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2008

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Voices Of Hope, Mildred Pearson Nov 2008

Voices Of Hope, Mildred Pearson

Faculty Research and Creative Activity

Using the self-efficacy literature as a theoretical framework, this article discusses the reality of academic achievement and academic performance among selected African American middle school girls. Both quantitative and qualitative research approaches are used to investigate the influence of selfefficacy. Thirty-seven African American middle school girls filled out an adversity questionnaire and also responded to the Children’s Self-efficacy Survey. Based on the results, 10 girls were selected for in-depth interviews. Responses to interview questions reveal how these girls’ self-efficacy helped them not only cope with obstacles in their lives but also excel academically. These responses provide important insights for educators …

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Partners, November 2008, Dale Bumpers College Of Agricultural, Food, And Life Sciences (University Of Arkansas, Fayetteville). Center Of Excellence For Poultry Science Nov 2008

Partners, November 2008, Dale Bumpers College Of Agricultural, Food, And Life Sciences (University Of Arkansas, Fayetteville). Center Of Excellence For Poultry Science

Partners

No abstract provided.

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Vol. 7, No. 2 (Full Issue), Jmasm Editors Nov 2008

Vol. 7, No. 2 (Full Issue), Jmasm Editors

Journal of Modern Applied Statistical Methods

No abstract provided.

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Multi-Group Confirmatory Factor Analysis For Testing Measurement Invariance In Mixed Item Format Data, Kim H. Koh, Bruno D. Zumbo Nov 2008

Multi-Group Confirmatory Factor Analysis For Testing Measurement Invariance In Mixed Item Format Data, Kim H. Koh, Bruno D. Zumbo

Journal of Modern Applied Statistical Methods

This simulation study investigated the empirical Type I error rates of using the maximum likelihood estimation method and Pearson covariance matrix for multi-group confirmatory factor analysis (MGCFA) of full and strong measurement invariance hypotheses with mixed item format data that are ordinal in nature. The results indicate that mixed item formats and sample size combinations do not result in inflated empirical Type I error rates for rejecting the true measurement invariance hypotheses. Therefore, although the common methods are in a sense sub-optimal, they don’t lead to researchers claiming that measures are functioning differently across groups – i.e., a lack of …

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Estimating Explanatory Power In A Simple Regression Model Via Smoothers, Rand R. Wilcox Nov 2008

Estimating Explanatory Power In A Simple Regression Model Via Smoothers, Rand R. Wilcox

Journal of Modern Applied Statistical Methods

Consider the regression model Y = γ(X) + ε , where γ(X) is some conditional measure of location associated with Y , given X. Let Υ̂ be some estimate of Y, given X, and let τ2 (Y) be some measure of variation. Explanatory power is η2 = τ2 (Υ̂) /τ2(Y) . When γ(X) = β0 + β1X and τ2(Y) is the variance of Y , η2 = ρ2 , …

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Data Mining Ceo Compensation, Susan M. Adams, Atul Gupta, Dominique M. Haughton, John D. Leeth Nov 2008

Data Mining Ceo Compensation, Susan M. Adams, Atul Gupta, Dominique M. Haughton, John D. Leeth

Journal of Modern Applied Statistical Methods

The need to pre-specify expected interactions between variables is an issue in multiple regression. Theoretical and practical considerations make it impossible to pre-specify all possible interactions. The functional form of the dependent variable on the predictors is unknown in many cases. Two ways are described in which the data mining technique Multivariate Adaptive Regression Splines (MARS) can be utilized: first, to obtain possible improvements in model specification, and second, to test for the robustness of findings from a regression analysis. An empirical illustration is provided to show how MARS can be used for both purposes.

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Least Squares Percentage Regression, Chris Tofallis Nov 2008

Least Squares Percentage Regression, Chris Tofallis

Journal of Modern Applied Statistical Methods

In prediction, the percentage error is often felt to be more meaningful than the absolute error. We therefore extend the method of least squares to deal with percentage errors, for both simple and multiple regression. Exact expressions are derived for the coefficients, and we show how such models can be estimated using standard software. When the relative error is normally distributed, least squares percentage regression is shown to provide maximum likelihood estimates. The multiplicative error model is linked to least squares percentage regression in the same way that the standard additive error model is linked to ordinary least squares regression.

