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Full-Text Articles in Social and Behavioral Sciences

A Socio-Demographic Analysis Of Responses To Terrorism, Gabriel Rubin, Christopher Salvatore Oct 2019

A Socio-Demographic Analysis Of Responses To Terrorism, Gabriel Rubin, Christopher Salvatore

Christopher Salvatore

Extensive research has found that there are differences in reported levels of fear of crime and associated protective actions influenced by socio-demographic characteristics such as race and gender. Further studies, the majority of which focused on violent and property crime, have found that specific demographic characteristics influence fear of crime and protective behaviors. However, little research has focused on the influence of socio-demographic characteristics on perceptions, and protective actions in response to the threat of terrorism. Using data from the General Social Survey, this study compared individual-level protective actions and perceptions of the effectiveness of protective responses to the 9/11 …


Automated Monitoring Of Behaviour In Zebrafish After Invasive Procedures, Anthony G. Deakin, Jonathan Buckley, Hamzah S. Alzu'bi, Andrew R. Cossins, Joseph W. Spencer, Waleed Al'nuaimy, Iain S. Young, Jack S. Thomson, Lynne U. Sneddon Oct 2019

Automated Monitoring Of Behaviour In Zebrafish After Invasive Procedures, Anthony G. Deakin, Jonathan Buckley, Hamzah S. Alzu'bi, Andrew R. Cossins, Joseph W. Spencer, Waleed Al'nuaimy, Iain S. Young, Jack S. Thomson, Lynne U. Sneddon

Lynne Sneddon, PhD

Fish are used in a variety of experimental contexts often in high numbers. To maintain their welfare and ensure valid results during invasive procedures it is vital that we can detect subtle changes in behaviour that may allow us to intervene to provide pain-relief. Therefore, an automated method, the Fish Behaviour Index (FBI), was devised and used for testing the impact of laboratory procedures and efficacy of analgesic drugs in the model species, the zebrafish. Cameras with tracking software were used to visually track and quantify female zebrafish behaviour in real time after a number of laboratory procedures including fin …


Animal Research, Accountability, Openness And Public Engagement: Report From An International Expert Forum, Elisabeth H. Ormandy, Daniel M. Weary, Katarina Cvek, Mark Fisher, Kathrin Herrmann, Pru Hobson-West, Michael Mcdonald, William Milsom, Margaret Rose, Andrew Rowan, Joanne Zurlo, Marina A.G. Von Keyserlingk Sep 2019

Animal Research, Accountability, Openness And Public Engagement: Report From An International Expert Forum, Elisabeth H. Ormandy, Daniel M. Weary, Katarina Cvek, Mark Fisher, Kathrin Herrmann, Pru Hobson-West, Michael Mcdonald, William Milsom, Margaret Rose, Andrew Rowan, Joanne Zurlo, Marina A.G. Von Keyserlingk

Andrew N. Rowan, DPhil

In November 2013, a group of international experts in animal research policy (n = 11) gathered in Vancouver, Canada, to discuss openness and accountability in animal research. The primary objective was to bring together participants from various jurisdictions (United States, Sweden, Australia, New Zealand, Germany, Canada and the United Kingdom) to share practices regarding the governance of animals used in research, testing and education, with emphasis on the governance process followed, the methods of community engagement, and the balance of openness versus confidentiality. During the forum, participants came to a broad consensus on the need for: (a) evidence-based metrics to …


“Everyday” Knowledge And A New Paradigm Of Animal Research, David Fraser, Jeffrey M. Spooner, Catherine A. Schuppli Sep 2019

“Everyday” Knowledge And A New Paradigm Of Animal Research, David Fraser, Jeffrey M. Spooner, Catherine A. Schuppli

David Fraser, PhD

Commentary on Marino and Allen (2017) The Psychology of Cows


Is Animal-Based Biomedical Research Being Used In Its Original Context?, Constança Carvalho, Daniel Alves, Andrew Knight, Luís Vicente Jul 2019

Is Animal-Based Biomedical Research Being Used In Its Original Context?, Constança Carvalho, Daniel Alves, Andrew Knight, Luís Vicente

Andrew Knight, PhD

No abstract provided.


