Social and Behavioral Sciences Commons^™

Citizens For Peace 2020 Activities & Accomplishments, Colleen Mills

Citizens for Peace

Citizens for Peace 2020 Activities & Accomplishments

Language Concordance In Medicine And The Need For Medical Schools To Require Taking A Foreign Language As An Intervention Method To Minimize Language Barriers In The U.S., Mary K. Yousif

Honors College Theses

During medical school future student doctors are exposed to a multitude of patients, both natives and non-natives. However, there is no course offering (such as a foreign language or culture class) provided within the curriculum that prepares them for these future interactions. With communication being one of the primary skills used in healthcare, it is imperative to discuss the effects it can cause on a patient if not established. Overall, the goal of this research is to conduct a literary investigation regarding this matter and educate the medical community about the importance of providing effective communication in medicine. This begins …

The Causes, Contributors, And Consequences Of Colorism Among Various Cultures, Mahima Rahman

Honors College Theses

Along with issues like racism, sexism, and classism, colorism exists and works alongside these other “-isms” to dehumanize people with darker skin all around the world. To tackle the problem of colorism and have people unlearn it, a deeper analysis needs to be done of how it originated, how it continues to be perpetuated, and what its effects are. The causes, contributors, and consequences of colorism share similarities and vary across different cultures. This literature review will examine the three aspects of colorism mentioned within five different cultures: South Asian, Western, East Asian, Latino, and Caribbean culture. After examining previous …

Confirmative Evaluation: New Cipp Evaluation Model, Tia L. Finney

Journal of Modern Applied Statistical Methods

Struggling trainees often require a substantial investment of time, effort, and resources from medical educators. An emergent challenge involves developing effective ways to accurately identify struggling students and better understand the primary causal factors underlying their poor performance. Identifying the potential reasons for poor performance in medical school is a key first step in developing suitable remediation plans. The SOM Modified Program is a remediation program that aims to ensure academic success for medical students. The purpose of this study is to determine the impact of modifying the CIPP evaluation model by adding a confirmative evaluation step to the model. …

Balancing Services And Safety During The Pandemic: One Law Library’S Story, Virginia C. Thomas

Library Scholarly Publications

Michigan’s academic law libraries, which have provided access to their extensive collections to legal professionals and pro per patrons alike, have had to rethink how to do so in effective, but contactless, ways. In the middle of this pandemic, how can we continue to get legal information to those who need it— and safely?

Gut Reactions And Clinical Decisions, Joseph Friedli Md

Clinical Research in Practice: The Journal of Team Hippocrates

The author reflects on a patient encounter where the diagnosis was made by gut reaction.

Clinical Decision Science: Proof Of Concept, James Peter Meza Md, Phd, Nicholus Yee Md, Bennett Riddering Md, Ali Nasrallah Md, Urtė Zableckas Ms, Mbbs

Clinical Research in Practice: The Journal of Team Hippocrates

Clinical decision science, a newly identified area of scholarship, describes how clinical research is used for a patient, within the context of their unique social conditions. We hypothesize that physicians use sociocultural context as an important input to their decision making. We performed a prospective, randomized, double-blind mixed methods study. Family medicine faculty and residents at a community hospital family medicine residency were included in the study. After academic journal club discussing a primary research paper, physicians were asked if they would prescribe medication for a patient who was similar to the subjects in a research paper. However, social and …

Are We Planning For Equity? Equity Goals And Recommendations In Local Comprehensive Plans, Carolyn G. Loh, Rose Kim

Urban Studies and Planning Faculty Research Publications

Problem, Research Strategy, and Findings:

Social equity goals are supposed to be prioritized in planning along with economic and environmental goals, yet in practice they are often de-emphasized. We develop a publicly available plan equity evaluation tool to investigate to what extent and in what ways local governments include goals and recommendations that would advance equitable outcomes in their comprehensive plans. Using plan content analysis, we find that most plans do not talk about equity, nor do they include many goals and recommendations that would advance equity. More recent plans, plans in communities with more planning capacity, plans in …