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Application Of Dynamic Poisson Models To Japanese Cancer Mortality Data, Shuichi Midorikawa, Etsuo Miyaoka, Bruce Smith Nov 2008

Application Of Dynamic Poisson Models To Japanese Cancer Mortality Data, Shuichi Midorikawa, Etsuo Miyaoka, Bruce Smith

Journal of Modern Applied Statistical Methods

A dynamic Poisson model is used with a Bayesian approach to modeling to predict cancer mortality. The complexity of the posterior distribution prohibits direct evaluation of the posterior, and so parameters are estimated by using a Markov Chain Monte Carlo method. The model is applied to analyze lung and stomach cancer data which have been collected in Japan.

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A Randomization Method To Control The Type I Error Rates In Best Subset Regression, Yasser A. Shehata, Paul White Nov 2008

A Randomization Method To Control The Type I Error Rates In Best Subset Regression, Yasser A. Shehata, Paul White

Journal of Modern Applied Statistical Methods

A randomization method for the assessment of statistical significance for best subsets regression is given. The procedure takes into account the number of potential predictors and the inter-dependence between predictors. The approach corrects a non-trivial problem with Type I errors and can be used to assess individual variable significance.

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Comparing Factor Loadings In Exploratory Factor Analysis: A New Randomization Test, W. Holmes Finch, Brian F. French Nov 2008

Comparing Factor Loadings In Exploratory Factor Analysis: A New Randomization Test, W. Holmes Finch, Brian F. French

Journal of Modern Applied Statistical Methods

Factorial invariance testing requires a referent loading to be constrained equal across groups. This study introduces a randomization test for comparing group exploratory factor analysis loadings so as to identify an invariant referent. Results show that it maintains the Type I error rate while providing adequate power under most conditions.

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Variance Estimation In Time Series Regression Models, Samir Safi Nov 2008

Variance Estimation In Time Series Regression Models, Samir Safi

Journal of Modern Applied Statistical Methods

The effect of variance estimation of regression coefficients when disturbances are serially correlated in time series regression models is studied. Variance estimation enters into confidence interval estimation, hypotheses testing, spectrum estimation, and expressions for the estimated standard error of prediction. Using computer simulations, the robustness of various estimators, including Estimated Generalized Least Squares (EGLS) was considered. The estimates of variance of the coefficient estimators produced by computer packages were considered. Models were generated with a second order auto-correlated error structure, considering the robustness of estimators based upon misspecified order. Ordinary Least Squares (OLS) (order zero) estimates outperformed first order EGLS. …

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Two Dimension Marginal Distributions Of Crossing Time And Renewal Numbers Related To Two-Stage Erlang Processes, Mir Ghulam Hyder Talpur, Iffat Zamir, M. Masoom Ali Nov 2008

Two Dimension Marginal Distributions Of Crossing Time And Renewal Numbers Related To Two-Stage Erlang Processes, Mir Ghulam Hyder Talpur, Iffat Zamir, M. Masoom Ali

Journal of Modern Applied Statistical Methods

The two dimensional marginal transform, probability density and cumulative probability distribution functions for the random variables TξN (time taken by servers during vacations), ξN (number of vacations taken by servers) and Nη (number of customers or units arriving in the system) are derived by taking combinations of these random variables. One random variable is controlled at one time to determine the effect of the other two random variables simultaneously.

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Bootstrap Confidence Intervals And Coverage Probabilities Of Regression Parameter Estimates Using Trimmed Elemental Estimation, Matthew Hall, Matthew S. Mayo Nov 2008

Bootstrap Confidence Intervals And Coverage Probabilities Of Regression Parameter Estimates Using Trimmed Elemental Estimation, Matthew Hall, Matthew S. Mayo

Journal of Modern Applied Statistical Methods

Mayo and Gray introduced the leverage residual-weighted elemental (LRWE) classification of regression estimators and a new method of estimation called trimmed elemental estimation (TEE), showing the efficiency and robustness of TEE point estimates. Using bootstrap methods, properties of various trimmed elemental estimator interval estimates to allow for inference are examined and estimates with ordinary least squares (OLS) and least sum of absolute values (LAV) are compared. Confidence intervals and coverage probabilities for the estimators using a variety of error distributions, sample sizes, and number of parameters are examined. To reduce computational intensity, randomly selecting elemental subsets to calculate the parameter …