Critically Evaluating Animal Research, Andrew Knight Jul 2019

Critically Evaluating Animal Research, Andrew Knight

Andrew Knight, PhD

No abstract provided.


Recent Efforts To Elucidate The Scientific Validity Of Animal-Based Drug Tests By The Pharmaceutical Industry, Pro-Testing Lobby Groups, And Animal Welfare Organisations, Jarrod Bailey Mar 2019

Recent Efforts To Elucidate The Scientific Validity Of Animal-Based Drug Tests By The Pharmaceutical Industry, Pro-Testing Lobby Groups, And Animal Welfare Organisations, Jarrod Bailey

Jarrod Bailey, PhD

Background: Even after several decades of human drug development, there remains an absence of published, substantial, comprehensive data to validate the use of animals in preclinical drug testing, and to point to their predictive nature with regard to human safety/toxicity and efficacy. Two recent papers, authored by pharmaceutical industry scientists, added to the few substantive publications that exist. In this brief article, we discuss both these papers, as well as our own series of three papers on the subject, and also various views and criticisms of lobby groups that advocate the animal testing of new drugs.

Main text: We argue …


A Socio-Demographic Analysis Of Responses To Terrorism, Gabriel Rubin, Christopher Salvatore Mar 2019

A Socio-Demographic Analysis Of Responses To Terrorism, Gabriel Rubin, Christopher Salvatore

Gabriel Rubin

Extensive research has found that there are differences in reported levels of fear of crime and associated protective actions influenced by socio-demographic characteristics such as race and gender. Further studies, the majority of which focused on violent and property crime, have found that specific demographic characteristics influence fear of crime and protective behaviors. However, little research has focused on the influence of socio-demographic characteristics on perceptions, and protective actions in response to the threat of terrorism. Using data from the General Social Survey, this study compared individual-level protective actions and perceptions of the effectiveness of protective responses to the 9/11 …


2018 Florida Data Science For Social Good - Annual Report, Karthikeyan Umapathy, F. Dan Richard Jan 2019

2018 Florida Data Science For Social Good - Annual Report, Karthikeyan Umapathy, F. Dan Richard

Karthikeyan Umapathy

The Florida Data Science for Social Good (FL-DSSG) Program is a summer internship program that matches data science expertise with real-world problems in the public sector. During the 2018 program, the FL-DSSG supported stipends for 5 DSSG Interns, who worked 20 hours per week for 12 weeks and 3 DSSG interns, who worked 8 hours per week as well as registered for a Directed Independent Study course. Four non-profit organizations participated in the 2018 program: Baptist Health Y Healthy Living Centers (YHLCs), Family Support Services of North Florida (FSSNF), Girls Incorporated of Jacksonville (Girls Jax), and The Performers Academy (TPA). 


Inversion Copulas From Nonlinear State Space Models With An Application To Inflation Forecasting, Michael S. Smith, Worapree Ole Maneesoonthorn May 2018

Inversion Copulas From Nonlinear State Space Models With An Application To Inflation Forecasting, Michael S. Smith, Worapree Ole Maneesoonthorn

Michael Stanley Smith

We propose the construction of copulas through the inversion of nonlinear state space models. These copulas allow for new time series models that have the same serial dependence structure as a state space model, but with an arbitrary marginal distribution, and flexible density forecasts. We examine the time series properties of the copulas, outline serial dependence measures, and estimate the models using likelihood-based methods. Copulas constructed from three example state space models are considered: a stochastic volatility model with an unobserved component, a Markov switching autoregression, and a Gaussian linear unobserved component model. We show that all three inversion copulas …


An Old Tool With Enduring Value: Using Excel To Prepare Data For Analysis, Gregory A. Smith Mar 2018

An Old Tool With Enduring Value: Using Excel To Prepare Data For Analysis, Gregory A. Smith

