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Grit, Personality, and Job Performance: Exploring Nonlinear Relationships
Get PDFHiring employees suitable for specific jobs is a challenge facing organizations, as the cost of a poor hire is approximately 30% of that employee’s first-year earnings, according to the U.S. Department of Labor. Employers look to individual differences, such as cognitive ability and personality, to help match applicants with appropriate jobs, as they are supported by research evidence. However, some variance in job performance is explained by differing combinations of these variables, among others.
Research in education and psychology have recently highlighted grit as a potentially strong predictor of success in non-work contexts. Grit was introduced by Angela Duckworth, who defined grit as a trait encompassing “passion and perseverance for long-term goals.” Grit is a trait often manifested in the face of adversity and can help individuals overcome challenges and achieve success by persevering despite difficulty. Critics of Duckworth and her colleagues’ research point to a lack of conceptual clarity against existing personality factors such as conscientiousness.
The present study explores the overlap between the current grit model and existing models of personality. Prior to the main study, a group of subject-matter experts (SMEs) independently mapped the grit subscales from the shorter grit scale (Grit-S) onto the Five-Factor Model of personality at the facet level. Items from the IPIP NEO-PI personality facets (300-item version) rated by SMEs to closely align with grit were included in the main study, along with the Grit-S scale. Alternative measurement models for the grit construct (including subscales and higher-order factors) were assessed using items from the Grit-S as well as the IPIP. Results of confirmatory factor analyses guide the models of grit in subsequent analyses of the grit-performance relationship.
Although there have been several published studies on the measurement of grit and how they construct relates to success, further research is needed to determine if the grit measures are sufficiently robust when used to predict individual and work-related performance. The purpose of this study was to fill in the gaps for measurement and understanding of grit’s relationship with job success. Specifically, the present study investigated the relationship between grit and performance to determine whether a nonlinear model is a better fit than the linear model currently described in the literature. The hypothesized relationships were tested using hierarchical multiple regression with a quadratic term to prove whether a curvilinear relationship exists. The results of this study indicated that there is, in fact, a first-order, two-factor grit model with first-order factors being passion and perseverance.
Interestingly, mapping of personality facets to grit did not yield models with an acceptable fit. Using the first-order model with a satisfactory fit, a significant linear relationship was found between performance and passion and perseverance. There was not a meaningful non-linear relationship between passion and perseverance and performance, however. Although results were not what was expected, they advance the research on the measurement of the grit construct and its relationship with job performance and, ultimately, its usefulness in selection contexts. Research implications, limitations, and recommendations are presented in the discussion
Stress Analysis of Operating Gas Pipeline Installed by Horizontal Directional Drilling and Pullback Force Prediction During Installation
Get PDFWith the development of the natural gas industry, the demand for pipeline construction has also increased. In the context of advocating green construction, horizontal directional drilling (HDD), as one of the most widely utilized trenchless methods for pipeline installation, has received extensive attention in industry and academia in recent years. The safety of natural gas pipeline is very important in the process of construction and operation. It is necessary to conduct in-depth study on the safety of the pipeline installed by HDD method.
In this dissertation, motivated by the following considerations, two aspects of HDD installation are studied. First, through the literature review, one issue that has not received much attention so far is the presence of stress problem during the operation condition. Thus, two chapters (Chapters 3 and 4) in this dissertation are related to the pipe stress analysis during the operation. Regarding this problem, two cases are considered according to the fluidity of drilling fluid. The more dangerous situation is determined by comparing the pipeline stress in the two working conditions. The stress of pipeline installed by HDD method and open-cut method is also compared, and it indicates that the stress of pipeline installed by HDD method is lower. Moreover, through the analysis of influence factors and stress sensitivity, the influence degree of different parameters on pipeline stress is obtained.
Secondly, literature review indicates that the accurate prediction of pullback force in HDD construction is of great significance to construction safety and construction success. However, the accuracy of current analytical methods is not high. In the context of machine learning and big data, three new hybrid data-driven models are proposed in this dissertation (Chapter 5) for near real-time pullback force prediction, including radial basis function neural network with complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN-RBFNN), support vector machine using whale optimization algorithm with CEEMDAN (CEEMDAN-WOA-SVM), and a hybrid model combines random forest (RF) and CEEMDAN. Three novel models have been verified in two projects in China. It is found that the prediction accuracy is dramatically improved compared with the original analytical models (or empirical models). In addition, through the feasibility analysis, the great potential of machine learning model in near real-time prediction is proved.
