Matching Items (11)
Filtering by

Clear all filters

135570-Thumbnail Image.png
Description
There is a disconnect between the way people are taught to find success and happiness, and the results observed. Society teaches us that success will lead to happiness. Instead, it is argued that success is engrained in happiness. Case studies of four, established, successful people: Jack Ma, Elon Musk, Ricardo

There is a disconnect between the way people are taught to find success and happiness, and the results observed. Society teaches us that success will lead to happiness. Instead, it is argued that success is engrained in happiness. Case studies of four, established, successful people: Jack Ma, Elon Musk, Ricardo Semler, and William Gore, have been conducted in order to observe an apparent pattern. This data, coupled with the data from Michael Boehringer's story, is used to formulate a solution to the proposed problem. Each case study is designed to observe characteristics of the individuals that allow them to be successful and exhibit traits of happiness. Happiness will be analyzed in terms of passion and desire to perform consistently. Someone who does what they love, paired with the ability to perform on a regular basis, is considered to be a happy person. The data indicates that there is an observable pattern within the results. From this pattern, certain traits have been highlighted and used to formulate guidelines that will aid someone falling short of success and happiness in their lives. The results indicate that there are simple questions that can guide people to a happier life. Three basic questions are defined: is it something you love, can you see yourself doing this every day and does it add value? If someone can answer yes to all three requirements, the person will be able to find happiness, with success following. These guidelines can be taken and applied to those struggling with unhappiness and failure. By creating such a formula, the youth can be taught a new way of thinking that will help to eliminate these issues, that many people are facing.
ContributorsBoehringer, Michael Alexander (Author) / Kashiwagi, Dean (Thesis director) / Kashiwagi, Jacob (Committee member) / Department of Management (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Department of Finance (Contributor) / Sandra Day O'Connor College of Law (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
134976-Thumbnail Image.png
Description
Problems related to alcohol consumption cause not only extra economic expenses, but are an expense to the health of both drinkers and non-drinkers due to the harm directly and indirectly caused by alcohol consumption. Investigating predictors and reasons for alcohol-related problems is of importance, as alcohol-related problems could be prevented

Problems related to alcohol consumption cause not only extra economic expenses, but are an expense to the health of both drinkers and non-drinkers due to the harm directly and indirectly caused by alcohol consumption. Investigating predictors and reasons for alcohol-related problems is of importance, as alcohol-related problems could be prevented by quitting or limiting consumption of alcohol. We were interested in predicting alcohol-related problems using multiple linear regression and regression trees, and then comparing the regressions to the tree. Impaired control, anxiety sensitivity, mother permissiveness, father permissiveness, gender, and age were included as predictors. The data used was comprised of participants (n=835) sampled from students at Arizona State University. A multiple linear regression without interactions, multiple linear regression with two-way interactions and squares, and a regression tree were used and compared. The regression and the tree had similar results. Multiple interactions of variables predicted alcohol-related problems. Overall, the tree was easier to interpret than the regressions, however, the regressions provided specific predicted alcohol-related problems scores, whereas the tree formed large groups and had a predicted alcohol-related problems score for each group. Nevertheless, the tree still predicted alcohol-related problems nearly as well, if not better than the regressions.
ContributorsVoorhies, Kirsten Reed (Author) / McCulloch, Robert (Thesis director) / Zheng, Yi (Committee member) / Patock-Peckham, Julie (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / Department of Psychology (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
Description
For this creative project, the student's overarching objective was to establish a signature dish and to learn how to cook. She acquired a cookbook fit for novice cooks, "Eat What You Love" by Marlene Koch, which focused on healthy eating through the reduction of sugar and fat. The student completed

For this creative project, the student's overarching objective was to establish a signature dish and to learn how to cook. She acquired a cookbook fit for novice cooks, "Eat What You Love" by Marlene Koch, which focused on healthy eating through the reduction of sugar and fat. The student completed thirty recipes including two appetizers, five breakfast entrees, five lunch entrees, twelve dinner entrees, and six desserts. Her culinary ventures were then detailed through a blog site the student had created. Blog posts included a brief description primarily of the portion size, a nutritional analysis of the recipe, enjoyable aspects of the dish, whether something went wrong, what was learned from creating the dish, as well as a photograph of the prepared dish. A large element of this project focused upon food photography and obtaining images that made the created dish look appealing. It was found that the best images were taken in natural lighting with good compositions and pops of color. In order to gain readership, the student developed an Instagram account where she would post images of the food and provide links to her blog entries and recipes. Through this means, she was able to obtain over 100 followers to her blog. In addition to learning how to cook, the student sought out to understand components of a healthy diet and how each nutrient contributes to an individual health. This objective is detailed throughout the course of the paper as well as several other objectives. The student also studied how social media has impacted the way in which we share food and our knowledge of food. Additionally in this paper, the student evaluated the evolution of the USDA Dietary Guidelines and their effectiveness over time. From this project, the student walked away with new knowledge about nutritional eating and lifestyle habits that she will retain for years to come. She hopes that this project will encourage other students to take on their own culinary adventure.
ContributorsMarley, Allison Marie (Author) / Levinson, Simin (Thesis director) / Martinelli, Sarah (Committee member) / Harrington Bioengineering Program (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
135771-Thumbnail Image.png
Description
Background: As the growth of social media platforms continues, the use of the constantly increasing amount of freely available, user-generated data they receive becomes of great importance. One apparent use of this content is public health surveillance; such as for increasing understanding of substance abuse. In this study, Facebook was