Gregory A. Smith

Microsoft Excel was first released on the Windows platform 30 years ago and has since become widely used. Although new tools for manipulating, analyzing, and visualizing data are constantly emerging, Excel remains a potent tool—and not just because of newer features. Simple functions such as TRIM, MID, SUBSTITUTE, FIND, ROUNDDOWN, and VLOOKUP can be used to manipulate data sets in powerful ways. This workshop applies selected functions to realistic library data sets. Demonstrations include: deriving time-series categories from date and time stamps pre-coding survey comments based on keywords dealing with messy data points such as call numbers and publisher names …


Time Series Copulas For Heteroskedastic Data, Ruben Loaiza-Maya, Michael S. Smith, Worapree Maneesoonthorn Dec 2017

Time Series Copulas For Heteroskedastic Data, Ruben Loaiza-Maya, Michael S. Smith, Worapree Maneesoonthorn

Michael Stanley Smith

We propose parametric copulas that capture serial dependence in stationary heteroskedastic time series. We suggest copulas for first-order Markov series, and then extend them to higher orders and multivariate series. We derive the copula of a volatility proxy, based on which we propose new measures of volatility dependence, including co-movement and spillover in multivariate series. In general, these depend upon the marginal distributions of the series. Using exchange rate returns, we show that the resulting copula models can capture
their marginal distributions more accurately than univariate and multivariate generalized autoregressive conditional heteroskedasticity models, and produce more accurate value-at-risk forecasts.


Stacked Generalization: An Introduction To Super Learning, Ashley Naimi, Laura Balzer Dec 2017

Stacked Generalization: An Introduction To Super Learning, Ashley Naimi, Laura Balzer

Laura B. Balzer

Stacked generalization is an ensemble method that allows researchers to combine several different prediction algorithms into one. Since its introduction in the early 1990s, the method has evolved several times into a host of methods among which is the ‘‘Super Learner’’. Super Learner uses V -fold cross-validation to build the optimal weighted combination of predictions from a library of candidate algorithms. Optimality is defined by a user-specified objective function, such as minimizing mean squared error or maximizing the area under the receiver operating characteristic curve. Although relatively simple in nature, use of Super Learner by epidemiologists has been hampered by …


Econometric Modeling Of Regional Electricity Spot Prices In The Australian Market, Michael S. Smith, Thomas S. Shively Dec 2017

Econometric Modeling Of Regional Electricity Spot Prices In The Australian Market, Michael S. Smith, Thomas S. Shively

Michael Stanley Smith

Wholesale electricity markets are increasingly integrated via high voltage interconnectors, and inter-regional
trade in electricity is growing. To model this, we consider a spatial equilibrium model of price formation, where constraints on inter-regional flows result in three distinct equilibria in prices. We use this to motivate an econometric model for the distribution of observed electricity spot prices that captures many of their unique empirical characteristics. The econometric model features supply and inter-regional trade cost functions, which are estimated using Bayesian monotonic regression smoothing methodology. A copula multivariate time series model is employed to capture additional dependence --- both cross-sectional and serial --- in …


Teaching Statistics To Msw Students: Comparing Credit And Non-Credit Options, Ashley Davis, Rebecca G. Mirick Dec 2017

Teaching Statistics To Msw Students: Comparing Credit And Non-Credit Options, Ashley Davis, Rebecca G. Mirick

Rebecca Mirick

In professional disciplines like social work, students are expected to be able to understand and apply basic statistical concepts. Graduate programs differ in how they expect students to develop this ability; some require a full-credit statistics course as a prerequisite to admission, and others incorporate statistics into social work research courses. The for-credit requirement has a high financial and time cost for students. This exploratory study examined the feasibility of replacing this requirement with a brief, non-credit statistics course. MSW students (n=168) who took both types of courses were surveyed. No association was found between the type of course and …


Variational Bayes Estimation Of Discrete-Margined Copula Models With Application To Ime Series, Ruben Loaiza-Maya, Michael S. Smith Nov 2017

Variational Bayes Estimation Of Discrete-Margined Copula Models With Application To Ime Series, Ruben Loaiza-Maya, Michael S. Smith

Michael Stanley Smith

We propose a new variational Bayes estimator for high-dimensional copulas with discrete, or a combination of discrete and continuous, margins. The method is based on a variational approximation to a tractable augmented posterior, and is faster than previous likelihood-based approaches. We use it to estimate drawable vine copulas for univariate and multivariate Markov ordinal and mixed time series. These have dimension $rT$, where $T$ is the number of observations and $r$ is the number of series, and are difficult to estimate using previous methods. 
The vine pair-copulas are carefully selected to allow for heteroskedasticity, which is a feature of most ordinal …


