Effect Of Fdi Inflows On Employment Generation In Selected Ecowas Countries: Heterogeneous Panel Analysis,
2022
Central Bank of Nigeria
Effect Of Fdi Inflows On Employment Generation In Selected Ecowas Countries: Heterogeneous Panel Analysis, Timothy A. Aderemi, Olawunmi Omitogun, Bukonla G. Osisanwo
CBN Journal of Applied Statistics (JAS)
The aim of this study is to examine the effect of FDI on employment in ECOWAS sub region between 1990 and 2019. The study utilizes a panel autoregressive distributed lag model to analyse the short run and long run relationship between FDI and employment across ECOWAS sub region. In the short run, the impact of FDI on employment is negative and statistically not significant. Meanwhile, in the long run FDI has a positive and statistically significant impact on employment rate. This implies that FDI has the capacity to generate employment in countries in ECOWAS sub region. Therefore, this study recommends …
Impact Of Covid-19 Pandemic On The Nigeria Stock Market: A Sectoral Stock Prices Analysis,
2022
Central Bank of Nigeria
Impact Of Covid-19 Pandemic On The Nigeria Stock Market: A Sectoral Stock Prices Analysis, Peter A. Adekunle, Yakubu A. Bello, Udochukwu G. Nwachukwu
CBN Journal of Applied Statistics (JAS)
This study examines the impact of the COVID-19 pandemic on sectoral stock prices in Nigeria stock market using daily data covering from February 28, 2020 to June 26, 2020. Applying the autoregressive distributed lag (ARDL) bounds test, the study finds that COVID-19 pandemic had adverse impact on the stock market indices in the short run. Furthermore, the study documents negative response of sectoral stock prices to the pandemic while the stock prices of the banking sub-sector are the worst hit. Compared to the consumer goods, and industrial subsector indices, the speed of adjustment to long run equilibrium is faster for …
Assessing The Influence Of Health Policy And Population Mobility On Covid-19 Spread In Arkansas,
2022
University of Arkansas, Fayetteville
Assessing The Influence Of Health Policy And Population Mobility On Covid-19 Spread In Arkansas, Tayden Barretto
Industrial Engineering Undergraduate Honors Theses
The outbreak of COVID-19 has created a major crisis across the world since its start in 2019, and its influence on every realm of society is undeniable. Globally, more than 500 million cases have been recorded since March 2020, with almost 6 million deaths. In the wake of this crisis, many governments and health organizations have taken steps and precautions to mitigate its spread. These steps involve public mandates of information, reducing frequency of personal contact, and use of masks to minimize the risk of transmission. Current access to mobility data released from Google detailing population movements has provided a …
Attempting To Predict The Unpredictable: March Madness,
2022
University of Nebraska at Omaha
Attempting To Predict The Unpredictable: March Madness, Coleton Kanzmeier
Theses/Capstones/Creative Projects
Each year, millions upon millions of individuals fill out at least one if not hundreds of March Madness brackets. People test their luck every year, whether for fun, with friends or family, or to even win some money. Some people rely on their basketball knowledge whereas others know it is called March Madness for a reason and take a shot in the dark. Others have even tried using statistics to give them an edge. I intend to follow a similar approach, using statistics to my advantage. The end goal is to predict this year’s, 2022, March Madness bracket. To achieve …
Advancements In Gaussian Process Learning For Uncertainty Quantification,
2022
Clemson University
Advancements In Gaussian Process Learning For Uncertainty Quantification, John C. Nicholson
All Dissertations
Gaussian processes are among the most useful tools in modeling continuous processes in machine learning and statistics. The research presented provides advancements in uncertainty quantification using Gaussian processes from two distinct perspectives. The first provides a more fundamental means of constructing Gaussian processes which take on arbitrary linear operator constraints in much more general framework than its predecessors, and the other from the perspective of calibration of state-aware parameters in computer models. If the value of a process is known at a finite collection of points, one may use Gaussian processes to construct a surface which interpolates these values to …
Aberrant Responding With Underlying Dominance And Unfolding Response Processes: Examining Model Fit And Performance Of Person-Fit Statistics,
2022
University of Arkansas, Fayetteville
Aberrant Responding With Underlying Dominance And Unfolding Response Processes: Examining Model Fit And Performance Of Person-Fit Statistics, Jennifer A. Reimers
Graduate Theses and Dissertations
Researchers have recognized that respondents may not answer items in a way that accurately reflects their attitude or trait level being measured. The resulting response data that deviates from what would be expected has been shown to have significant effects on the psychometric properties of a scale and analytical results. However, many studies that have investigated the detection of aberrant data and its effects have done so using dominance item response theory (IRT) models. It is unknown whether the impacts of aberrant data and the methodology used to identify aberrant responding when using dominance IRT models apply similarly when scales …
A Statistical Study Into The Relationship Between The Student Age And Their Academic Performance,
2022
Harrisburg University of Science and Technology
A Statistical Study Into The Relationship Between The Student Age And Their Academic Performance, Umangkumar Patel, Akeisha Belgrave
Harrisburg University Research Symposium: Highlighting Research, Innovation, & Creativity
This project will conduct a research in order to find out the relationship between the age of a student and their academic performance. This project will survey at least 100 students. (Class Project)
Relationship Between Higher Education And Health Insurance Coverage And Healthcare
Utilization For Black Or African American Individuals,
2022
Bethel University
Relationship Between Higher Education And Health Insurance Coverage And Healthcare Utilization For Black Or African American Individuals, Emma Revoir
Psychology Student Works
Higher education may decrease mortality due to higher income and health insurance availability (Buckles et al., 2016). Education can increase understanding and utilizing health insurance (Gallo et al., 2020). There is a gap in how this relationship affects racial minorities. This study aims to understand how health insurance is affected by education level for Black or African American individuals.