Maximizing Data Quality And Shortening Survey Time: Three-Form Planned Missing Data Survey Design, E. Whitney G. Moore, Kyle M. Lang, Elizabeth M. Grandfield

Kinesiology, Health and Sport Studies

Simulation studies have shown the three-form planned missing data design efficiently collects high quality data while reducing participant burden. This methodology is rarely used in sport and exercise psychology. Therefore, we conducted a re-sampling study with existing sport and exercise psychology survey data to test how three-form planned missing data survey design implemented with different item distribution approaches effect constructs’ internal measurement structure and validity. Results supported the efficacy of the three-form planned missing data survey design for cross-sectional data collection. Sample sizes of at least 300 (i.e., 100 per form) are recommended for having unbiased parameter estimates. It is …

Robustness Of The Ewma Sampling Plan To Non-Normality, Uttama Mishra, S. Siddiqui, J. R. Singh

Journal of Modern Applied Statistical Methods

The effect of non-normality on the OC function of the sampling plan under EWMA is studied by deriving the OC function for a non-normal population represented by the first four terms of an Edgeworth series.

Misguided Opposition To Multiplicity Adjustment Remains A Problem, Andrew V. Frane

Journal of Modern Applied Statistical Methods

Fallacious arguments against multiplicity adjustment have been cited with increasing frequency to defend unadjusted tests. These arguments and their enduring impact are discussed in this paper.

Mindfulness Therapy Is An Effective Adjunctive Treatment For Adolescents Living With Hiv, Samantha Rea

Clinical Research in Practice: The Journal of Team Hippocrates

A clinical decision report appraising Webb L, Perry-Parrish C, Ellen J, Sibinga E. Mindfulness instruction for HIV-infected youth: a randomized controlled trial. AIDS Care. 2018;30(6):688–695. https://doi.org/10.1080/09540121.2017.1394434

Economic Design Of X̅ Control Chart Under Double Ewma, Manzoor A. Khanday, J. R. Singh

Journal of Modern Applied Statistical Methods

Designing of parameters plays an important role in economic design of control charts for lowering the cost and time. Manipulating sample size (n) and sampling interval (h), the effect of double exponentially weighted moving average (DEWMA) model was studied for the Economic Design (ED) of X̅ control chart. Optimum sizes and level were obtained when the characteristics of an item possesses DEWMA model. When shifts are uncertain the optimal design for DEWMA chart should be more conservative and should be implemented for benefiting the consumers as well as producers.

An Investigation Of Chi-Square And Entropy Based Methods Of Item-Fit Using Item Level Contamination In Item Response Theory, William R. Dardick, Brandi A. Weiss

Journal of Modern Applied Statistical Methods

New variants of entropy as measures of item-fit in item response theory are investigated. Monte Carlo simulation(s) examine aberrant conditions of item-level misfit to evaluate relative (compare EMR_j, X², G², S-X², and PV-Q₁) and absolute (Type I error and empirical power) performance. EMR_j has utility in discovering misfit.

Psychosocial Climates Differentially Predict 12- To 14-Year-Old Competitive Soccer Players’ Goal Orientations, E. Whitney G. Moore, Karen Weiller-Abels

Kinesiology, Health and Sport Studies

Youth’s likelihood of participating in sport increases when they maintain a focus on enjoyment, learning, and effort (i.e., task goal orientation) rather than how they compare to others and norms (i.e., ego goal orientation). Achievement goal theory research consistently illustrates the significant influence of leader-created motivational climates on their participants’ goal orientation adoption. However, the influence of caring climate perceptions by highly competitive adolescent athletes on their goal orientation adoption has yet to be examined. Thus, this study assessed how competitive, adolescent soccer players’ perceptions of the climate as caring, task-, and ego-involving predicted their adoption of task and ego …

Techs And The Cities: A New Economic Development Paradigm?, Gary Sands, Pierre Filion, Laura A. Reese