Estimating Pay Gaps For Workers With Disabilities: Implications From Broadening Definitions And Data Sets, Kevin F. Hallock, Xin Jin, Linda Barrington Jun 2017

Estimating Pay Gaps For Workers With Disabilities: Implications From Broadening Definitions And Data Sets, Kevin F. Hallock, Xin Jin, Linda Barrington

Kevin F Hallock

Purpose: To compare pay gap estimates across 3 different national survey data sets for people with disabilities relative to those without disabilities when pay is measured as wage and salary alone versus a (total compensation) definition that includes an estimate of the value of benefits.

Method: Estimates of the cost to the employers of employee benefits at the occupational level from an employer survey data set are matched to individual-level data in each of the 3 data sets. Multiple regression techniques are applied to estimate wage and salary and total compensation gaps between full-time men with and without …


Random Regression Models Based On The Elliptically Contoured Distribution Assumptions With Applications To Longitudinal Data, Alfred A. Bartolucci, Shimin Zheng, Sejong Bae, Karan P. Singh May 2017

Random Regression Models Based On The Elliptically Contoured Distribution Assumptions With Applications To Longitudinal Data, Alfred A. Bartolucci, Shimin Zheng, Sejong Bae, Karan P. Singh

Shimin Zheng

We generalize Lyles et al.’s (2000) random regression models for longitudinal data, accounting for both undetectable values and informative drop-outs in the distribution assumptions. Our models are constructed on the generalized multivariate theory which is based on the Elliptically Contoured Distribution (ECD). The estimation of the fixed parameters in the random regression models are invariant under the normal or the ECD assumptions. For the Human Immunodeficiency Virus Epidemiology Research Study data, ECD models fit the data better than classical normal models according to the Akaike (1974) Information Criterion. We also note that both univariate distributions of the random intercept and …


Implementing Propensity Score Matching With Network Data: The Effect Of Gatt On Bilateral Trade, Luca De Benedictis, Bruno Arpino, Alessandra Mattei Mar 2017

Implementing Propensity Score Matching With Network Data: The Effect Of Gatt On Bilateral Trade, Luca De Benedictis, Bruno Arpino, Alessandra Mattei

Luca De Benedictis

Motivated by the evaluation of the causal effect of the General Agreement on Tariffs and Trade on bilateral international trade flows, we investigate the role of network structure in propensity score matching under the assumption of strong ignorability. We study the sensitivity of causal inference with respect to the presence of characteristics of the network in the set of confounders conditional on which strong ignorability is assumed to hold. We find that estimates of the average causal effect are highly sensitive to the presence of node-level network statistics in the set of confounders. Therefore, we argue that estimates may suffer …


Shining A Light On A University Special Collection With Data Visualization, Lisa Deluca, Katie M. Wissel Mar 2017

Shining A Light On A University Special Collection With Data Visualization, Lisa Deluca, Katie M. Wissel

Kathryn Wissel, MBA, MI

The Valente Collection is a 29,000 volume special collection that bridges Italian and Italian American history, literature, religion and art. It is a unique asset for the library and the university. One concept for promoting this collection and offering insight into the holdings is visualization. This goal of this poster is to help academic librarians assess which tools are most appropriate to create visualizations of current collections. Examples of different visualization types are explained including Excel Power Map. Tableau and Datawrapper.


The Finney County, Kansas Community Assessment Process: Fact Book, Debra J. Bolton Phd, Shannon L. Dick M.S. Jan 2017

The Finney County, Kansas Community Assessment Process: Fact Book, Debra J. Bolton Phd, Shannon L. Dick M.S.

