitioners since it is not available in standard nonparametric statistics texts. The program can also be used to compute any other …

Pseudo-Random Number Generation In R For Commonly Used Multivariate Distributions, Hakan Demirtas

Journal of Modern Applied Statistical Methods

An increasing number of practitioners and applied statisticians have started using the R programming system in recent years for their computing and data analysis needs. As far as pseudo-random number generation is concerned, the built-in generator in R does not contain multivariate distributions. In this article, R routines for widely used multivariate distributions are presented.

Confidence Intervals On Subsets May Be Misleading, Juliet Popper Shaffer

Journal of Modern Applied Statistical Methods

A combination of hypothesis testing and confidence interval construction is often used in social and behavioral science studies. Sometimes confidence intervals are computed or reported only if a null hypothesis is rejected, perhaps to see whether the range of values is of practical importance. Sometimes they are constructed or reported only if a null hypothesis is accepted, in order to assess the range of plausible nonnull values due to inadequate power to detect them. Even if always computed, they are interpreted differently, depending on whether the null value is or is not included. Furthermore, many studies in which the null …

Mentoring Doctoral Students: A Personal Perspective, Bruce W. Hall

Journal of Modern Applied Statistical Methods

In this brief essay, I reflect on the mentoring process based on advising over thirty doctoral students in measurement, evaluation, and research. There is considerable cause for optimism, and it is among the professors’ highest honor to mentor the doctoral student.

On A Simple Method For Analyzing Multivariate Survival Data Using Sample Survey Methods, Pingfu Fu, J. Sunil Rao

Journal of Modern Applied Statistical Methods

A simple technique is illustrated for analyzing multivariate survival data. The data situation arises when an individual records multiple survival events, or when individuals recording single survival events are grouped into clusters. Past work has focused on developing new methods to handle such data. Here, we use a connection between Poisson regression and survival modeling and a cluster sampling approach to adjust the variance estimates. The approach requires parametric assumption for the marginal hazard function, but avoids specification of a joint multivariate survival distribution. A simulation study demonstrates the proposed approach is a competing method of recent developed marginal approaches …

Monte Carlo Evaluation Of Ordinal D With Improved Confidence Interval, Du Feng, Norman Cliff

Journal of Modern Applied Statistical Methods

This article reports a Monte Carlo evaluation of ordinal statistic d with modified confidence intervals (CI) for location comparison of two independent groups under various conditions. Type I error rate, power, and coverage of CI of d were compared to those of the Welch's t-test.