At the end of this dissertation, in addition to summarizing the primary conclusions, three future research directions are also pointed out: (1) stress analysis of pipelines installed by HDD in more complex situations; (2) stress analysis of pipeline during HDD construction; (3) database establishment in HDD engineering
Computer Vision for Inventory Management
Get PDFDeep learning is a subset of machine learning that extracts high-level features from raw data over multiple layers. Deep learning for computer vision has become more popular in the last few years, but the data and resource requirements make it difficult to implement on Internet of Things (IoT) devices. This work aims at providing a series of techniques that can alleviate some of the strain caused by these requirements in order to make a computer vision system for inventory management more feasible. These techniques include data collection, data preprocessing, transfer learning, and a method for intelligently growing a dataset throughout the lifetime of the system. The techniques laid out in this thesis are a combination of existing and proposed techniques to aid in the use of a computer vision system throughout its lifecycle
Whale Spotted
No full textJody Johnson is in her third year at Louisiana Tech University as a mechanical engineering student. In all the free time that she can manage to get, she creates drawings using either ink, pencil, or colored pencil. It has been a passion of Jody’s since she was about fourteen years old and she believes that art, science, and math closely coincide, as she has learned so much from studying the things that she tries to capture on paper.https://digitalcommons.latech.edu/quatrain-gallery-volume-4/1020/thumbnail.jp
Glucose Regulation Using an Intelligent PID Controller
Get PDFType 1 diabetes is a condition characterized by a lack of insulin production. This lack of insulin causes glucose concentration in the blood to increase after meals. In order to maintain blood glucose levels, diabetics must inject insulin using needles or an insulin pump. Additionally, the lack of insulin can cause glucose levels to decrease overnight. This project uses a proportional integral derivative (PID) controller to modify the rate of insulin and glucagon infusion when glucose levels are increasing or decreasing, respectively. A system of 13 differential equations were used to anticipate changes in glucose concentration as insulin and glucagon were injected. The system was simulated for virtual patients over a 24-hour time span in order to test its feasibility in human patients. The PID controller uses the current, past, and anticipated future glucose levels, respectively, in order to better determine the best course of treatment for the virtual patient. One of the many difficulties in medical technology, however, is that everyone is different. These differences are a result of metabolism and other factors. To account for this fact the controller is designed to change the gain of the different controller components in order to better tailor the treatment to each patient
The English Quarrel of Crown and Mitre: Ecclesiastical Liberties from Thomas Becket to Thomas More, 1170-1535
Get PDFTwo rival sets of law, canon and common, warred for supremacy in England from 1170-1535. Just as with any battle, casualties followed. Where Becket and Henry II fought the first battle in this clash of legal systems, More and Henry VIII would end it. The deaths of Thomas Becket in the twelfth century and Thomas More in the sixteenth century bear a striking resemblance, but while this superficially indicates a consistency of outcome, it also probes further into a consistency of conditions which made such an outcome likely. The difference between common and canon law, and the feud born therein, was not due to the choice characteristics of any individual canonist or common lawyer. It was, rather, born from the very nature of each set of law and the subset of rival principles each employed. This thesis coordinates both the political and principled understandings of each martyrdom as to construct a more holistic account of common law’s ascendance and dominance over canon law from 1170-1535. Frederick Maitland and Frederick Pollock’s “enemy theory,” the idea that there were lasting conflicts between the church and state in England, is relevant for this discussion, but it has fallen prey to insightful critiques by David J. Seipp. Therefore, before the “enemy theory” can be used, it must be resuscitated and altered. The Becket controversy of the twelfth century begins the process of the enemy theory’s revival through a demonstration that, despite the deep friendship Becket and Henry enjoyed, the two still quarreled as both became increasingly entrenched by their adherence to their own separating principles. Thomas More, likewise, concludes this process of revival through a demonstration of his commitment to the common law insofar as he was not yet called to choose between them. Once Henry VIII moved to consolidate the spiritual and temporal powers and place himself as the arbiter of theology of the Church of England, More recused himself to silence; he argued that he could not profess two rival principles concurrently. The revival of this theory of quarrel will therefore go into great detail of the personal characteristics of the important figures involved to demonstrate how, even in spite of the fellowship each enjoyed, the underlying tension of principles remained
Why Must I Remain In Shadows
Get PDFKayla O’Neal is an MFA candidate in studio art with an emphasis in drawing and illustration at Louisiana Tech University. She earned her BFA in Game, Animation, and Simulation Design from Southern Arkansas University in Magnolia. After completing her undergraduate degree, O’Neal interned as a photographer through the Disney College Program. Her photographs have been exhibited in several galleries, including the LoosenArts Gallery in Rome, Italy. TeenInk, Emergence, and The Friend magazines have published O’Neal’s writings. She is currently writing and illustrating Noor, a children’s book featuring characters with chronic illnesses. O’Neal is a storyteller passionate about creating worlds through writing and image making
My god
Get PDFSadie Seilhan is a freshman at Louisiana Tech University studying Spanish. She loves to write, and hopes to minor in English. She aspires to be a professional translator when she finishes school. Sadie loves language and art, nature and photography, and food and culture
Listen
Get PDFKristyn Hardy is a first year student at Louisiana Tech University studying English. Her goal is to one day become a published author. She is from a small town in Arkansas and was raised in a family that emphasizes creativity above all else. Kristyn hopes that her piece embodies this ideal