Dr. Debra Bolton

This multi-lingual/multi-cultural study was called, Community Assets Processt, by the groups that “commissioned” it: Finnup Foundation, Finney County K-State Research & Extension, Western Kansas Community Foundation, Finney County United Way, Finney County Health Department, United Methodist Community Health Center (UMMAM), Center for Children and Families, Garden City Recreation Commission, and the Garden City Cultural Relations Board, because we intend for this to be an ongoing discussion. An objective, for those promoting the study, was to connect foundation, state, and federal funding with activities or services that addressed the true needs of people living in Finney County. The group was looking …


Non-Human Primates In Neuroscience Research: The Case Against Its Scientific Necessity, Jarrod Bailey, Katy Taylor Sep 2016

Non-Human Primates In Neuroscience Research: The Case Against Its Scientific Necessity, Jarrod Bailey, Katy Taylor

Jarrod Bailey, PhD

Public opposition to non-human primate (NHP) experiments is significant, yet those who defend them cite minimal harm to NHPs and substantial human benefit. Here we review these claims of benefit, specifically in neuroscience, and show that: a) there is a default assumption of their human relevance and benefit, rather than robust evidence; b) their human relevance and essential contribution and necessity are wholly overstated; c) the contribution and capacity of non-animal investigative methods are greatly understated; and d) confounding issues, such as species differences and the effects of stress and anaesthesia, are usually overlooked. This is the case in NHP …


An Assessment Of The Role Of Chimpanzees In Aids Vaccine Research, Jarrod Bailey Sep 2016

An Assessment Of The Role Of Chimpanzees In Aids Vaccine Research, Jarrod Bailey

Jarrod Bailey, PhD

Prior to Simian Immunodeficiency Virus (SIV)-infected macaques becoming the ‘model of choice’ in the 1990s, chimpanzees were widely used in AIDS vaccine research and testing. Faced with the continued failure to develop an effective human vaccine, some scientists are calling for a return to their widespread use. To assess the past and potential future contribution of chimpanzees to AIDS vaccine development, databases and published literature were systematically searched to compare the results of AIDS vaccine trials in chimpanzees with those of human clinical trials, and to determine whether the chimpanzee trials were predictive of the human response. Protective and/or therapeutic …


Institutional Animal Care And Use Committees: A Flawed Paradigm Or Work In Progress?, John P. Gluck, F. Barbara Orlans Aug 2016

Institutional Animal Care And Use Committees: A Flawed Paradigm Or Work In Progress?, John P. Gluck, F. Barbara Orlans

John P. Gluck, PhD

In his challenging article, Steneck (1997) criticized the creation of the Institutional Animal Care and Use Committee (IACUC) system established by the 1985 amendments to the Animal Welfare Act. He saw the IACUC review and approval of biomedical and behavioral research with animals as an unnecessary "reassignment" of duties from existing animal care programs to IACUC committees. He argued that the committees are unable to do the work expected of them for basically three reasons: (a) the membership lacks the expertise in matters relevant to animal research and care, (b) there exists an inherent and disabling conflict of interest, and …


Food For Thought … Mechanistic Validation, Thomas Hartung, Sebastian Hoffman, Martin Stephens Jul 2016

Food For Thought … Mechanistic Validation, Thomas Hartung, Sebastian Hoffman, Martin Stephens

Martin Stephens, PhD

Validation of new approaches in regulatory toxicology is commonly defined as the independent assessment of the reproducibility and relevance (the scientific basis and predictive capacity) of a test for a particular purpose. In large ring trials, the emphasis to date has been mainly on reproducibility and predictive capacity (comparison to the traditional test) with less attention given to the scientific or mechanistic basis. Assessing predictive capacity is difficult for novel approaches (which are based on mechanism), such as pathways of toxicity or the complex networks within the organism (systems toxicology). This is highly relevant for implementing Toxicology for the 21st …


Noncompliance With Public Health Service (Phs) Policy On Humane Care And Use Of Laboratory Animals: An Exploratory Analysis, Leah M. Gomez, Kathleen Conlee, Martin Stephens Jul 2016

Noncompliance With Public Health Service (Phs) Policy On Humane Care And Use Of Laboratory Animals: An Exploratory Analysis, Leah M. Gomez, Kathleen Conlee, Martin Stephens