Urban Studies and Planning Faculty Research Publications

Large technology firms pose new challenges for local economic development in the 21st century. They are attractive targets for local economic developers because they have the potential of providing permanent, well-paying jobs. This article examines two mega-economic development deals. Amazon’s proposed second headquarters in Queens and Sidewalk Labs’ Quayside proposal for the Toronto waterfront pit large and prosperous Big Tech firms against local governments with healthy economies. Amazon abandoned the New York City site it had chosen, rather than open new negotiations with local officials and citizens. Sidewalk Labs withdrew from the Quayside proposal after two and a half years …

Logistic Regression Under Sparse Data Conditions, David A. Walker, Thomas J. Smith

Journal of Modern Applied Statistical Methods

The impact of sparse data conditions was examined among one or more predictor variables in logistic regression and assessed the effectiveness of the Firth (1993) procedure in reducing potential parameter estimation bias. Results indicated sparseness in binary predictors introduces bias that is substantial with small sample sizes, and the Firth procedure can effectively correct this bias.

Estimating A Multilevel Model With Complex Survey Data: Demonstration Using Timss, Julie Lorah

Journal of Modern Applied Statistical Methods

Analysis of complex survey data is demonstrated for the multilevel model. Description of specific aspects of analysis, including plausible values, sampling weights, and replicate weights is provided. Following this, example TIMSS data and models are described and results are presented.

Concomitant Of Order Statistics From New Bivariate Gompertz Distribution, Sumit Kumar, M. J. S. Khan, Surinder Kumar

Journal of Modern Applied Statistical Methods

For the new bivariate Gompertz distribution, the expression for probability density function (pdf) of r^th order statistics and pdf of concomitant arising from r^th order statistics are derived. The properties of concomitant arising from the corresponding order statistics are used to derive these results. The exact expression for moment generating function (mgf) of concomitant of order r^th statistics is derived. Also, the mean of concomitant arising from r^th order statistics is computed using the mgf of concomitant of r^th order statistics, and the exact expression for joint density of concomitant of two non-adjacent order statistics …

Simple Unequal Allocation Procedure For Ranked Set Sampling With Skew Distributions, Dinesh Bhoj, Girish Chandra

Journal of Modern Applied Statistical Methods

A practical unbalanced Ranked Set Sampling (RSS) model is proposed to estimate the population mean of positively skewed distributions. The gains in the relative precisions of the population mean based on the proposed model for chosen distributions are uniformly higher than those based on balanced RSS and the t-model proposed in Kaur et al. (1997). The relative precisions of the simple unequal allocation model are, with one exception, better than (s, t)-model which is better than t-model. The relative precision of the proposed model is very close or equal to the optimal Neyman allocation model.

A Preliminary Study Interrogating The Cataloging And Classification Schemes Of A K-12 Book Discovery Platform Through A Critical Race Theory Lens, Kafi D. Kumasi, Cynthia Jimes, Amee Evans Godwin, Lisa A. Petrides, Anastasia Karaglani

School of Information Sciences Faculty Research Publications

This article presents the results of a preliminary study to examine the cataloging and classification schemes and ideological factors that play out in book discovery platforms for children’s and young adult books. Using Critical Race Theory and a Rapid Contextual Design approach to exploring the curatorial behaviors of school librarians when searching for diverse books, the study offers design ideas for retooling discovery platforms in ways that bridge the cultural disconnect that young adults from historically marginalized racial backgrounds experience in their libraries. The article concludes that in order for school librarians to find, recommend and teach about books that …

Almost All Missing Data Are Mnar, Thomas R. Knapp

Journal of Modern Applied Statistical Methods

Rubin (1976, and elsewhere) claimed that there are three kinds of “missingness”: missing completely at random; missing at random; and missing not at random. He gave examples of each. The article that now follows takes an opposing view by arguing that almost all missing data are missing not at random.

A Primer On Statistical Inferences For Finite Populations, Thomas R. Knapp

Journal of Modern Applied Statistical Methods

This primer is intended to provide the basic information for sampling without replacement from finite populations.

