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Articles 6391 - 6420 of 15703
Full-Text Articles in Social and Behavioral Sciences
Selective Amnesia And Racial Transcendence In News Coverage Of President Obama’S Inauguration, Kristen Hoerl
Selective Amnesia And Racial Transcendence In News Coverage Of President Obama’S Inauguration, Kristen Hoerl
Department of Communication Studies: Faculty Publications
The mainstream press frequently characterized the election of President Barack Obama the first African American US President as the realization of Martin Luther King’s dream, thus crafting a postracial narrative of national transcendence. I argue that this routine characterization of Obama’s election functions as a site for the production of selective amnesia, a form of remembrance that routinely negates and silences those who would contest hegemonic narratives of national progress and unity.
Customer Satisfaction Index Of Singapore 2012: Q1 Results, Institute Of Service Excellence, Smu
Customer Satisfaction Index Of Singapore 2012: Q1 Results, Institute Of Service Excellence, Smu
Research Collection Institute of Service Excellence (2007-2024)
Between 2011 and 2012, customer satisfaction for the InfoCommunications sector rose by 1.6-points to 65.9-points (on a 0 to 100 scale). This significant 2.5% improvement reverses the downward trend the sector experienced since tracking begun in 2007.
Perceptions Of Community-Based Advocates In Jefferson County, Colorado Concerning Intimate Partner Violence Against Women, Amanda A. Lathrop
Perceptions Of Community-Based Advocates In Jefferson County, Colorado Concerning Intimate Partner Violence Against Women, Amanda A. Lathrop
Regis University Student Publications (comprehensive collection)
This qualitative study explored perceptions of community-based advocates in Jefferson County, Colorado and their experience assisting victims of intimate partner violence against women. Open-ended interview questionnaires were collected from community-based advocates and used to derive the perceptions community-based advocates hold with regard to access to community resources, ability to establish social support, improve quality of life, and ultimately reduce re-abuse. Results of these perceptions were combined with and compared to previous secondary research by Deborah Bybee and Cris Sullivan. This research of victims' perceived effectiveness combined with data collected from advocates' perceived effectiveness allowed for further insight into intimate partner …
Echo, Summer/Fall 2012, Columbia College Chicago
Echo, Summer/Fall 2012, Columbia College Chicago
Echo
Student-produced magazine formerly published as Chicago Arts and Communication, changed to Echo magazine in 1997. Cover Articles: Harcore hardcourt: bikes, beers, and bruises; Englewood illustrated: a graphic history; Belly laughs and belly flops: tales from the comedy stage; Shakespeare in need: the Sough Loop's pauper poet; Naked poster inside: you voted, we listened. 80 pages.
Suicide Rates Among Young, Married Women In Nepal, Kirra L. Hughes
Suicide Rates Among Young, Married Women In Nepal, Kirra L. Hughes
Capstone Collection
In 2009, a Maternal Mortality and Morbidity (MMM) report carried out in Nepal by the Family Health Division of the Department of Health Services accidently stumbled upon a surprising leading cause of death in Nepali women of reproductive age (15 - 49). The result: suicide. And the numbers are still on the rise. There have since been no comprehensive follow-up studies and none, to my knowledge, that are currently ongoing. This leaves an urgent need for research to be done on the causes of these suicides (Benson and Shakya, 2011; Bertolote et al, 2005; Pradhan et al, 2009).
