Social and Behavioral Sciences Commons^™

A Review Of Sample Size And Design Efficacy In Crossover Design In Peer-Reviewed Psychology Research, Kyle Moxley

Wayne State University Dissertations

A REVIEW OF SAMPLE SIZE AND DESIGN EFFICACY IN CROSSOVER DESIGN IN PEER-REVIEWED PSYCHOLOGY RESEARCHby KYLE C. MOXLEY November 2021 Advisor: Dr. Shlomo S. Sawilowsky Major: Education Evaluation and Research Degree: Doctor of Philosophy The present study seeks to investigate the efficacy of crossover research designs, and the application of crossover designs, in the field of behavioral sciences. Under ideal conditions, crossover designs are assumed to be more efficacious than parallel studies in that participants are given both treatments. However, the presence of carryover effects from treatments may influence outcomes (Jones & Kenward, 2014). To prevent carryover effects, researchers frequently …

Data Driven Approach To Characterize And Forecast The Impact Of Freeway Work Zones On Mobility Using Probe Vehicle Data, Mohsen Kamyab

Wayne State University Dissertations

The presence of work zones on freeways causes traffic congestion and creates hazardous conditions for commuters and construction workers. Traffic congestion resulting from work zones causes negative impacts on traffic mobility (delay), the environment (vehicle emissions), and safety when stopped or slowed vehicles become vulnerable to rear-end collisions. Addressing these concerns, a data-driven approach was utilized to develop methodologies to measure, predict, and characterize the impact work zones have on Michigan interstates. This study used probe vehicle data, collected from GPS devices in vehicles, as the primary source for mobility data. This data was used to fulfill three objectives: develop …

Essays On Oil Price Volatility And Irreversible Investment, Daniel Joseph Pastor

Wayne State University Dissertations

In chapter 1, we provide an extensive and systematic evaluation of the relative

forecasting performance of several models for the volatility of daily spot

crude oil prices. Empirical research over the past decades has uncovered

significant gains in forecasting performance of Markov Switching GARCH

models over GARCH models for the volatility of financial assets and crude

oil futures. We find that, for spot oil price returns, non-switching models

perform better in the short run, whereas switching models tend to do better

at longer horizons.

In chapter 2, I investigate the impact of volatility on firms' irreversible investment decisions using real …

Distribution-Free Trends Test To Determine The Construct Validity Of An Anti-Social Criminal Attitudes Scale, Holly Ann Child

Wayne State University Dissertations

The Sawilosky's I-Test was developed to as an alternative method to evaluate construct validity, more specifically, in regards to the Multitrait-Multimethod Matrix designed by Campbell and Fiske (1959). Typically, researchers use a method by Campbell and Fiske that involves a subjective “physical” look at the matrix to determine validity. Sawilowsky’s I-Test offers a statistical approach that incorporates the current practice but removes the subjectivity involved in this process.

There are only two existing studies that look at the I-Test, Sawilowsky in 2002 and Cuzzocrea in 2007. Both studies found that although the I-Test is not a perfect statistic, it provides …

Novel Machine Learning Methods For Modeling Time-To-Event Data, Bhanukiran Vinzamuri

Wayne State University Dissertations

Predicting time-to-event from longitudinal data where different events occur at different time points is an extremely important problem in several domains such as healthcare, economics, social networks and seismology, to name a few. A unique challenge in this problem involves building predictive models from right censored data (also called as survival data). This is a phenomenon where instances whose event of interest are not yet observed within a given observation time window and are considered to be right censored. Effective models for predicting time-to-event labels from such right censored data with good accuracy can have a significant impact in these …

A Prediction Modeling Framework For Noisy Welding Quality Data, Junheung Park

Wayne State University Dissertations

Numerous and various research projects have been conducted to utilize historical manufacturing process data in product design. These manufacturing process data often contain data inconsistencies, and it causes challenges in extracting useful information from the data. In resistance spot welding (RSW), data inconsistency is a well-known issue. In general, such inconsistent data are treated as noise data and removed from the original dataset before conducting analyses or constructing prediction models. This may not be desirable for every design and manufacturing applications since every data can contain important information to further explain the process. In this research, we propose a prediction …

Robust Regression Methods For Massively Decayed Intelligence Data, Akiva Joachim Lorenz

Wayne State University Dissertations

Homeland Security, sponsored by governmental initiatives, has become a vibrant academic research field. However, most efforts were placed with the recognition of threats (e.g. theory) and response options. Less effort was placed in the analysis of the collected data through statistical modeling. In a field that collects more than 20 terabyte of information per minute though diverse overt and covert means and indexes it for future research, understanding how different statistical models behave when it comes to massively decayed data is of vital importance.

Using Monte Carlo methods, three regression techniques (ordinary least squares, least-trimmed, and maximum likelihood) were tested …

Networks Of Users And Powers: Blackboard Software Roadmap As Cultural Practice, Diana Gellci

Wayne State University Dissertations

With the rapid growth of eLearning applications - the software providing for learning through the Internet - it has become commonplace to describe those technologies as both simple tools and user-friendly. These two vague yet suggestive terms make the operating of the technology appear as social value and any related issues as a user's problem. Interested neo-liberal groups take a step further when considering eLearning technologies as the solution for the problems faced in the field. STS studies recognize that technology fetishism is strategically employed to justify the latest developments of capitalism as technological and logical.