Jmasm 54: A Comparison Of Four Different Estimation Approaches For Prognostic Survival Oral Cancer Model, Wan Muhamad Amir, Muhammad Azeem, Masitah Hayati Harun, Zalila Ali, Mohamad Shafiq

Journal of Modern Applied Statistical Methods

Four types of estimation approaches for prognostic survival oral cancer model building are considered via a SAS algorithm: Efron’s Method, Exact Method, Breslow’s Method, and Discrete Method. Each method is illustrated separately and compared according to their coefficient parameter. An approach is considered by adding a bootstrapping technique for each handling ties method and a complete SAS algorithm is supplied for each proposed method, including methods for handling ties.

A New Two-Parametric ‘Useful’ Fuzzy Information Measure And Its Properties, Saima Manzoor Sofi, Safina Peerzada, Mirza Abdul Khalique Baig

Journal of Modern Applied Statistical Methods

A ‘useful’ fuzzy measure of order α and type β is developed. Its validity established with a numerical example.

A New Two Parametric Weighted Generalized Entropy For Lifetime Distributions, Bilal Ahmad Bhat, Mirza Abdul Khaliq Baig

Journal of Modern Applied Statistical Methods

The concept of weighted generalized entropy and its dynamic residual (version) is developed. The general expressions of these two uncertainty measures corresponding to some well-known lifetime distributions are derived. It is shown that the proposed dynamic entropy determines the survival function uniquely. Some significant properties and inequalities of this dynamic entropy are also discussed.

Even Order Ranked Set Sampling With Auxiliary Variable, Muhammad Tayyab, Muhammad Noor Ul-Amin, Muhammad Hanif

Journal of Modern Applied Statistical Methods

Even order ranked set sampling (EORSS) is a novel proposed ranked set sampling scheme connected with an auxiliary variable correlated with the study variable. This scheme quantifies only the one sampling unit which is at even position from each ranking set by employing specific criteria. The performance of the ratio estimator under EORSS is compared to its contemporary estimators in simple random sampling (SRS), ranked set sampling (RSS), median ranked set sampling (MRSS) and quartile ranked set sampling (QRSS) exploiting the same number of quantified units. The simulation results proved that EORSS is an efficient alternative sampling scheme for ratio …

Objectives Driven Participatory Evaluation Model, Dustin R. Saalman

Journal of Modern Applied Statistical Methods

The ability to complete program evaluations of educational programming is typically restricted by the availability of resources, such as time, money and a trained evaluator. Although not a replacement for trained evaluators, promoting evaluative capacity and evaluative thinking within an organization can help mitigate this gap between talent and resources. Participatory evaluation is purported to increase organizational learning and promote evaluative thinking within an organization (Cousins & Whitmore, 1998). Objectives oriented evaluation is an easily understood evaluation method which provides a refined focus program outcome (Madaus & Stufflebeam, 1989). Using an internal evaluation of a new faculty onboarding course at …

Maximum Likelihood Estimations Based On Upper Record Values For Probability Density Function And Cumulative Distribution Function In Exponential Family And Investigating Some Of Their Properties, Saman Hosseini, Parviz Nasiri, Sharad Damodar Gore

Journal of Modern Applied Statistical Methods

A useful subfamily of the exponential family is considered. The ML estimation based on upper record values are calculated for the parameter, Cumulative Density Function, and Probability Density Function of the subfamily. The relationship between MLE based on record values and a random sample are discussed, along with some properties of these estimators, and its utility is shown for large samples.

The Comparison Between Maximum Weighted And Trimmed Likelihood Estimator Of The Simple Circular Regression Model, Ehab A. Mahmood, Habshah Midi, Abdul Ghapor Hussin

Journal of Modern Applied Statistical Methods

The Maximum Likelihood Estimator (MLE) was used to estimate unknown parameters of the simple circular regression model. However, it is very sensitive to outliers in data set. A robust method to estimate model parameters is proposed.