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Design of Experiments and Sample Surveys Commons

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41 - Data Exploration And Analysis For The Hemingway Measure Of Adult Connectedness, Gildardo Bautista-Maya, Ping Ye, Diane Cook 2018 University of North Georgia

41 - Data Exploration And Analysis For The Hemingway Measure Of Adult Connectedness, Gildardo Bautista-Maya, Ping Ye, Diane Cook

Georgia Undergraduate Research Conference (GURC)

Abstract:

We analyze the dataset collected from students participating in the Boy With A Ball (BWAB) program, a faith-based community outreach group, through the Hemingway Measure of Adult Connectedness©, a questionnaire measuring the social connectedness of adolescents. First, we approach the data in the conventional method provided by the Hemingway website. We then identify which questions are strong determiners in deciding whether a student has completed the BWAB program or not. With the goal of utilizing the logistic regression, we reduce the set of questions to those only identified as significant in other methods. These methods include linear regression, decision ...


Combining Survey And Non-Survey Data For Improved Sub-Area Prediction Using A Multi-Level Model, Jae Kwang Kim, Zhonglei Wang, Zhengyuan Zhu, Nathan B. Cruze 2018 Iowa State University

Combining Survey And Non-Survey Data For Improved Sub-Area Prediction Using A Multi-Level Model, Jae Kwang Kim, Zhonglei Wang, Zhengyuan Zhu, Nathan B. Cruze

Statistics Publications

Combining information from different sources is an important practical problem in survey sampling. Using a hierarchical area-level model, we establish a framework to integrate auxiliary information to improve state-level area estimates. The best predictors are obtained by the conditional expectations of latent variables given observations, and an estimate of the mean squared prediction error is discussed. Sponsored by the National Agricultural Statistics Service of the US Department of Agriculture, the proposed model is applied to the planted crop acreage estimation problem by combining information from three sources, including the June Area Survey obtained by a probability-based sampling of lands, administrative ...


Initial Evidence Of Construct Validity Of Data From A Self-Assessment Instrument Of Technological Pedagogical Content Knowledge (Tpack) In 2-Year Public College Faculty In Texas, Kristin C. Scott 2018 University of Texas at Tyler

Initial Evidence Of Construct Validity Of Data From A Self-Assessment Instrument Of Technological Pedagogical Content Knowledge (Tpack) In 2-Year Public College Faculty In Texas, Kristin C. Scott

Human Resource Development Theses and Dissertations

Technological pedagogical content knowledge (TPACK) has been studied in K-12 faculty in the U.S. and around the world using survey methodology. Very few studies of TPACK in post-secondary faculty have been conducted and no peer-reviewed studies in U.S. post-secondary faculty have been published to date. The present study is the first reliability and validity of data from a TPACK survey to be conducted with a large sample of U.S. post-secondary faculty. The professorate of 2-year public college faculty in Texas will help their institutions meet the goals of the state’s higher education strategic plan, 60x30TX. In ...


The Psychology Of Baseball: How The Mental Game Impacts The Physical Game, Kiera Dalmass 2018 University of Connecticut

The Psychology Of Baseball: How The Mental Game Impacts The Physical Game, Kiera Dalmass

Honors Scholar Theses

The purpose of this study was to find whether or not sports psychology can be effective. Baseball was chosen as the sport for the study because baseball can be analyzed for nearly every single factor of the game, with the exception of the mental readiness or state of the player when he steps onto the field. It therefore provides the optimal atmosphere to provide clinical and statistical support to the field of sports psychology. Despite the various, numerous pieces of literature that praise and show support for sports psychology, there hasn’t been clinical research to support it. Additionally, multiple ...


Learning And Control Using Gaussian Processes, Achin Jain, Truong X Nghiem, Manfred Morari, Rahul Mangharam 2018 University of Pennsylvania

Learning And Control Using Gaussian Processes, Achin Jain, Truong X Nghiem, Manfred Morari, Rahul Mangharam

Real-Time and Embedded Systems Lab (mLAB)

Building physics-based models of complex physical systems like buildings and chemical plants is extremely cost and time prohibitive for applications such as real-time optimal control, production planning and supply chain logistics. Machine learning algorithms can reduce this cost and time complexity, and are, consequently, more scalable for large-scale physical systems. However, there are many practical challenges that must be addressed before employing machine learning for closed-loop control. This paper proposes the use of Gaussian Processes (GP) for learning control-oriented models: (1) We develop methods for the optimal experiment design (OED) of functional tests to learn models of a physical system ...