Globally, there …
Status: In A Relationship How Effective Is Customer Relationship Marketing On Facebook?, Courtney Weiss
Status: In A Relationship How Effective Is Customer Relationship Marketing On Facebook?, Courtney Weiss
Honors Projects in Marketing
Facebook provides an avenue for companies to connect with consumers in new ways. Since so many tools for communication are available on the site, it can be difficult for a company to focus its marketing efforts. This study examines how consumers respond to Facebook Advertisements and company pages on Facebook in order to determine where companies should allocate their resources on the social networking site. Specifically, it explores consumer click-through rates on Facebook Ads, as well as consumer perception of various Facebook promotional tools. The methodology includes traditional research in the form of a literature review, as well as focus …
The Faculty Notebook, May 2012, Provost's Office
The Faculty Notebook, May 2012, Provost's Office
Faculty Notebook
The Faculty Notebook is published periodically by the Office of the Provost at Gettysburg College to bring to the attention of the campus community accomplishments and activities of academic interest. Faculty are encouraged to submit materials for consideration for publication to the Associate Provost for Faculty Development. Copies of this publication are available at the Office of the Provost.
Batter Up, Spokane: Gonzaga College's Early Baseball Years, 1887-1912, Stephanie Plowman
Batter Up, Spokane: Gonzaga College's Early Baseball Years, 1887-1912, Stephanie Plowman
Foley Library Scholarship
No abstract provided.
The Impact Of Violating Factor Scaling Method Assumptions On Latent Mean Difference Testing In Structured Means Models, Dandan Wang, Tiffany A. Whittaker, S. Natasha Beretvas
The Impact Of Violating Factor Scaling Method Assumptions On Latent Mean Difference Testing In Structured Means Models, Dandan Wang, Tiffany A. Whittaker, S. Natasha Beretvas
Journal of Modern Applied Statistical Methods
Type I error rates and power of the likelihood ratio test and bias of the standardized effect size measure associated with the latent mean difference in structured means modeling are examined when violating the assumptions underlying the two available factor scaling methods under various conditions. Implications and recommendations are discussed.
New Approximate Bayesian Confidence Intervals For The Coefficient Of Variation Of A Gaussian Distribution, Vincent A. R. Camara
New Approximate Bayesian Confidence Intervals For The Coefficient Of Variation Of A Gaussian Distribution, Vincent A. R. Camara
Journal of Modern Applied Statistical Methods
Confidence intervals are constructed for the coefficient of variation of a Gaussian distribution. Considering the square error and the Higgins-Tsokos loss functions, approximate Bayesian models are derived and compared to a published classical model. The models are shown to have great coverage accuracy. The classical model does not always yield the best confidence intervals; the proposed models often perform better.
A Poisson Regression Model For Female Radium Dial Workers, Tze-San Lee
A Poisson Regression Model For Female Radium Dial Workers, Tze-San Lee
Journal of Modern Applied Statistical Methods
A Poisson regression model with interaction terms was applied to study the dose response relationship for radium-induced skeletal cancers. The model showed that the expected frequency count of bone tumors depended not only on the logarithmic dose and the time since first exposure, but also on the interaction between the logarithmic dose and the time since first exposure, whereas the dose-response model for head tumors depended only on the logarithmic dose.
Jmasm 32: Sas Template For Single-Subject Experimental Designs, Hyewon Chung, Jiseon Kim, Ryoungsun Park
Jmasm 32: Sas Template For Single-Subject Experimental Designs, Hyewon Chung, Jiseon Kim, Ryoungsun Park
Journal of Modern Applied Statistical Methods
Meta-analysis has been used to synthesize research findings and to evaluate the effectiveness of treatments or the accuracy of diagnostic tools. Although meta-analytic techniques were developed to synthesize the results of several studies, controversy exists as to how to quantify the results from singlesubject experimental designs (SSEDs). The most commonly used metrics are reviewed, including nonregression and regression based methods. The application of the SAS template is demonstrated through simulated data sets. The SAS templates can be modified to accommodate a more complex data structure.
The Length-Biased Lognormal Distribution And Its Application In The Analysis Of Data From Oil Field Exploration Studies, Makarand V. Ratnaparkhi, Uttara V. Naik-Nimbalkar
The Length-Biased Lognormal Distribution And Its Application In The Analysis Of Data From Oil Field Exploration Studies, Makarand V. Ratnaparkhi, Uttara V. Naik-Nimbalkar
Journal of Modern Applied Statistical Methods
The length-biased version of the lognormal distribution and related estimation problems are considered and sized-biased data arising in the exploration of oil fields is analyzed. The properties of the estimators are studied using simulations and the use of sample mode as an estimate of the lognormal parameter is discussed.