The Association Between Sibling Relationships And Personality,
2022
Bethel University
The Association Between Sibling Relationships And Personality, Rebecca Ramsey
Psychology Student Works
Differences in self perception (specifically aggression) was discovered in participants with siblings, and no difference of intelligence, outgoing personalities, creativity, competitiveness and family orientation (Van Volkom, Guerguis, & Kramer, 2017). Sisters were found to have more empathy than the brothers along with higher intimacy, knowledge, and emotional support (Walęcka-Matyja, 2017). There is a gap in my research between sibling jealousy and depression, sibling negativity, and intimacy in young adulthood (Hamwey & Whiteman, 2020). My study examines the similarity of personality to siblings. Some personality traits may include jealousy, outgoingness, competitiveness, and creativity.
How Quality Of Paternal Relationship Impacts Depression Development In Adulthood,
2022
Bethel University
How Quality Of Paternal Relationship Impacts Depression Development In Adulthood, Rachel Lane
Psychology Student Works
Previous studies show that paternal involvement directly correlates to a decrease in the child’s probability of developing a mental illness (O’Gara, et.al. 2019). Research shows, the more supportive and the more affection a parent gives, the less likely a child is to develop depressive tendencies (Del Barrio, et. al. 2016) There is a gap in investigating whether or not having a loving father postpones the age at which someone is diagnosed with depression. This study provides insight into paternal closeness and the age at which someone is diagnosed with depression.
The Association Between Promiscuity And Marital Satisfaction,
2022
Bethel University
The Association Between Promiscuity And Marital Satisfaction, Shelby Kate Christopher
Psychology Student Works
Research has suggested that premarital cohabitation is linked to a heightened risk of divorce and dissatisfaction if it occurs with someone other than the marriage partner (Teachman, 2004). The number of partners is linked to marital dissatisfaction for both men and women (Legkauskas & Stankevičienė, 2008). Involvement in church groups is linked to a 5x increase in likelihood of abstinence (Paul et al, 2000). Previous studies have used small sample sizes with little diversity and few men. However, my research will use a large, diverse sample size with both men and women.
The Association Between Religiosity And Alcohol Use In Adolescents,
2022
Bethel University
The Association Between Religiosity And Alcohol Use In Adolescents, Daphny Vang
Psychology Student Works
Research has found that the age and strength of religion directly correlate to the level of alcohol consumption(Mason & Windle, 2002). Previous studies show that adult women with stronger religious beliefs consume less alcohol compared to those with weaker religious beliefs (Mattila & et al., 2001). There is a gap in investigating the relationship between religiosity and alcohol use in adolescents. This study provides insight into the relationship between religiosity and alcohol consumption with adolescents.
The Relationship Between Adults Education Level And Their Mental Health Status,
2022
Bethel University
The Relationship Between Adults Education Level And Their Mental Health Status, Kelsey Bergan
Psychology Student Works
Research has shown that those with a higher education are more likely to seek out sources to help them with mental disorders (Ibrahim, et al., 2019; Neimeyer, et al., 2011). Previous studies have found that students with a lower GPA show signs of depression, anxiety and eating disorders (Eisenberg, Globerstein & Hunt, 2009). There is a gap in investigating the relationship between education level and an adult’s mental health experiences. This study will provide insight to the relationship between an adults education level and their mental health.
