Social and Behavioral Sciences Commons^™

Racial Experience As An Alternative Operationalization Of Race, Jada Benn Torres, Gabriel A. Torres Colón

Human Biology Open Access Pre-Prints

The study of human variation is central to both social and biomedical sciences; however, despite agreeing that variation is integral to the human experience, social and biomedical scientists diverge in how variation is theorized and operationalized. Race becomes especially problematic because it is a cultural concept that contains implicit and explicit understandings of how collective bodies differ. In this paper, we propose an operationalization of race that is attentive to both racial experience and human biological diversity—placing them within the same ontological sphere. Furthermore, we argue that this approach can more effectively advance antiracist pedagogy and politics.

We argue that …

So You Think You Can Model? A Guide To Building And Evaluating Archaeological Simulation Models Of Dispersals, Iza Romanowska

Human Biology Open Access Pre-Prints

With the current surge of simulation studies in archaeology there is a growing concern for the lack of engagement and feedback between modellers and domain specialists. To facilitate this dialogue I present a compact guide to the simulation modelling process applied to a common research topic and the focus of this special issue of Human Biology—human dispersals. The process of developing a simulation is divided into nine steps grouped in three phases. The conceptual phase consists of identifying research questions (step 1) and finding the most suitable method (step 2), designing the general framework and the resolution of the …

Assessing Student Perceptions Of Indigenous Science Co-Educators, Interest In Stem, And Identity As A Scientist: A Pilot Study, Sarah Alkholy, Fidji Gendron, Tanya Dahms, Maria Pontes Ferreira

Nutrition and Food Science Faculty Research Publications

Minorities are underrepresented in the science, technology, engineering, and mathematics (STEM) workforce, post-secondary STEM education, and show high academic attrition rates. Academic performance and retention improve when culturally relevant support is provided. The interface of Western science and Indigenous science provides an opportunity for bridging this divide. We hypothesized that there would be regional (U.S.A. vs. Canada) differences amongst post-secondary students regarding these variables: perceptions of traditional Elders as STEM co-educators; interest in STEM; and self-identity as a scientist. We conducted a short-term longitudinal pilot study of an interdisciplinary, multi-institutional, and cross-cultural STEM course in the spring of 2013. This …

Approaches For Detection Of Unstable Processes: A Comparative Study, Yerriswamy Wooluru, D. R. Swamy, P. Nagesh

Journal of Modern Applied Statistical Methods

A process is stable only when parameters of the distribution of a process or product characteristic remain same over time. Only a stable process has the ability to perform in a predictable manner over time. Statistical analysis of process data usually assume that data are obtained from stable process. In the absence of control charts, the hypothesis of process stability is usually assessed by visual examination of the pattern in the run chart. In this paper appropriate statistical approaches have been adopted to detect instability in the process and compared their performance with the run chart of considerably shorter length …

Contrails: Causal Inference Using Propensity Scores, Dean S. Barron

Journal of Modern Applied Statistical Methods

Contrails are clouds caused by airplane exhausts, which geologists contend decrease daily temperature ranges on Earth. Following the 2001 World Trade Center attack, cancelled domestic flights triggered the first absence of contrails in decades. Resultant exceptional data capacitated causal inference analysis by propensity score matching. Estimated contrail effect was 6.8981°F.

The Bayes Factor For Case-Control Studies With Misclassified Data, Tzesan Lee

Journal of Modern Applied Statistical Methods

The question of how to test if collected data for a case-control study are misclassified was investigated. A mixed approach was employed to calculate the Bayes factor to assess the validity of the null hypothesis of no-misclassification. A real-world data set on the association between lung cancer and smoking status was used as an example to illustrate the proposed method.

Statistical Modeling Of Migration Attractiveness Of The Eu Member States, Tatiana Tikhomirova, Yulia Lebedeva

Journal of Modern Applied Statistical Methods

Identifying the relationship between the migration attractiveness of the European Union countries and their level of socio-economic development is investigated. An approach is proposed identify influences on migration socio-economic characteristics, by aggregating and reducing their diversity, and substantiating the cause-and-effect relationships of the studied phenomenon. A stable classification of countries scheme is developed according to the attractiveness of migration on aggregate factors, and then an econometric model of a binary choice using panel data for 2008-2010 was applying, quantifying the impact of aggregate designed factors on immigration and emigration.

Bayesian Analysis Under Progressively Censored Rayleigh Data, Gyan Prakash

Journal of Modern Applied Statistical Methods

The one-parameter Rayleigh model is considered as an underlying model for evaluating the properties of Bayes estimator under Progressive Type-II right censored data. The One‑Sample Bayes prediction bound length (OSBPBL) is also measured. Based on two different asymmetric loss functions a comparative study presented for Bayes estimation. A simulation study was used to evaluate their comparative properties.

