Social and Behavioral Sciences Commons^™

Approximations To Power When Comparing Two Small Independent Proportions, Michael Vorburger, Breda Munoz

Journal of Modern Applied Statistical Methods

No abstract provided.

The Bootstrap Method For The Selection Of A Shrinkage Factor In Two-Stage Estimation Of The Reliability Function Of An Exponential Distribution, Makarand V. Ratnaparkhi, Vasant B. Waikar, Fredrick J. Schuurmann

Journal of Modern Applied Statistical Methods

An application of a bootstrap method for selecting a suitable shrinkage factor for the two-stage shrinkage estimator of a reliability function for the exponential distribution is discussed. The estimator obtained here has higher efficiency as compared to the one where the shrinkage factor is not subjected to bootstrapping.

Effects Of Population Distribution, Sample Size And Correlation Structure On Huberty’S Effect Size R, James B. Hittner

Journal of Modern Applied Statistical Methods

Huberty’s (1994) R² is derived by subtracting the expected value of R² from an adjusted R², and the square root of Huberty’s R² is Huberty’s effect size R. The present study examined the effects of population distribution, sample size and population correlation structure on the statistical power of Huberty’s R.

Estimating Task Duration In Pert Using The Weibull Probability Distribution, Edward L. Mccombs, Matthew E. Elam, David B. Pratt

Journal of Modern Applied Statistical Methods

The Weibull probability distribution can be used as an alternative model for task time estimates in the PERT estimating methodology. It has the same advantages as the traditional beta distribution for this application. It has additional benefits, however, that make it a preferred option.

Beyond Kappa: Estimating Inter-Rater Agreement With Nominal Classifications, Nol Bendermacher, Pierre Souren

Journal of Modern Applied Statistical Methods

Cohen’s Kappa and a number of related measures can all be criticized for their definition of correction for chance agreement. A measure is introduced that derives the corrected proportion of agreement directly from the data, thereby overcoming objections to Kappa and its related measures.

Some Estimators For The Population Mean Using Auxiliary Information Under Ranked Set Sampling, Walid A. Abu-Dayyeh, M. S. Ahmed, R. A. Ahmed, Hassen A. Muttlak

Journal of Modern Applied Statistical Methods

Auxiliary information is used along with ranking information to derive several classes of estimators to estimate the population mean of a variable of interest based on RSS (ranked set sample). The properties of these newly suggested estimators were examined. Comparisons between special cases of these estimators and other known estimators are made using a real data set. Some of the new estimators are superior to the old ones in terms of bias and mean square error.

A Heteroscedastic, Rank-Based Approach For Analyzing 2 X 2 Independent Groups Designs, Laura Mills, Robert A. Cribbie, Wei-Ming Luh

Journal of Modern Applied Statistical Methods

The ANOVA F is a widely used statistic in psychological research despite its shortcomings when the assumptions of normality and variance heterogeneity are violated. A Monte Carlo investigation compared Type I error and power rates of the ANOVA F, Alexander-Govern with trimmed means and Johnson transformation, Welch-James with trimmed means and Johnson Transformation, Welch with trimmed means, and Welch on ranked data using Johansen’s interaction procedure. Results suggest that the ANOVA F is not appropriate when assumptions of normality and variance homogeneity are violated, and that the Welch/Johansen on ranks offers the best balance of empirical Type I error …

Efficiency Of Canonical Discriminant Function Versus Mahalanobis Distance In Differentiating Groups: Screening Ovarian Cancer In A Multivariate System Analysis Using Enzyme Markers, Chinmoy K. Bose

Journal of Modern Applied Statistical Methods

Due to its low prevalence, high mortality and uniquely hidden intrapelvic position, ovarian cancer remains a subject of intense interest to researchers. Statistical calculation and new technology both have major roles to play in the effort to screen this cancer at an early stage. Advanced statistics, such as multivariate analysis, remain at the root of screening endeavors. Multivariate analysis has the power to combine many tests and to produce better results in terms high specificity and positive predictive value. Multivariate analysis techniques include Mahalanobis distance (D²), canonical stepwise discriminant function (Z) and Posterior Probability. These may have varied …