Background: As the growth of social media platforms continues, the use of the constantly increasing amount of freely available, user-generated data they receive becomes of great importance. One apparent use of this content is public health surveillance; such as for increasing understanding of substance abuse. In this study, Facebook was used to monitor nicotine addiction through the public support groups users can join to aid their quitting process. Objective: The main objective of this project was to gain a better understanding of the mechanisms of nicotine addiction online and provide content analysis of Facebook posts obtained from "quit smoking" support groups. Methods: Using the Facebook Application Programming Interface (API) for Python, a sample of 9,970 posts were collected in October 2015. Information regarding the user's name and the number of likes and comments they received on their post were also included. The posts crawled were then manually classified by one annotator into one of three categories: positive, negative, and neutral. Where positive posts are those that describe current quits, negative posts are those that discuss relapsing, and neutral posts are those that were not be used to train the classifiers, which include posts where users have yet to attempt a quit, ads, random questions, etc. For this project, the performance of two machine learning algorithms on a corpus of manually labeled Facebook posts were compared. The classification goal was to test the plausibility of creating a natural language processing machine learning classifier which could be used to distinguish between relapse (labeled negative) and quitting success (labeled positive) posts from a set of smoking related posts. Results: From the corpus of 9,970 posts that were manually labeled: 6,254 (62.7%) were labeled positive, 1,249 (12.5%) were labeled negative, and 2467 (24.8%) were labeled neutral. Since the posts labeled neutral are those which are irrelevant to the classification task, 7,503 posts were used to train the classifiers: 83.4% positive and 16.6% negative. The SVM classifier was 84.1% accurate and 84.1% precise, had a recall of 1, and an F-score of 0.914. The MNB classifier was 82.8% accurate and 82.8% precise, had a recall of 1, and an F-score of 0.906. Conclusions: From the Facebook surveillance results, a small peak is given into the behavior of those looking to quit smoking. Ultimately, what makes Facebook a great tool for public health surveillance is that it has an extremely large and diverse user base with information that is easily obtainable. This, and the fact that so many people are actually willing to use Facebook support groups to aid their quitting processes demonstrates that it can be used to learn a lot about quitting and smoking behavior.
ContributorsMolina, Daniel Antonio (Author) / Li, Baoxin (Thesis director) / Tian, Qiongjie (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
147748-Thumbnail Image.png
Description

The role of technology in shaping modern society has become increasingly important in the context of current democratic politics, especially when examined through the lens of social media. Twitter is a prominent social media platform used as a political medium, contributing to political movements such as #OccupyWallStreet, #MeToo, and

The role of technology in shaping modern society has become increasingly important in the context of current democratic politics, especially when examined through the lens of social media. Twitter is a prominent social media platform used as a political medium, contributing to political movements such as #OccupyWallStreet, #MeToo, and #BlackLivesMatter. Using the #BlackLivesMatter movement as an illustrative case to establish patterns in Twitter usage, this thesis aims to answer the question “to what extent is Twitter an accurate representation of “real life” in terms of performative activism and user engagement?” The discussion of Twitter is contextualized by research on Twitter’s use in politics, both as a mobilizing force and potential to divide and mislead. Using intervals of time between 2014 – 2020, Twitter data containing #BlackLivesMatter is collected and analyzed. The discussion of findings centers around the role of performative activism in social mobilization on twitter. The analysis shows patterns in the data that indicates performative activism can skew the real picture of civic engagement, which can impact the way in which public opinion affects future public policy and mobilization.