This doctoral study examines …

Essays On The Effects Of Oil Price Shocks On The U.S. Stock Returns, Zeina Nashaat Alsalman

Wayne State University Dissertations

This research investigates the effect of changes in oil prices and oil price volatility on the U.S. stock returns. The first essay tests whether the sign and the size of oil price shocks matter for the U.S. stock returns. The results suggest a linear model provides a good approximation to the response of real stock returns to real oil price innovations. However, this is not the case when the model is specified in terms of the nominal price of crude oil.Using a modified structural VAR to accommodate GARCH-in-Mean errors, the second essay studies the direct effects of oil price uncertainty …

Combinatorial Auction-Based Virtual Machine Provisioning And Allocation In Clouds, Sharrukh Zaman

Wayne State University Dissertations

Current cloud providers use fixed-price based mechanisms to allocate Virtual Machine (VM) instances to their users. But economic theory states that when there are large amount of resources to be allocated to large number of users, auctions are the most efficient allocation mechanisms. Auctions achieve efficiency of allocation and also maximize the providers' revenue, which a fixed-price based mechanism is unable to do. We argue that combinatorial auctions are best suited for the problem of VM provisioning and allocation in clouds, since they provide the users with the most flexible way to express their requirements. In combinatorial auctions, users bid …

The Dependent Samples T And Wilcoxon Sign Rank Maximum Test, Saverpierre Maggio

Wayne State University Dissertations

A maximum test using the parametric dependent samples t-test and the non-parametric Wilcoxon sign rank test was created using a FORTRAN program and various subroutines of the International Mathematical and Statistical Libraries (IMSL, 1980). Two tailed critical values were derived from a mixed normal distribution. Critical values obtained were at the 0.05, 0.025, 0.01 and 0.005 alpha levels via sample sizes (n) 8 through 30, 45, 60, 90 and 120. Critical values were compared to values obtained through the application of the Bonferroni correction method. It was concluded that the Bonferroni is an unnecessary method. Findings of the study are …

A Framework For Personalized Dynamic Cross-Selling In E-Commerce Retailing, Arun K. Timalsina

Wayne State University Dissertations

Cross-selling and product bundling are prevalent strategies in the retail sector. Instead of static bundling offers, i.e. giving the same offer to everyone, personalized dynamic cross-selling generates targeted bundle offers and can help maximize revenues and profits. In resolving the two basic problems of dynamic cross-selling, which involves selecting the right complementary products and optimizing the discount, the issue of computational complexity becomes central as the customer base and length of the product list grows. Traditional recommender systems are built upon simple collaborative filtering techniques, which exploit the informational cues gained from users in the form of product ratings and …

Making Memory: Techne, Technology, And The Refashioning Of Contemporary Memory, Kimberly Lacey

Wayne State University Dissertations

My dissertation answers two questions: Does the tension between interactive technologies and rhetoric re-shape the nature and relevance of the canon of memory? Do interactive technologies affect the ways we remember and persuade? I argue that my interpretation of techne suggests possibilities for the creation and production of new types of memory in combination with digital media. To interrogate this connection, I suggest three interpretations of the Greek concept, techne: as a process that is inherently productive; as a force that renegotiates contemporary sources of social power; and as a skill that balances expert knowledge with instrumentality. I explore …

A Cultural Analysis Of Information Technology Offshore Outsourcing: An Exercise In Multi-Sited Ethnography Of Virtual Work, Tara Eaton

Wayne State University Dissertations

This study is an exploration of how ethnography and anthropological analysis can provide new understanding of transnational, multi-sited research phenomena. Research focused on the work activities of one American client organization and its Indian IT service provider situated in the global virtual field of Information Technology (IT) offshore outsourcing. The Principal Investigator adapted and applied an ethnographic approach for her fieldwork in order to understand the norms, beliefs, and values about work, as well as the relationship between cultural differences and virtual communication. Dissertation findings offer new insight for anthropological discussions of globalization as well as suggest further development of …

Approximate Vs. Monte Carlo Critical Values For The Winsorized T-Test, Michael Lance

Wayne State University Dissertations

Historically, it has been accepted practice for critical values for the Winsorized t test for independent samples to be based on adjusted degrees of freedom depending on the number of total non-Winsorized (approximate) values. Recently, a new such table of Winsorized critical values has been developed via approximate randomization by Monte Carlo simulation.

Based on eight common data distributions estimated from Psychology and Education along with the normal and five Mathematical distributions, these two tables of values were compared with respect to robustness to types I and II errors through Monte Carlo simulations for one and 10% Winsorized values per …

A Bioarchaeological Study Of A Prehistoric Michigan Population: Fraaer-Tyra Site (20sa9), Allison June Muhammad

Wayne State University Dissertations

ABSTRACT

The Saginaw Valley Region has been the focus of Michigan archaeology for many decades. The Late Woodland period of the Saginaw Valley has been characterized as an area that prehistoric people abandoned as a permanent resident, but exploited seasonally during times of scarcity. Furthermore, the valley's resources were exploited by a diverse group of prehistoric peoples, both native to Michigan and those Mississippian `intruders' (Halsey 1976; Holman and Brashler 1999; Norder et al. 2003; Stothers 1999). Though previous studies of the Frazer-Tyra site (20SA9) have included ceramic and lithic analysis (Andrews 1995; Halsey 1976) and a study of mortuary …