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Robust Predictive Inference For Multivariate Linear Models With Elliptically Contoured Distribution Using Bayesian, Classical And Structural Approaches, B. M. Golam Kibria Nov 2008

Robust Predictive Inference For Multivariate Linear Models With Elliptically Contoured Distribution Using Bayesian, Classical And Structural Approaches, B. M. Golam Kibria

Journal of Modern Applied Statistical Methods

Predictive distributions of future response and future regression matrices under multivariate elliptically contoured distributions are discussed. Under the elliptically contoured response assumptions, these are identical to those obtained under matric normal or matric-t errors using structural, Bayesian with improper prior, or classical approaches. This gives inference robustness with respect to departure from the reference case of independent sampling from the matric normal or matric t to multivariate elliptically contoured distributions. The importance of the predictive distribution for skewed elliptical models is indicated; the elliptically contoured distribution, as well as matric t distribution, have significant applications in statistical practices.

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Delete And Revise Procedures For Two-Stage Short-Run Control Charts, Matthew E. Elam Nov 2008

Delete And Revise Procedures For Two-Stage Short-Run Control Charts, Matthew E. Elam

Journal of Modern Applied Statistical Methods

This article investigates the effect different delete and revise procedures have on the performance of twostage short-run control charting methodology in the second stage of its two stage procedure. Five variables control chart combinations, six delete and revise procedures, and various out-of-control situations in both stages are considered.

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A Methodology To Improve Pci Use In Industry, Milind A. Phadnis, Matthew E. Elam Nov 2008

A Methodology To Improve Pci Use In Industry, Milind A. Phadnis, Matthew E. Elam

Journal of Modern Applied Statistical Methods

This article presents the development of a methodology using decision trees to resolve issues in industry with using process capability indices (PCIs). The methodology forms the structure of a prototype decision support system (PDSS) for PCI selection, calculation, and interpretation. Download instructions for the PDSS are available at http://program.20m.com.

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The Multinomial Regression Modeling Of The Cause-Of-Death Mortality Of The Oldest Old In The U.S., Dudley L. Poston Jr., Hosik Min Nov 2008

The Multinomial Regression Modeling Of The Cause-Of-Death Mortality Of The Oldest Old In The U.S., Dudley L. Poston Jr., Hosik Min

Journal of Modern Applied Statistical Methods

The statistical modeling of the causes of death of the oldest old (persons aged 80 and over) in the U.S. in 2001 was conducted in this article. Data were analyzed using a multinomial logistic regression model (MNLM) because multiple causes of death are coded on death certificates and the codes are nominal. The percentage distribution of the 10 major causes of death among the oldest old was first examined; we next estimated a multinomial logistic regression equation to predict the likelihood of elders dying of one of the causes of death compared to dying of an “other cause.” The independent …

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Frequency Domain Modeling With Piecewise Constant Spectra, Erhard Reschenhofer Nov 2008

Frequency Domain Modeling With Piecewise Constant Spectra, Erhard Reschenhofer

Journal of Modern Applied Statistical Methods

Using piecewise constant functions as models for the spectral density of the differenced log real U.S. GDP it was found that these models have the capacity to compete with the spectral densities implied by ARMA models. According to AIC and BIC the piecewise constant spectral densities are superior to ARMA.

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Faculty Senate Meeting Minutes – November 2008, Faculty Senators Nov 2008

Faculty Senate Meeting Minutes – November 2008, Faculty Senators

Minutes 2008-2009

This is the archived record of the November 19, 2008 faculty senate meeting minutes.

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Cees Newsletter, No. 8, Nov. 2008, University Of Colorado Boulder. Center For Energy & Environmental Security Nov 2008

Cees Newsletter, No. 8, Nov. 2008, University Of Colorado Boulder. Center For Energy & Environmental Security

CEES: The Center for Energy & Environmental Security [Newsletter] (2008)

No abstract provided.