An Empirical Study On Different Ranking Methods For Effective Data Classification, Ilangovan Sangaiah, A. Vincent Antony Kumar, Appavu Balamurugan

Journal of Modern Applied Statistical Methods

Ranking is the attribute selection technique used in the pre-processing phase to emphasize the most relevant attributes which allow models of classification simpler and easy to understand. It is a very important and a central task for information retrieval, such as web search engines, recommendation systems, and advertisement systems. A comparison between eight ranking methods was conducted. Ten different learning algorithms (NaiveBayes, J48, SMO, JRIP, Decision table, RandomForest, Multilayerperceptron, Kstar) were used to test the accuracy. The ranking methods with different supervised learning algorithms give different results for balanced accuracy. It was shown the selection of ranking methods could be …

Two Stage Robust Ridge Method In A Linear Regression Model, Adewale Folaranmi Lukman, Oyedeji Isola Osowole, Kayode Ayinde

Journal of Modern Applied Statistical Methods

Two Stage Robust Ridge Estimators based on robust estimators M, MM, S, LTS are examined in the presence of autocorrelation, multicollinearity and outliers as alternative to Ordinary Least Square Estimator (OLS). The estimator based on S estimator performs better. Mean square error was used as a criterion for examining the performances of these estimators.

Semi-Parametric Non-Proportional Hazard Model With Time Varying Covariate, Kazeem A. Adeleke, Alfred A. Abiodun, R. A. Ipinyomi

Journal of Modern Applied Statistical Methods

The application of survival analysis has extended the importance of statistical methods for time to event data that incorporate time dependent covariates. The Cox proportional hazards model is one such method that is widely used. An extension of the Cox model with time-dependent covariates was adopted when proportionality assumption are violated. The purpose of this study is to validate the model assumption when hazard rate varies with time. This approach is applied to model data on duration of infertility subject to time varying covariate. Validity is assessed by a set of simulation experiments and results indicate that a non proportional …

Structural Properties Of Transmuted Weibull Distribution, Kaisar Ahmad, S. P. Ahmad, A. Ahmed

Journal of Modern Applied Statistical Methods

The transmuted Weibull distribution, and a related special case, is introduced. Estimates of parameters are obtained by using a new method of moments.

New Entropy Estimators With Smaller Root Mean Squared Error, Amer Ibrahim Al-Omari

Journal of Modern Applied Statistical Methods

New estimators of entropy of continuous random variable are suggested. The proposed estimators are investigated under simple random sampling (SRS), ranked set sampling (RSS), and double ranked set sampling (DRSS) methods. The estimators are compared with Vasicek (1976) and Al-Omari (2014) entropy estimators theoretically and by simulation in terms of the root mean squared error (RMSE) and bias values. The results indicate that the suggested estimators have less RMSE and bias values than their competing estimators introduced by Vasicek (1976) and Al-Omari (2014).

Caution For Software Use Of New Statistical Methods (R), Akiva J. Lorenz, Barry S. Markman, Shlomo Sawilowsky

Journal of Modern Applied Statistical Methods

Open source programming languages such as R allow statisticians to develop and rapidly disseminate advanced procedures, but sometimes at the expense of a proper vetting process. A new example is the least trimmed squares regression available in R’s lqs() in the MASS library. It produces pretty regression lines, particularly in the presence of outliers. However, this procedure lacks a defined standard error, and thus it should be avoided.

Inferences About The Skipped Correlation Coefficient: Dealing With Heteroscedasticity And Non-Normality, Rand Wilcox

Journal of Modern Applied Statistical Methods

A common goal is testing the hypothesis that Pearson’s correlation is zero and typically this is done based on Student’s T test. There are, however, several well-known concerns. First, Student’s T is sensitive to heteroscedasticity. That is, when it rejects, it is reasonable to conclude that there is dependence, but in terms of making a decision about the strength of the association, it is unsatisfactory. Second, Pearson’s correlation is not robust: it can poorly reflect the strength of the association. Even a single outlier can have a tremendous impact on the usual estimate of Pearson’s correlation, which can result in …

Resolving The Issue Of How Reliability Is Related To Statistical Power: Adhering To Mathematical Definitions, Donald W. Zimmerman, Bruno D. Zumbo

Journal of Modern Applied Statistical Methods

Reliability in classical test theory is a population-dependent concept, defined as a ratio of true-score variance and observed-score variance, where observed-score variance is a sum of true and error components. On the other hand, the power of a statistical significance test is a function of the total variance, irrespective of its decomposition into true and error components. For that reason, the reliability of a dependent variable is a function of the ratio of true-score variance and observed-score variance, whereas statistical power is a function of the sum of the same two variances. Controversies about how reliability is related to statistical …

In (Partial) Defense Of .05, Thomas R. Knapp

Journal of Modern Applied Statistical Methods

Researchers are frequently chided for choosing the .05 alpha level as the determiner of statistical significance (or non-significance). A partial justification is provided.