Sampling Techniques For Big Data Analysis In Finite Population Inference, Jae Kwang Kim, Zhonglei Wang 2018 Iowa State University

Sampling Techniques For Big Data Analysis In Finite Population Inference, Jae Kwang Kim, Zhonglei Wang

Statistics Preprints

In analyzing big data for finite population inference, it is critical to adjust for the selection bias in the big data. In this paper, we propose two methods of reducing the selection bias associated with the big data sample. The first method uses a version of inverse sampling by incorporating auxiliary infor- mation from external sources, and the second one borrows the idea of data integration by combining the big data sample with an independent proba- bility sample. Two simulation studies show that the proposed methods are unbiased and have better coverage rates than their alternatives. In addition, the proposed ...


Predictive Mean Matching Imputation In Survey Sampling, Shu Yang, Jae Kwang Kim 2018 Iowa State University

Predictive Mean Matching Imputation In Survey Sampling, Shu Yang, Jae Kwang Kim

Statistics Preprints

Predictive mean matching imputation is popular for handling item nonresponse in survey sampling. In this article, we study the asymptotic properties of the predictive mean matching estimator of the pop- ulation mean. For variance estimation, the conventional bootstrap inference for matching estimators with fixed matches has been shown to be invalid due to the nonsmoothness nature of the matching estimator. We propose asymptotically valid replication variance estimation. The key strategy is to construct repli- cates of the estimator directly based on linear terms, instead of individual records of variables. Extension to nearest neighbor imputation is also discussed. A simulation study ...


A Random Effect Model Approach To Survey Data Integration, Eunseon Gwak, Jae Kwang Kim, Youngwon Kim 2018 Sookmyung Women’s University

A Random Effect Model Approach To Survey Data Integration, Eunseon Gwak, Jae Kwang Kim, Youngwon Kim

Statistics Publications

Combining information from several surveys, or survey integration, is an important practical problem in survey sampling. When the samples are selected from similar but different populations, random effect models can be used to describe the sample observations and to borrow strength from multiple surveys. In this paper, we consider a prediction approach to survey integration assuming random effect models. The sampling designs are allowed to be informative. The model parameters are estimated using a version of EM algorithm accounting for the sampling design. The mean squared error estimation is also discussed. Two limited simulation studies are used to investigate the ...


Model-Based Predictive Analytics For Additive And Smart Manufacturing, Zhuo Yang 2018 University of Massachusetts Amherst

Model-Based Predictive Analytics For Additive And Smart Manufacturing, Zhuo Yang

Doctoral Dissertations

Qualification and certification for additive and smart manufacturing systems can be uncertain and very costly. Using available historical data can mitigate some costs of producing and testing sample parts. However, use of such data lacks the flexibility to represent specific new problems which decreases predictive accuracy and efficiency. To address these compelling needs, in this dissertation modeling techniques are introduced that can proactively estimate results expected from additive and smart manufacturing processes swiftly and with practical levels of accuracy and reliability. More specifically, this research addresses the current challenges and limitations posed by use of available data and the high ...


Developing, Piloting, And Factor Analysis Of A Brief Survey Tool For Evaluating Food And Composting Behaviors: The Short Composting Survey, Jennie Norton 2018 Central Washington University

Developing, Piloting, And Factor Analysis Of A Brief Survey Tool For Evaluating Food And Composting Behaviors: The Short Composting Survey, Jennie Norton

All Master's Theses

Composting on a university campus may take a variety of forms. Sustainable approaches to waste management can be taught and supported through educational programs, peer-to-peer behavior modeling, and composting program interventions. Although peer-reviewed research on composting interventions is somewhat lacking, student interest in the topic is demonstrated by a range of exploratory senior projects and pilot interventions conducted at colleges across the United States and abroad.

The purpose of this study was twofold: conduct an educational compost intervention pilot study and develop a survey tool to measure participant attitudes surrounding food behaviors and composting. The Compost Project pilot study focused ...


