Social and Behavioral Sciences Commons^™

Argumentation For Critical Heterogenous Political Discussions: Constructing A Rebuttal, Rebecca Oliver

Discourse: The Journal of the SCASD

This activity seeks to explain to undergraduate students how to craft a proper attack and defense in argumentation and debate, persuasion, or political communication courses. The activity teaches students 1) the parts of a basic argument structure and 2) how to construct a rebuttal using a basic argument structure. Students will argue against their true political typology by selecting an opposing typology from the Pew Research Typology Quiz. Broadly, this exercise is designed to encourage students to engage in dialogues with people who disagree with their political positionality. Specifically, the activity accomplishes this by teaching students the value of basic …

Encoding & Decoding: Artfully Modeling Communication, Daniel L. Foster, Ashley D. Garcia

Discourse: The Journal of the SCASD

Drawing objects and concepts, such as cats, trees, love, democracy, and family, is probably the last activity students expect to do in a communication course. Although this sounds like an introductory art activity, creating visual representations provides a nuanced understanding of the encoding and decoding processes. Encoding and decoding are the most hidden and often the most unfamiliar and complex fundamental components of communication for students to comprehend. By engaging in this activity, students translate their decoding process into drawings, which serve as personal artifacts representative of their encoding and decoding. Students come to better conceptualize this cognitive process with …

“Party In The Communication Classroom”: Exploring Communication Competence To Raise Social Awareness, Nancy Bressler

Discourse: The Journal of the SCASD

This activity demonstrates communication competence and allows students to observe, assess, and ultimately utilize the model of communication competence to engage with other people successfully. To understand how to engage in communication competence, students must recognize that appropriateness and effectiveness are crucial aspects of their communication. Through the communication competence model, students examine how to achieve effectiveness in their communication by setting goals for specific contexts; they also consider to what extent their goals are achievable given the particular situation. Using a 2014 MTV Video Music Award example, students can analyze why Miley Cyrus allowed a homeless man to accept …

Introducing Public Speaking Self-Concept (Pssc): A Novel, Qualitatively-Derived Communication Anxiety And Competence Variable, Karla M. Hunter, Joshua N. Westwick

Discourse: The Journal of the SCASD

Despite numerous quantitative assessments of teaching interventions that have helped mitigate public speaking anxiety (PSA), this common barrier to public speaking persists. In addition, quantitative measures may not be appropriate for all instructional goals, especially with students from across a variety of cultures. To enrich educators’ capacity to help diverse bodies of students overcome the challenges presented by PSA, this qualitative study asked students to “Please describe yourself as a public speaker” at the beginning and the end of a freshman-level, general education public speaking class. Thematic analysis identified a two-dimensional pattern within student responses (N = 51) (a …

Front Matter

Discourse: The Journal of the SCASD

No abstract provided.

Discourse: The Journal Of The Scasd, Volume 8 (2023), The Speech Communication Association Of South Dakota

Discourse: The Journal of the SCASD

No abstract provided.

College Of Natural Sciences Newsletter, September - October 2023, College Of Natural Sciences

College of Natural Sciences Newsletters and Reports

Page 1 Dean's Message
Page 2 New Faculty an Staff for the Fall 2023 Semester
Page 3 Awards
Page 4 Student Ambassadors in CNS
Page 5 Meet our Jacks
Page 6-8 Events
Page 9-11 Media Coverage of CNS
Page 12-13 Spring 2023 Dean's List
Page 14 Open PRAIRIE Data

Demonstration Of Large Area Land Cover Classification With A One Dimensional Convolutional Neural Network Applied To Single Pixel Temporal Metric Percentiles, Hankui K. Zhang, David P. Roy, Dong Luo

GSCE Faculty Publications

Over large areas, land cover classification has conventionally been undertaken using satellite time series. Typically temporal metric percentiles derived from single pixel location time series have been used to take advantage of spectral differences among land cover classes over time and to minimize the impact of missing observations. Deep convolutional neural networks (CNNs) have demonstrated potential for land cover classification of single date images. However, over large areas and using time series their application is complicated because they are sensitive to missing observations and they may misclassify small and spatially fragmented surface features due to their spatial patch-based implementation. This …