The Distribution Of The Inverse Square Root Transformed Error Component Of The Multiplicative Time Series Model, Bright F. Ajibade, Chinwe R. Nwosu, J. I. Mbegdu

Journal of Modern Applied Statistical Methods

The probability density function, mean and variance of the inverse square-root transformed left-truncated N(1,σ²) error component e^*_t(=1/ √e_t) of the multiplicative time series model were established. A comparison of key-statistical properties of e^*_t and e_t confirmed normality with mean 1 but with Var(e^*_t) ≈1/4Var(e_t) when σ≤0.14. Hence σ≤0.14 is the required condition for successful transformation.

Front Matter, Jmasm Editors

Journal of Modern Applied Statistical Methods

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Vol. 14, No. 2 (Full Issue), Jmasm Editors

Journal of Modern Applied Statistical Methods

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Monte Carlo Comparison Of The Parameter Estimation Methods For The Two-Parameter Gumbel Distribution, Demet Aydin, Birdal Şenoğlu

Journal of Modern Applied Statistical Methods

The performances of the seven different parameter estimation methods for the Gumbel distribution are compared with numerical simulations. Estimation methods used in this study are the method of moments (ME), the method of maximum likelihood (ML), the method of modified maximum likelihood (MML), the method of least squares (LS), the method of weighted least squares (WLS), the method of percentile (PE) and the method of probability weighted moments (PWM). Performance of the estimators is compared with respect to their biases, MSE and deficiency (Def) values via Monte-Carlo simulation. A Monte Carlo Simulation study showed that the method of PWM was …

A Robust Panel Unit Root Test In The Presence Of Cross Sectional Dependence, Nurul Sima Mohamad Shariff, Nor Aishah Hamzah

Journal of Modern Applied Statistical Methods

Problems arise in testing the stationarity of the panel in the presence of cross sectional dependence and outliers. The currently available panel unit root tests are very much affected by the presence of outliers. As such, this article introduces an alternative test which is robust to outliers and cross sectional dependence. The performance and robustness of the proposed test is discussed and comparisons are made to the existing tests via simulation studies.

Jmasm34: Two Group Program For Cohen's D, Hedges’ G, Η2, Radj2, Ω2, Ɛ2, Confidence Intervals, And Power, David A. Walker

Journal of Modern Applied Statistical Methods

The purpose of this research is to provide an application for users interested in a SPSS syntax program to determine an array of commonly-employed effect sizes and confidence intervals not readily available in SPSS functionality, such as the standardized mean difference and r-related squared indices, for a between-group design.

Accurately Instructed In The Law: Finding State Jury Instructions, Jan B. Bissett, Margi Heinen

Library Scholarly Publications

No abstract provided.

Random Ramblings — Scholarly Publishing In Retirement, Robert P. Holley

School of Information Sciences Faculty Research Publications

In the article, the author discusses whether it is easier for academics to continue publishing scholarly articles when they retire, particularly in the U.S. He cites his own experiences to discuss the issue. He also cites his retirement as faculty at Wayne State University, his membership to the American Library Association (ALA) Retired Members Round Table (RMRT), and the survey he conducted on the issue.

The Elements Of Web Communication (For Amateurs), Joshua Neds-Fox

Library Scholarly Publications

Presentation given at the Michigan Library Association Annual Conference 2015, October 28th, in Novi, Michigan.

"Writing for the web is not the same as writing for other media. But your library website content is written by your library staff, who may be neither writers nor web professionals. This session will explore everyday strategies to improve your approach to writing for the web. Your web content will be more readable, your site will be more usable, and you will be more confident in your ability to reach patrons online."

Finding “Diversity Levers” In The Core Library And Information Science Curriculum: A Social Justice Imperative, Kafi D. Kumasi, Nichole Manlove

School of Information Sciences Faculty Research Publications

In this exploratory study, the researchers examined the core library and information science (LIS) curriculum, looking for diversity levers, or conceptual access points, where transformative academic knowledge related to diversity and social justice could be meaningfully integrated. Multicultural curriculum reform, conceptualized as a social justice approach, was the guiding framework for the research design and analysis. The researchers began by establishing what constitutes the core curriculum and essential knowledge taught across thirty-six ALA-accredited master’s of library and information science degree programs. These data were then used to construct a survey that went to one hundred LIS faculty at ALA institutions …

Re-Thinking Information Literacy Instruction With The Acrl Framework, Judith Arnold, Veronica E. Bielat

Library Scholarly Publications

As academic librarians transition from a teaching and learning paradigm for Information Literacy (IL) that is reliant on the ACRL Competency Standards to the new ACRL Framework, how can librarians support and learn from each other as a community during this transition? This program will share the examples of reframing successful, standards-based IL instruction for two discipline-focused research assignments to a framework-based approach. Attendees will participate in a hands-on activity that helps them strategize how to re-think existing instruction to integrate the threshold concepts into instruction, and discuss options for assessing student learning as part of a new instruction paradigm.

Prologue, H.G.B. Anghelescu

School of Information Sciences Faculty Research Publications

No abstract provided.

Introduction, H.G.B. Anghelescu

School of Information Sciences Faculty Research Publications

No abstract provided.