Applying Census Data For Small Area Estimation In Community And Social Service Planning, Michael Wolf-Branigin, Hyon-Sook Suh, Star Muir, Emily S. Ihara

Journal of Modern Applied Statistical Methods

Small area estimation provides a tool for community analysis. A procedure for accessing, selecting, joining and analyzing US Census data is provided. Skills acquired while completing the procedure include accessing census data, downloading boundary files and displaying themes. Such skills are valuable tools for students to possess as they enter the workforce.

A Comparative Study Of Bayesian Model Selection Criteria For Capture-Recapture Models For Closed Populations, Ross M. Gosky, Sujit K. Ghosh

Journal of Modern Applied Statistical Methods

Capture-Recapture models estimate unknown population sizes. Eight standard closed population models exist, allowing for time, behavioral, and heterogeneity effects. Bayesian versions of these models are presented and use of Akaike's Information Criterion (AIC) and the Deviance Information Criterion (DIC) are explored as model selection tools, through simulation and real dataset analysis.

Quantile Regression: On Inferences About The Slopes Corresponding To One, Two Or Three Quantiles, Rand R. Wilcox, Kathleen Costa

Journal of Modern Applied Statistical Methods

The problem of testing hypotheses about the slope of a quantile regression line when the sample size is small is considered. A modified bootstrap method is suggested that is found to have certain advantages over the inverse rank method recommended by Koenker (1994). A method is suggested that simultaneously controls the probability of at least one Type I error when performing two or three tests corresponding to two or three specific quantiles. Using data from actual studies, it is illustrated that the new method can yield substantially shorter confidence intervals than the rank inverse method and, even with a large …

A Monte Carlo Comparison Of Regression Estimators When The Error Distribution Is Long-Tailed Symmetric, Oya Can Mutan, Birdal Şenoğlu

Journal of Modern Applied Statistical Methods

The performances of the ordinary least squares (OLS), modified maximum likelihood (MML), least absolute deviations (LAD), Winsorized least squares (WIN), trimmed least squares (TLS), Theil’s (Theil) and weighted Theil’s (Weighted Theil) estimators are compared under the simple linear regression model in terms of their bias and efficiency when the distribution of error terms is long-tailed symmetric.

Improved Confidence Intervals For The Difference Between Two Proportions, James F. Reed Iii

Journal of Modern Applied Statistical Methods

Wald-z asymptotic methods, with and without a continuity correction, have less than nominal coverage probability characteristics but continue to be used. Newcombe's hybrid method and the Agresti-Caffo methods have coverage probabilities that are near nominal for either equal or unequal samples. Newcombe's hybrid and Agresti-Caffo methods demonstrate superior coverage properties.

Multiple Regression In Pair Correlation Solution, Stan Lipovetsky

Journal of Modern Applied Statistical Methods

Behavior of the coefficients of ordinary least squares (OLS) regression with the coefficients regularized by the one-parameter ridge (Ridge-1) and two-parameter ridge (Ridge-2) regressions are compared. The ridge models are not prone to multicollinearity. The fit quality of Ridge-2 does not decrease with the profile parameter increase, but the Ridge-2 model converges to a solution proportional to the coefficients of pair correlation between the dependent variable and predictors. The Correlation-Regression (CORE) model suggests meaningful coefficients and net effects for the individual impact of the predictors, high quality model fit, and convenient analysis and interpretation of the regression. Simulation with three …

Bayesian Inference On The Variance Of Normal Distribution Using Moving Extremes Ranked Set Sampling, Said Ali Al-Hadhrami, Amer Ibrahim Al-Omari

Journal of Modern Applied Statistical Methods

Bayesian inference of the variance of the normal distribution is considered using moving extremes ranked set sampling (MERSS) and is compared with the simple random sampling (SRS) method. Generalized maximum likelihood estimators (GMLE), confidence intervals (CI), and different testing hypotheses are considered using simple hypothesis versus simple hypothesis, simple hypothesis versus composite alternative, and composite hypothesis versus composite alternative based on MERSS and compared with SRS. It is shown that modified inferences using MERSS are more efficient than their counterparts based on SRS.