Netnographic Slog: Creative Elicitation Strategies To Encourage Participation In An Online Community Of Practice For Early Education And Care, Ruth Wallace 2018 Edith Cowan University

Netnographic Slog: Creative Elicitation Strategies To Encourage Participation In An Online Community Of Practice For Early Education And Care, Ruth Wallace

ECU Publications Post 2013

Active, participatory netnography, in contrast to passive netnography, is essential if researchers are to gain rich rewards from the rigorous collection of qualitative data. However, researchers should be aware of the ‘netnographic slog’; “the blood, sweat and tears” associated with eliciting quality data and encouraging active participation in online communities.

This article examines the – Supporting Nutrition for Australian Childcare (SNAC) – online community of practice, established to support healthy eating practices in early childhood education and care settings. To ensure research rigour, Kozinets’ netnographic steps were employed. Garnering member participation in this online community was a slog; most community content was ...


A Data Set Of Bloodstain Patterns For Teaching And Research In Bloodstain Pattern Analysis: Impact Beating Spatters, Daniel Attinger, Yu Liu, Tyler Bybee, Kris De Brabanter 2018 Iowa State University

A Data Set Of Bloodstain Patterns For Teaching And Research In Bloodstain Pattern Analysis: Impact Beating Spatters, Daniel Attinger, Yu Liu, Tyler Bybee, Kris De Brabanter

Mechanical Engineering Publications

This is a data set of 61 blood spatter patterns scanned at high resolution, generated by controlled impact events corresponding to forensic beating situations. The spatter patterns were realized with two test rigs, to vary the geometry and speed of the impact of a solid object on a blood source – a pool of blood. The resulting atomized blood droplets travelled a set distance towards a poster board sheet, creating a blood spatter. Fresh swine blood was used; its hematocrit and temperature were measured. Main parameters of the study were the impact velocity and the distance between blood source and target ...


Does The Stress Inherent To Laboratory Life And Experimentation On Animals Adversely Affect Research Data?, Jarrod Bailey 2017 Cruelty Free International

Does The Stress Inherent To Laboratory Life And Experimentation On Animals Adversely Affect Research Data?, Jarrod Bailey

Validation of Animal Experimentation

Stress and distress in laboratory animals is often inherent and unavoidable. The effect of these factors on the reliability and relevance of experimental data is not sufficiently appreciated. Greater awareness, debate and discussion of this issue are urgently required.


Sampling Guidelines For Oral Fluid-Based Surveys Of Group-Housed Animals, Marisa L. Rotolo, Yaxuan Sun, Chong Wang, Luis Gimenez-Lirola, David H. Baum, Phillip C. Gauger, Karen M. Harmon, Marlin Hoogland, Rodger Main, Jeffrey J. Zimmerman 2017 Iowa State University

Sampling Guidelines For Oral Fluid-Based Surveys Of Group-Housed Animals, Marisa L. Rotolo, Yaxuan Sun, Chong Wang, Luis Gimenez-Lirola, David H. Baum, Phillip C. Gauger, Karen M. Harmon, Marlin Hoogland, Rodger Main, Jeffrey J. Zimmerman

Veterinary Diagnostic and Production Animal Medicine Publications

Formulas and software for calculating sample size for surveys based on individual animal samples are readily available. However, sample size formulas are not available for oral fluids and other aggregate samples that are increasingly used in production settings. Therefore, the objective of this study was to develop sampling guidelines for oral fluid-based porcine reproductive and respiratory syndrome virus (PRRSV) surveys in commercial swine farms. Oral fluid samples were collected in 9 weekly samplings from all pens in 3 barns on one production site beginning shortly after placement of weaned pigs. Samples (n = 972) were tested by real-time reverse-transcription PCR (RT-rtPCR ...


Selection Of Breeding Stock By U.S. Meat Goat Producers, Narayan Nyaupane, Jeffrey Gillespie, Kenneth McMillin, Robert Harrison, Isaac Stienei 2017 Samuel Roberts Noble Foundation

Selection Of Breeding Stock By U.S. Meat Goat Producers, Narayan Nyaupane, Jeffrey Gillespie, Kenneth Mcmillin, Robert Harrison, Isaac Stienei

Community & Leadership Development Faculty Publications

Using nationwide survey data, we investigate U.S. meat goat producer preferences and willingness to pay for meat goat breeding stock attributes. Discrete choice experiments were employed, and mixed logit and latent class models were used for analysis. Results showed that producers preferred animals that were highly masculine/feminine, had good structure and soundness, and were of the Boer breed, whereas they preferred fewer animals that were older, of Kiko and Spanish breeds, and priced higher. Significant preference heterogeneity was found among the respondents. Larger-scale producers had greater preference for high masculinity/femininity, good structure and soundness, and Boer bucks.