ContributorsTutelman, Laura (Author) / Voorhees, Matthew (Thesis director) / Kawski, Matthias (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description

In this study I hope to begin evaluating contemporary young adult literature that focuses on the bereavement of adolescents to see if the novels portray psychologically proven productive coping methods. I hope to initiate a conversation around how complicated bereavement is depicted within young adult literature that will establish a

In this study I hope to begin evaluating contemporary young adult literature that focuses on the bereavement of adolescents to see if the novels portray psychologically proven productive coping methods. I hope to initiate a conversation around how complicated bereavement is depicted within young adult literature that will establish a body of research that can be expanded into a further exploration into the young adult literature market. Within my study, I will conduct a psychological literature review on young adult complicated grief and coping mechanisms. Then I will create an instrument of analysis, a rubric/model to evaluate the fidelity of novels based on the research within the literature review. Finally, I will evaluate the depiction of productive adolescent grief coping mechanisms in the recently published novel All My Rage by Saaba Tahir based upon my literary model. Finally, I will write my own short story based upon my research and findings in analyzing the model, seeking to represent methods not seen in the literature or not discussed within research.

ContributorsBeadle, Ruth (Author) / Blasingame, James (Thesis director) / Irish, Jenny (Committee member) / Barrett, The Honors College (Contributor) / Department of English (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / School of Art (Contributor) / School of International Letters and Cultures (Contributor)
Created2023-05
Description

Many studies indicate a positive relationship between fundamentalism and sexual and racial prejudice. Many of these studies use the Religious Fundamentalism Scale (RFS), the Attitudes Towards Homosexuals Scale (ATHS) and the Manitoba Scale. However, there appears to be overlap between RFS and both ATHS and the Manitoba Scale, unaddressed by

Many studies indicate a positive relationship between fundamentalism and sexual and racial prejudice. Many of these studies use the Religious Fundamentalism Scale (RFS), the Attitudes Towards Homosexuals Scale (ATHS) and the Manitoba Scale. However, there appears to be overlap between RFS and both ATHS and the Manitoba Scale, unaddressed by the literature. This study looked at possible overlaps between RFS and ATHS and between RFS and the Manitoba Scale that could inflate the correlation statistic of fundamentalism and sexual and racial prejudice. The Intratextual Fundamentalism Scale (IFS), a study without authoritarian or apparent prejudice-overlapping items, was also tested for overlap. Results showed two-factor structures—namely fundamentalism and prejudice—with only two items loading to the opposite factor. However, there were many near-zero item loadings. The discussion suggests ways to change these items to increase factor loadings and to change overall measures construct validity. The correlations between fundamentalism and sexual prejudice were not significant before modifying the measures and were small and negative after modifying (modifying measures means removing all crossloaded and near-zero loaded items). The modified fundamentalism and sexual prejudice measures correlations do not follow the literature. This may be due to the sample including sexual orientation minorities and a majority of atheist, agnostic, or ‘nothing in particular’ affiliations. The correlations between fundamentalism and racial prejudice were medium and positive before modifying and were small and positive after modifying. This falls in line with the literature of small and medium positive correlation statistics.

ContributorsMarks, Elizabeth (Author) / Cohen, Adam (Thesis director) / Doane, Leah (Committee member) / Edwards, Mike (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Department of Psychology (Contributor)
Created2023-05
Description
Misinformation, defined as incorrect or misleading information, has been around since the beginning of time. However, the rise of technology and widespread use of social media has allowed misinformation to evolve and gain more traction. This study aims to examine health and political misinformation within the contexts of the COVID-19

Misinformation, defined as incorrect or misleading information, has been around since the beginning of time. However, the rise of technology and widespread use of social media has allowed misinformation to evolve and gain more traction. This study aims to examine health and political misinformation within the contexts of the COVID-19 pandemic and the 2020 U.S. Presidential Election. Utilizing samples of misinformation from the 45th president of the United States, I analyzed the levels of engagement that this misinformation received on the social media platform X, formerly known as Twitter. I also examined how various Google search query trends changed over time in response to this misinformation. Then, I categorized the data into misleading statistics, misrepresentations of opinions as facts, or completely false content. Lastly, I looked into the physical responses that resulted from the spread of such misinformation. My findings of this case study showed that misinformation received significantly more attention than other social media posts, as evidenced by increased Google searches related to the topics and higher levels of likes and retweets on misinformative Tweets during the specified periods. Furthermore, the former president employed all three types of misinformation, with misleading statistics most prevalent in the health misinformation sample and misrepresentations of opinions as facts most prevalent in the political misinformation sample. The repercussions of this misinformation encompassed individuals ingesting unsafe products, decreased trust in the electoral process, and a violent insurrection at the U.S. Capitol. Despite the existing research in this field, there remains much more to be uncovered regarding the vast amount of misinformation circulating on the Internet.
ContributorsShah, Sona (Author) / Boghrati, Reihane (Thesis director) / Simeone, Michael (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Department of Information Systems (Contributor)
Created2023-12
ContributorsShah, Sona (Author) / Boghrati, Reihane (Thesis director) / Simeone, Michael (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Department of Information Systems (Contributor)
Created2023-12
ContributorsShah, Sona (Author) / Boghrati, Reihane (Thesis director) / Simeone, Michael (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Department of Information Systems (Contributor)
Created2023-12