Quantifying Bimodality Part 2: A Likelihood Ratio Test For The Comparison Of A Unimodal Normal Distribution And A Bimodal Mixture Of Two Normal Distributions. Bruno D. Zumbo Is, B. W. Frankland, Bruno D. Zumbo

Journal of Modern Applied Statistical Methods

Scientists in a variety of fields are often faced with the question of whether a sample is best described as unimodal or bimodal. In an earlier paper (Frankland & Zumbo, 2002), a simple and convenient method for assessing bimodality was described. That method is extended by developing and demonstrating a likelihood ratio test (LRT) for bimodality for the comparison of a unimodal normal distribution and a bimodal mixture of two normal distributions. As in Frankland and Zumbo (2002), the LRT approach is demonstrated using algorithms in SPSS.

Email: A Note On Hypothesis Tests After Correction For Autocorrelation: Solace For The Cochrane-Orcutt Method?, Terry E. Dielman

Journal of Modern Applied Statistical Methods

The behavior of the t test in small samples for coefficient significance in time-series regressions is examined after using the Prais-Winsten (PW) and Cochrane-Orcutt (CO) corrections for autocorrelation. Results are compared to ordinary least squares and generalized least squares.

Quel Test For Two Linear Restrictions In The Nonlinear Models, Krishna K. Saha

Journal of Modern Applied Statistical Methods

An alternative Wald type test called the quel test is developed for two linear restrictions by finding the critical region based on the quel utilizing the repeated values of estimated parameters of interest under the null. Simulation shows evidence that the full quel test performs best in that it holds nominal level well and shows monotonic increasing power properties.

Comparative Power Of The Independent T, Permutation T, And Wilcoxontests, Michèle Weber, Shlomo Sawilowsky

Journal of Modern Applied Statistical Methods

The nonparametric Wilcoxon Rank Sum (also known as the Mann-Whitney U) and the permutation t-tests are robust with respect to Type I error for departures from population normality, and both are powerful alternatives to the independent samples Student’s t-test for detecting shift in location. The question remains regarding their comparative statistical power for small samples, particularly for non-normal distributions. Monte Carlo simulations indicated the rank-based Wilcoxon test was found to be more powerful than both the t and the permutation t-tests.

Industrialization In Animal Agriculture: A Kalman Filter Analysis, Oya S. Erdogdu, Levent Ozbek

Journal of Modern Applied Statistical Methods

Studies discussing the effects of technological developments on (animal) agricultural production argue that the effective usage of chemicals and genetic engineering increase control over production processes, which in turn decreases seasonality (one significant factor defining agricultural production) significantly and brings standardization to production. Studies on broilery also show that production is not limited by nature determined seasons. Supply side changes accompanied by changes in demand have led to more healthier, standardized products. Using tools of economics and statistics, this study documents this transformation in animal agricultural production of beef, pork and milk. Results indicate decreasing seasonality, thus the industralization of …

Rhode Island Current Conditions Index — May 2009, Leonard Lardaro

The Rhode Island Current Conditions Index

No abstract provided.