A Cross-Sectional Exploration Of Household Financial Reactions And Homebuyer Awareness Of Registered Sex Offenders In A Rural, Suburban, And Urban County., John Charles Navarro 2017 University of Louisville

A Cross-Sectional Exploration Of Household Financial Reactions And Homebuyer Awareness Of Registered Sex Offenders In A Rural, Suburban, And Urban County., John Charles Navarro

Electronic Theses and Dissertations

As stigmatized persons, registered sex offenders betoken instability in communities. Depressed home sale values are associated with the presence of registered sex offenders even though the public is largely unaware of the presence of registered sex offenders. Using a spatial multilevel approach, the current study examines the role registered sex offenders influence sale values of homes sold in 2015 for three U.S. counties (rural, suburban, and urban) located in Illinois and Kentucky within the social disorganization framework. Homebuyers were surveyed to examine whether awareness of local registered sex offenders and the homebuyer’s community type operate as moderators between ...


Letter To The Editor, Jarrod Bailey 2017 Cruelty Free International

Letter To The Editor, Jarrod Bailey

Validation of Animal Experimentation

It seems clear that heeding the opinions and recommendations of experienced neuroscientists such as Professor Beuter, the well-argued probable opinion of the time-travelling Parkinson, and Grimm and Eggel’s demands for high animal welfare and honest and realistic harm–benefit analyses, will be of paramount importance for the advancement and evolution of experiments involving NHPs, particularly in neuroscience. This will benefit animals and humans alike.


The Importance Of Inhaler Technique In Measuring And Calculating Inhaler Adherence, And Its Clinical Outcomes, Imran Sulaiman 2017 Royal College of Surgeons in Ireland

The Importance Of Inhaler Technique In Measuring And Calculating Inhaler Adherence, And Its Clinical Outcomes, Imran Sulaiman

PhD theses

Depending on the population studied, cross-sectional observational studies suggest that between 14%-90% of patients do not use their pressurized metered dose inhaler correctly, while 50-60% misuse a dry powder inhaler. This means that unless incorrect technique is acounted for a significant underestimation of how much medication the person actually obtained may be made.

The aim of this thesis was to objectively determine the frequency and importance of inhaler technique errors and to combine these with inhaler use to provide an acurate method of calculating adherence. I then investigated different patterns of inhaler use, determinants of inhaler use and the ...


Semiparametric Fractional Imputation Using Empirical Likelihood In Survey Sampling, Sixia Chen, Jae Kwang Kim 2017 University of Oklahoma

Semiparametric Fractional Imputation Using Empirical Likelihood In Survey Sampling, Sixia Chen, Jae Kwang Kim

Statistics Publications

The empirical likelihood method is a powerful tool for incorporating moment conditions in statistical inference. We propose a novel application of the empirical likelihood for handling item nonresponse in survey sampling. The proposed method takes the form of fractional imputation (Kim, 2011) but it does not require parametric model assumptions. Instead, only the first moment condition based on a regression model is assumed and the empirical likelihood method is applied to the observed residuals to get the fractional weights. The resulting semiparametric fractional imputation provides -consistent estimates for various parameters. Variance estimation is implemented using a jackknife method. Two limited ...


Digital Forensics Tool Selection With Multi-Armed Bandit Problem, Umit Karabiyik, Tugba Karabiyik 2017 Sam Houston State University

Digital Forensics Tool Selection With Multi-Armed Bandit Problem, Umit Karabiyik, Tugba Karabiyik

Annual ADFSL Conference on Digital Forensics, Security and Law

Digital forensics investigation is a long and tedious process for an investigator in general. There are many tools that investigators must consider, both proprietary and open source. Forensics investigators must choose the best tool available on the market for their cases to make sure they do not overlook any evidence resides in suspect device within a reasonable time frame. This is however hard decision to make, since learning and testing all available tools make their job only harder. In this project, we define the digital forensics tool selection for a specific investigative task as a multi-armed bandit problem assuming that ...


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