Four Period Crossover Designs, James F. Reed Iii
Four Period Crossover Designs, James F. Reed Iii
Journal of Modern Applied Statistical Methods
In higher-order four period crossover designs with two treatments, sixteen possible treatment sequences can result: AAAA, AAAB, AABA, AABB, ABAA, ABAB, ABBA, ABBB and their duals. Higher-order crossover designs are useful for several reasons: they allow estimation of a treatment effect even in the presence of a carry-over effect, they provide estimates of intra-subject variability and they draw inference on the carry-over effect. The real question related to a two-treatment four-period crossover design is the real world application of these designs. This article considers four designs: Design I: ABBA and its dual; Design II: ABBA, AABB and their duals, Design …
Gamma-Pareto Distribution And Its Applications, Ayman Alzaatreh, Felix Famoye, Carl Lee
Gamma-Pareto Distribution And Its Applications, Ayman Alzaatreh, Felix Famoye, Carl Lee
Journal of Modern Applied Statistical Methods
A new distribution, the gamma-Pareto, is defined and studied and various properties of the distribution are obtained. Results for moments, limiting behavior and entropies are provided. The method of maximum likelihood is proposed for estimating the parameters and the distribution is applied to fit three real data sets.
A Weighted Exponential Detection Function Model For Line Transect Data, Faisal Ababneh, Omar M. Eidous
A Weighted Exponential Detection Function Model For Line Transect Data, Faisal Ababneh, Omar M. Eidous
Journal of Modern Applied Statistical Methods
A new parametric model is proposed for modeling the density function of perpendicular distances in line transects sampling. The model can be considered a weighted exponential model in the sense that it combines two exponential models with different weights. The proposed model is appealing because it is monotone decreasing with distance from transect line; in contrast to the classical exponential model, it satisfies the shoulder condition at the origin. Simulation results for a wide range of target densities show reasonable and good performances of the weighted exponential model in most considered cases compared to the classical exponential and the half-normal …
Ordinal Regression Analysis: Using Generalized Ordinal Logistic Regression Models To Estimate Educational Data, Xing Liu, Hari Koirala
Ordinal Regression Analysis: Using Generalized Ordinal Logistic Regression Models To Estimate Educational Data, Xing Liu, Hari Koirala
Journal of Modern Applied Statistical Methods
The proportional odds (PO) assumption for ordinal regression analysis is often violated because it is strongly affected by sample size and the number of covariate patterns. To address this issue, the partial proportional odds (PPO) model and the generalized ordinal logit model were developed. However, these models are not typically used in research. One likely reason for this is the restriction of current statistical software packages: SPSS cannot perform the generalized ordinal logit model analysis and SAS requires data restructuring. This article illustrates the use of generalized ordinal logistic regression models to predict mathematics proficiency levels using Stata and compares …
Robust Regression Estimates In The Prediction Of Latent Variables In Structural Equation Models, Marcelo Angelo Cirillo, Lúcia Pereira Barroso
Robust Regression Estimates In The Prediction Of Latent Variables In Structural Equation Models, Marcelo Angelo Cirillo, Lúcia Pereira Barroso
Journal of Modern Applied Statistical Methods
The incorporation of the robust regression methods Least Median Square (LMS) and Least Trimmed Squares (LTS) is proposed in structural equation modeling. Results show that, in situations of high deviations of symmetry, the evaluated methods would be recommended for applications including smaller sample sizes.