The Relationship Between Adolescents’ Participation In Religious/Spiritual Activities And Mental Health As An Adult,
2022
Bethel University
The Relationship Between Adolescents’ Participation In Religious/Spiritual Activities And Mental Health As An Adult, Tiara Lamb
Psychology Student Works
Many receiving mental health treatment across the U.S. see spirituality and religion as very helpful in supporting their mental state (Oxhandler et al., 2021). How often black Americans attended church in adolescence is related to how as a young adult they could spiritually handle mentally stressing situations (Alexander, 2017). There’s a gap in previous studies because most of them study specific groups rather than using a representative sample of the U.S. In addition, there is a lack of studies investigating the relationship between adolescent religiosity/spirituality and adult mental health. This study uses a representative sample and investigates the association between …
The Association Of Maternal Relationships And Acts Of Violence In Adults,
2022
Bethel University
The Association Of Maternal Relationships And Acts Of Violence In Adults, Cameron Shores
Psychology Student Works
Through research it has been found that people who do not feel close to their parents are more likely to react with violence (Cano-Lozano et al., 2020). Studies have also shown that people who reported adverse relationships as children, tend to have more violence-related outcomes (Duke, 2010). There is currently a gap in explaining the association between maternal closeness and violent tendencies. This study is meant to help fill that gap and bring cognizance to the relationship between maternal closeness and violence.
Session 13: On Statistical Estimates Of The Inverted Kumaraswamy Distribution Under Adaptive Type-I Progressive Hybrid Censoring,
2022
University of South Dakota
Session 13: On Statistical Estimates Of The Inverted Kumaraswamy Distribution Under Adaptive Type-I Progressive Hybrid Censoring, Qingqing Li, Yuhlong Lio
SDSU Data Science Symposium
The probability distribution modeling is investigated via maximum likelihood estimation method based on adaptive type-I progressively hybrid censored samples from the inverted Kumaraswamy distribution. The point estimates of model parameters, reliability, hazard rate and quantile are obtained and confidence intervals are also developed by using asymptotic distribution as well as bootstrap method. Monte Carlo simulation has been performed to evaluate the accuracy of estimations. Finally, a real data set is given for the application illustration.
Using The Fraction Of Missing Information (Fmi) In Selecting Auxiliary Variables To Impute Missingness In Confirmatory Factor Analysis (Cfa),
2022
University of Denver
Using The Fraction Of Missing Information (Fmi) In Selecting Auxiliary Variables To Impute Missingness In Confirmatory Factor Analysis (Cfa), Dareen Taha Alzahrani
Electronic Theses and Dissertations
This study aimed to investigate the effectiveness of using the fraction of missing information (FMI) to select auxiliary variables in imputing missing data in confirmatory factor analysis (CFA). This was done by conducting two studies (a simulation study and an empirical study). A Monte Carlo simulation technique was used to compare the performance and the effect of the restrictive strategy based on FMI and the inclusive strategy on parameter estimate bias and parameter estimate efficiency. The missing data mechanisms, missing data proportion, correlation strength between the analysis variables and auxiliary variables, and the inclusive and restrictive strategies were assessed in …
Examining The Credibility Of Story-Based Causal Methodologies,
2022
University of Denver
Examining The Credibility Of Story-Based Causal Methodologies, Megan E. Kauffmann
Electronic Theses and Dissertations
The purpose of this study was to explore how evaluators justify using story-based methodologies when examining causality. The two primary research questions of the study included: 1) what arguments are made by evaluators to justify the credibility of story-based causal methodologies to evaluation stakeholders; and 2) from the perspective of evaluators, how do contextual factors influence whether story-based causal methodologies are perceived as credible by evaluation stakeholders? A case study was conducted to examine the cases of four evaluators who had experience implementing a story-based methodology in an evaluation. Data collection procedures included two interviews with each participant and a …
Mis-Specification Of Functional Forms In Growth Mixture Modeling: A Monte Carlo Simulation,
2022
University of Denver
Mis-Specification Of Functional Forms In Growth Mixture Modeling: A Monte Carlo Simulation, Richa Ghevarghese
Electronic Theses and Dissertations
Growth mixture modeling (GMM) is a methodological tool used to represent heterogeneity in longitudinal datasets through the identification of unobserved subgroups following qualitatively and quantitatively distinct trajectories in a population. These growth trajectories or functional forms are informed by the underlying developmental theory, are distinct to each subgroup, and form the core assumptions of the model. Therefore, the accuracy of the assumed functional forms of growth strongly influences substantive research and theories of growth. While there is evidence of mis-specified functional forms of growth in GMM literature, the weight of this violation has been largely overlooked. Current solutions to circumvent …
A Predictive Model To Predict Cyberattack Using Self-Normalizing Neural Networks,
2022
Marshall University
A Predictive Model To Predict Cyberattack Using Self-Normalizing Neural Networks, Oluwapelumi Eniodunmo
Theses, Dissertations and Capstones
Cyberattack is a never-ending war that has greatly threatened secured information systems. The development of automated and intelligent systems provides more computing power to hackers to steal information, destroy data or system resources, and has raised global security issues. Statistical and Data mining tools have received continuous research and improvements. These tools have been adopted to create sophisticated intrusion detection systems that help information systems mitigate and defend against cyberattacks. However, the advancement in technology and accessibility of information makes more identifiable elements that can be used to gain unauthorized access to systems and resources. Data mining and classification tools …