Does Violent Crime Cause Individuals To Join Gangs?, Colin Hottman

Economics Honors Projects

This paper examines the hypothesis that violent crime causes gang membership. I construct a theoretical model of the individual’s decision to join a gang based on the protection that gang membership provides from violent crime. Using data from the National Longitudinal Survey of Youth 1997 cohort and a probit specification, I test three different measures of the threat of violent crime: a dummy variable for experiencing gun violence, a dummy variable for being the victim of repeated bullying, and a dummy variable for being the victim of a violent crime. In my regressions, I find support for the hypothesis that …

Medical Negligence And Mrsa Claims:Is The Law Of Tort Efficient Enough?, Bridget Kelleher

Dissertations

In the last number of years, the Irish Health Service has come under major criticism. The emergence of Hospital Acquired Infections has sent the Health sector in to a state of disarray. The most common of these infections is Methicillin Resistant Staphylococcus Aureus (MRSA) which has now become a term of everyday language. By 1960, the United Kingdom (U.K) discovered that methicillin could combat this staphylococcus (staph) aureus infections. However by 1961,the staph aureus strain had evolved and created a new resistance to methicillin which became known as MRSA. The law of medical negligence, has devised it's own rules to …

Down From The Mountain: Skill Upgrading And Wages In Appalachia, Christopher Bollinger, James P. Ziliak, Kenneth R. Troske

University of Kentucky Center for Poverty Research Discussion Paper Series

Despite evidence that skilled labor is increasingly concentrated in cities, whether regional wage inequality is predominantly due to differences in skill levels or returns is unknown. We compare Appalachia, with its wide mix of urban and rural areas, to other parts of the U.S., and find that gaps in both skill levels and returns account for the lack of high wage male workers. For women, skill shortages are important across the distribution. Because rural wage gaps are insignificant, our results suggest that widening wage inequality between Appalachia and the rest of the U.S. owes to a shortage of skilled cities.

Working Well With A Disability, Catherine Ipsen, University Of Montana Rural Institute

Employment

Secondary conditions are health problems that exacerbate or intensify limitation caused by a primary impairment. They affect an individual’s physical, medical, emotional, and psychological well-being. Untreated secondary conditions may cause acute medical episodes or severe health conditions that limit normal activities of daily living (DeVivo, 1998; Ipsen, 2006). Several research studies report that the probability of employment is lower for people who experience secondary conditions such as depression, pain, anxiety, sleep problems, fatigue, and feelings of isolation (Crisp, 2005; Ipsen & Seekins, 2008). Fortunately, many secondary conditions are manageable through health promotion behavioral interventions that improve healthy lifestyle behaviors. Although …

Globalization And The Wage-Working Conditions Relationship: A Case Study Of Cambodian Garment Factories, Cael Warren

Economics Honors Projects

The wage premiums for firm-level foreign exposure (exporting and foreign ownership) have been well documented in the literature, and their potential sources have been studied in depth. Compensating differentials and efficiency wages are two distinct explanations (with radically different implications for worker welfare) for wage gaps that persist between firms despite controls for firm and worker characteristics. We use a comprehensive dataset of working conditions and wage compliance in Cambodia’s exporting garment factories to explore (1) the impact of foreign ownership on wages and working conditions, (2) whether the relationship between wages and working conditions within these exporting factories more …

The Swinging Pendulum Of Sentencing Reform: Political Actors Regulating District Court Discretion, Lydia Brashear Tiede

Brigham Young University Journal of Public Law

No abstract provided.

Wielding The Double-Eded Sword: Creating The Perception Of A Chinese Enterprise To Obtain And Enforce Patent Protection In China, David A. Fazzolare

Brigham Young University International Law & Management Review

No abstract provided.

A Case Study Analysis Of Organizational Crisis Communication During Hurricane Katrina, Rebecca Nell Woodrick

Dissertations

This study analyzed an educational organization's crisis communication with its employees regarding the devastation caused to the organization and to employees by hurricane Katrina in 2005. This study drew upon literature regarding communication in crisis and in particular, natural disaster crisis, to ascertain to what degree employees felt the organization engaged in characteristics of High Reliability Organizations. A case study approach employing both qualitative and quantitative data was utilized.

The data revealed that the organization was perceived by employees has having adequately communicated before and after Katrina. Data further revealed that the organization engages in behaviors consistent with practices of …

Noticias De Naccs, Vol. 38, No. 2, May 2009, National Association For Chicana And Chicano Studies

Noticias de NACCS Newsletter

No abstract provided.