Comparison Of Re-Sampling Methods To Generalized Linear Models And Transformations In Factorial And Fractional Factorial Designs, Maher Qumsiyeh, Gerald Shaughnessy
Comparison Of Re-Sampling Methods To Generalized Linear Models And Transformations In Factorial And Fractional Factorial Designs, Maher Qumsiyeh, Gerald Shaughnessy
Journal of Modern Applied Statistical Methods
Experimental situations in which observations are not normally distributed frequently occur in practice. A common situation occurs when responses are discrete in nature, for example counts. One way to analyze such experimental data is to use a transformation for the responses; another is to use a link function based on a generalized linear model (GLM) approach. Re-sampling is employed as an alternative method to analyze non-normal, discrete data. Results are compared to those obtained by the previous two methods.
Statistical Inferences For Lomax Distribution Based On Record Values (Bayesian And Classical), Parviz Nasiri, Saman Hosseini
Statistical Inferences For Lomax Distribution Based On Record Values (Bayesian And Classical), Parviz Nasiri, Saman Hosseini
Journal of Modern Applied Statistical Methods
A maximum likelihood estimation (MLE) based on records is obtained and a proper prior distribution to attain a Bayes estimation (both informative and non-informative) based on records for quadratic loss and squared error loss functions is also calculated. The study considers the shortest confidence interval and Highest Posterior Distribution confidence interval based on records, and using Mean Square Error MSE criteria for point estimation and length criteria for interval estimation, their appropriateness to each other is examined.
Empirical Sampling From Permutation Space With Unique Patterns, Justice I. Odiase
Empirical Sampling From Permutation Space With Unique Patterns, Justice I. Odiase
Journal of Modern Applied Statistical Methods
The exact distribution of a test statistic ultimately guarantees that the probability of a Type I error is exactly α. Several methods for estimating the exact distribution of a test statistic have evolved over the years with inherent computational problems and varying degrees of accuracy. The unique pattern of permutations resulting from using experimental data to sample within the permutation space without the risk of repeating permutations is identified. The method presented circumvents the theoretical requirements of asymptotic procedures and the computational difficulties associated with an exhaustive enumeration of permutations. Results show that time and space complexities are drastically reduced …
Weight: Does It Really Matter?, Jennifer L. Brown, Gerald Halpin, Glennelle Halpin
Weight: Does It Really Matter?, Jennifer L. Brown, Gerald Halpin, Glennelle Halpin
Journal of Modern Applied Statistical Methods
Differential weighting promises to improve the validity of a measure. This study examines whether similar results would be found using weighted, unweighted and standardized z scores from the All Stars Core survey. It was concluded that the weighted systems were developed to equate the questions within the scales and to ease the process for customers without access to data analysis programs; however, the standardized scores were the more appropriate method for equating the test items.
Ratio Type Estimator Of Ratio Of Two Population Means In Stratified Random Sampling, Rajesh Tailor, Sunil Chouhan
Ratio Type Estimator Of Ratio Of Two Population Means In Stratified Random Sampling, Rajesh Tailor, Sunil Chouhan
Journal of Modern Applied Statistical Methods
A ratio estimator is proposed for the ratio of two population means using auxiliary information in stratified random sampling. Bias and mean squared error expressions are obtained under large sample approximation, and the proposed estimator is compared both theoretically and empirically with the conventional estimator of ratio for two population means in stratified random sampling.