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Rhode Island Current Conditions Index — November 2008, Leonard Lardaro Nov 2008

Rhode Island Current Conditions Index — November 2008, Leonard Lardaro

The Rhode Island Current Conditions Index

No abstract provided.

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The Occupations And Earnings Of Young Australians : The Role Of Education And Training, Gary Marks Nov 2008

The Occupations And Earnings Of Young Australians : The Role Of Education And Training, Gary Marks

LSAY Research Reports

This report investigates the effect of post-secondary education and training on the occupation and earnings of young people. The majority of young Australians undertake further education and training after leaving school, and it is important to better understand the pathways that they follow, and the impact of different types of experience on the early career. Such analyses can help young people in choosing appropriate programs as well as assist policy makers in identifying resource priorities. They can also contribute to debates about the role of education in promoting social mobility and economic development. The data analysed are from a sample …

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An Examination Of The Contemporary Viability Of Moltmann's Personal And Cosmic Eschatology For Evangelical And Roman Catholic Theology, Chris Wiley Nov 2008

An Examination Of The Contemporary Viability Of Moltmann's Personal And Cosmic Eschatology For Evangelical And Roman Catholic Theology, Chris Wiley

Seminary Masters Theses

The following thesis will examine and critique Moltmann's personal and cosmic eschatology as compared and contrasted with the views of Joseph Ratzinger and Millard Erickson. These two theologians are chosen to represent critics from two schools of thought in response to Moltmann's theology of hope, namely those critical of his theological method and those critical of his political theology. This examination focuses on the viability of Moltmann's personal and cosmic eschatology in contemporary Evangelical and Catholic theology. This study begins with a review of Moltmann's methodology and general treatment of themes in his theology as they pertain to eschatology. This …

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The Reflective Principal: Surviving The Journey, Louis K. Watts Nov 2008

The Reflective Principal: Surviving The Journey, Louis K. Watts

Leadership Studies Faculty Research

I recently retired from the public school system after 34 years of service in the rural West Virginia county where I was born, reared, and educated through grade 12. For 22 of those years I was an elementary principal. Those years were an exciting and challenging time for me, and I hope that sharing some of my experiences will be entertaining and useful to young principals who are just beginning their journey. It is impossible to prescribe all of the steps that will be a part of that journey, but I can’t think of any better source of guidance than …

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Policy Profiles Vol. 8 No. 2 November 2008, Northern Illinois University Center For Governmental Studies, Rebecca Steffenson, James M. Banovetz Nov 2008

Policy Profiles Vol. 8 No. 2 November 2008, Northern Illinois University Center For Governmental Studies, Rebecca Steffenson, James M. Banovetz

Policy Profiles

Globalizing Local Economies: The Chicago Region’s Record To Date

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Bard Free Press, Vol. 10, No. 2 (November 2008), Bard College Nov 2008

Bard Free Press, Vol. 10, No. 2 (November 2008), Bard College

Bard Free Press - All Issues (2000-2018)

No abstract provided.

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The Retiree Center Newsletter - Winter 2008, Retiree Center-Winona State University Nov 2008

The Retiree Center Newsletter - Winter 2008, Retiree Center-Winona State University

WSU Retiree Newsletter

No abstract provided.

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Members In Business And Industry, November 2008, American Institute Of Certified Public Accountants (Aicpa) Nov 2008

Members In Business And Industry, November 2008, American Institute Of Certified Public Accountants (Aicpa)

Newsletters

No abstract provided.

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Planner, Volume 23, Number 6, November-December 2008, American Institute Of Certified Public Accountants (Aicpa) Nov 2008

Planner, Volume 23, Number 6, November-December 2008, American Institute Of Certified Public Accountants (Aicpa)

Newsletters

No abstract provided.

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Overattribution Effect, Sally Eimer Nov 2008

Overattribution Effect, Sally Eimer

Undergraduate Psychology Research Methods Journal

The purpose of this study was to investigate the types of judgments undergraduate students made regarding a child’s behavior they observed in a brief video clip. Their attributions were expected to be affected by a key situational factor that only some were informed of. The researcher hypothesized that participants informed that the child, in the clip, was recently diagnosed with leukemia would attribute the child’s behavior to situational factors, whereas participants not given any information about the child in the clip, would attribute the child’s behavior to things intrinsic of the child.

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