Martin Stephens, PhD

The National Institutes of Health (NIH) is a major biomedical research-funding body in the United States. Approximately 40% of NIH-funded research involves experimentation on nonhuman animals (Monastersky, 2008). Institutions that conduct animal research with NIH funds must adhere to the Public Health Service (PHS) care and use standards of the Office of Laboratory Animal Welfare (OLAW, 2002a). Institutions deviating significantly from the PHS’s animal care and use standards must report these incidents to the NIH’s OLAW. This study is an exploratory analysis of all the significant deviations reported by animal-research facilities to OLAW during a 3-month period. The study identifies …


Addressing Distress And Pain In Animal Research: The Veterinary, Research, Societal, Regulatory And Ethical Contexts For Moving Forward, Kathleen Conlee, Martin Stephens, Andrew N. Rowan Jul 2016

Addressing Distress And Pain In Animal Research: The Veterinary, Research, Societal, Regulatory And Ethical Contexts For Moving Forward, Kathleen Conlee, Martin Stephens, Andrew N. Rowan

Martin Stephens, PhD

While most people recognize that biomedical scientists are searching for knowledge that will improve the health of humans and animals, the image of someone deliberately causing harm to an animal in order to produce data that may lead to some future benefit has always prompted an uncomfortable reaction outside the laboratory. However, proponents of animal research have usually justified the practice by reference to greater benefits (new knowledge and medical treatments) over lesser costs (in animal suffering and death). Given that one of the costs of animal research is the suffering experienced by the animals, the goal of eliminating distress …


The Usefulness Of Systematic Reviews Of Animal Experiments For The Design Of Preclinical And Clinical Studies, Rob B.M. De Vries, Kimberley E. Weaver, Marc T. Avey, Martin Stephens, Emily S. Sena, Marlies Leenaars Jul 2016

The Usefulness Of Systematic Reviews Of Animal Experiments For The Design Of Preclinical And Clinical Studies, Rob B.M. De Vries, Kimberley E. Weaver, Marc T. Avey, Martin Stephens, Emily S. Sena, Marlies Leenaars

Martin Stephens, PhD

The question of how animal studies should be designed, conducted, and analyzed remains underexposed in societal debates on animal experimentation. This is not only a scientific but also amoral question. After all, if animal experiments are not appropriately designed, conducted, and analyzed, the results produced are unlikely to be reliable and the animals have in effect been wasted. In this article, we focus on one particular method to address this moral question, namely systematic reviews of previously performed animal experiments. We discuss how the design, conduct, and analysis of future (animal and human) experiments may be optimized through such systematic …


The Minimization Of Research Animal Distress And Pain: Conclusions And Recommendations, Kathleen Conlee, Martin Stephens, Andrew N. Rowan Jul 2016

The Minimization Of Research Animal Distress And Pain: Conclusions And Recommendations, Kathleen Conlee, Martin Stephens, Andrew N. Rowan

Martin Stephens, PhD

While the attention given to preventing, assessing, and alleviating pain in research animals has increased noticeably in recent decades, much remains to be done both in terms of implementing best practices and conducting studies to answer outstanding questions. In contrast, the attention to distress (particularly non-pain induced distress) has shown no comparable increase. There are many reasons for this discrepancy, including the conceptual untidiness of the distress concept, the paucity of pharmacological treatments for distress, and perceived lack of regulatory emphasis on distress. These are challenges that need to be addressed and overcome. This book is intended to help meet …


Systematic Reviews Of Animal Experiments Demonstrate Poor Human Clinical And Toxicological Utility, Andrew Knight Apr 2016

Systematic Reviews Of Animal Experiments Demonstrate Poor Human Clinical And Toxicological Utility, Andrew Knight

Andrew Knight, Ph.D.

The assumption that animal models are reasonably predictive of human outcomes provides the basis for their widespread use in toxicity testing and in biomedical research aimed at developing cures for human diseases. To investigate the validity of this assumption, the comprehensive Scopus biomedical bibliographic databases were searched for published systematic reviews of the human clinical or toxicological utility of animal experiments. In 20 reviews in which clinical utility was examined, the authors concluded that animal models were either significantly useful in contributing to the development of clinical interventions, or were substantially consistent with clinical outcomes, in only two cases, one …