Parameter Estimation With Mixture Item Response Theory Models: A Monte Carlo Comparison Of Maximum Likelihood And Bayesian Methods, W. Holmes Finch, Brian F. French
Parameter Estimation With Mixture Item Response Theory Models: A Monte Carlo Comparison Of Maximum Likelihood And Bayesian Methods, W. Holmes Finch, Brian F. French
Journal of Modern Applied Statistical Methods
The Mixture Item Response Theory (MixIRT) can be used to identify latent classes of examinees in data as well as to estimate item parameters such as difficulty and discrimination for each of the groups. Parameter estimation via maximum likelihood (MLE) and Bayesian estimation based on the Markov Chain Monte Carlo (MCMC) are compared for classification accuracy and parameter estimation bias for difficulty and discrimination. Standard error magnitude and coverage rates were compared across number of items, number of latent groups, group size ratio, total sample size and underlying item response model. Results show that MCMC provides more accurate group membership …
A Study On Underwriting Cycle Of Property Insurance Industry Of China, Lin Zhang, Linjuan Tang
A Study On Underwriting Cycle Of Property Insurance Industry Of China, Lin Zhang, Linjuan Tang
Journal of Modern Applied Statistical Methods
Methods in underwriting cycle research are compared. A second-order autoregressive model, which includes structural transition and Christiano-Fitzgerald (CF) Filter method, is used to analyze China’s underwriting cycle with annual property insurance loss ratio data from 1982 to 2008. Results show that the underwriting cycle is 11-12 years and, from the phase of underwriting cycle, management suggestions about underwriting cycle phenomenon are provided.
Regression Models For Mixed Over-Dispersed Poisson And Continuous Clustered Data: Modeling Bmi And Number Of Cigarettes Smoked Per Day, Folefac Atem, Julius S. Ngwa, Abidemi Adeniji
Regression Models For Mixed Over-Dispersed Poisson And Continuous Clustered Data: Modeling Bmi And Number Of Cigarettes Smoked Per Day, Folefac Atem, Julius S. Ngwa, Abidemi Adeniji
Journal of Modern Applied Statistical Methods
Clustered data, multiple observations collected on the same experimental unit, is common in epidemiological studies. Bivariate outcome data is often the result of interest in two correlated response variables. An efficient method is presented for dealing with bivariate outcomes when one outcome is continuous and the other is a count using a simple transformation to handle over-dispersed Poisson data. A multilevel analysis was performed on data from the National Health Interview Survey (NHIS) with body mass index (BMI) and the number of cigarettes smoked per day (NCS) as responses. Results show that these random effects models yield misleading results in …
Steady State Probabilities Of A Three Preemptive Single Server Queue, Ameen Jameel Alawneh
Steady State Probabilities Of A Three Preemptive Single Server Queue, Ameen Jameel Alawneh
Journal of Modern Applied Statistical Methods
A three preemptive priority queuing system is considered where customers with three priorities joined a queue according to a Poisson process. A customer with higher priority needs to enter the service immediately upon arrival. The recursive formulas approach was extended to determine the steady state probabilities of such a priority queuing system.
Rhode Island Current Conditions Index — May 2012, Leonard Lardaro
Rhode Island Current Conditions Index — May 2012, Leonard Lardaro
The Rhode Island Current Conditions Index
No abstract provided.
The Judicial System In Venezuela & The Lack Of Checks And Balances, Jessica Gicherman
The Judicial System In Venezuela & The Lack Of Checks And Balances, Jessica Gicherman
HIM 1990-2015
Although the wave of democratization already took place in Latin America, Venezuela has experienced a reversal in the past decade. In earlier years, the higher courts (although independent) had no impact on society; the justice members only assumed a symbolic role with no real importance, but with time, this characteristic started to interchange and the Judicial branch began to get involved in issues regarding its civil society. Consequently, the elected President Hugo Chavez decided to neutralize the power of all branches of government, including the judiciary, by enacting a set of rules not commonly seen in a democratic country, which …
Does School Quality Affect Real Estate Prices? The Effect Of Top-Tier Elementary Schools On Property Prices In Shanghai, Wanyi Li
Economics Honors Projects
This study adapted the hedonic pricing model and inspected how varying elementary school quality affects property prices in Shanghai. Because the variation of school quality appeared before the capitalization of the housing market, the obtained results suggest a causal relationship. The data set comprises top-tier elementary school information from eWOM, the yearly school attendance zones published by the government, and the Shanghai Existing Property Index, which has a sample of similarly structured apartments. Main results show that prices on average increase 41.9% more in the top-tier school districts under the standardized housing system, and range from 15.5% to 69.7% among …