Utility Of Daily 3 M Planet Fusion Surface Reflectance Data For Tillage Practice Mapping With Deep Learning, Dong Luo, Hankui K. Zhang, Rasmus Houborg, Lina M.N. Ndekelu, Maitiniyazi Maimaitijiang, Khuong H. Tran, John Mcmaine

GSCE Faculty Publications

Tillage practices alter soil surface structure that can be potentially captured by satellite images with both high spatial and temporal resolution. This study explored tillage practice mapping using the daily Planet Fusion surface reflectance (PF-SR) gap-free 3 m data generated by fusing PlanetScope with Landsat-8, Sentinel-2 and MODIS surface reflectance data. The study area is a 220 × 220 km2 agricultural area in South Dakota, USA, and the study used 3285 PF-SR images from September 1, 2020 to August 31, 2021. The PF-SR images for the surveyed 433 fields were sliced into 10,747 training (70%) and evaluation (30%) non-overlapping time …

College Of Natural Sciences Newsletter, March - May 2023, College Of Natural Sciences

College of Natural Sciences Newsletters and Reports

Volume 4, Issue 2

Page 1 Dean's Message
Page 2-7 Awards and Recognition
Page 8 March 3rd Corothers Seminar
Page 9 54th Geography Convention
Page 10 Spring 2023 Day of Scholars
Page 11 2023 URSCAD Snaps
Page 12-14 Media Coverage of CNS
Page 15 Open PRAIRIE Data

Where Does The Church Stand In Today’S Mental Health Landscape?, Noah T. Mursu

Honors Capstone Projects

Religious involvement in care for those living with mental illness has been going on for centuries, and perspectives on it have changed throughout the years. This literature review evaluates the place of religious groups, mainly Christian churches, in today's mental health situation by considering past and present involvement. It incorporates sources regarding different eras of mental hospital reform, modern perspectives of mental health clinicians and clergy, and the current gaps in mental health support among a variety of groups, including veterans, African Americans, and people in developing countries. This review then considers potential future involvement, especially considering how these gaps …

Why Do High-Achieving Women Feel Like Frauds? Intersecting Identities And The Imposter Phenomenon, Nicole Lounsbery

Great Plains Sociologist

The imposter phenomenon is a concept used to characterize the presence of intense feelings of intellectual fraudulence, particularly among high-achieving women. Researchers have tried to explain not only why this phenomenon occurs, but why it is more prevalent in highly successful women. This study predicts that the intersection of gender with race, class, and parental educational attainment contributes to women’s feelings of fraudulence. Clance Imposter Phenomenon Scale (CIPS) scores were used to determine the effects of identity variables on imposter feelings in a sample of 403 female graduate students. Results indicate a strongly positive relationship between Native American identity and …

College Of Natural Sciences Newsletter, February 2023, College Of Natural Sciences

College of Natural Sciences Newsletters and Reports

Volume 4, Issue 1

Page 1 Dean's Message
Page 2 Awards and Recognition
Page 3-4 Nobel Recipient Visits Campus
Page 4 Adopting the Pantry
Page 5 Growing a Recruitment Mindset
Page 6 February Outreach Events
Page 7 Media Coverage of CNS
Page 8 Open PRAIRIE Data
Page 9 54th Geography Convention, and Tom Loveland EROS Geography Scholarship
Page 10 Photos of Dr. Carolyn Bertozzi's Visit

College Of Natural Sciences Newsletter, November 2022 - January 2023, College Of Natural Sciences

College of Natural Sciences Newsletters and Reports

Volme 3, Issue 7

Page 1 Dean's Message
Page 2 Awards & Recognition
Page 3 Sioux Falls Middle School Visit
Page 4 Bio-Micro Day of Scholars
Page 5 GIS Day at USGS EROS
Page 6 Indigenous People's Festival, & Visiting Jack's Imagination Lab
Page 7 Media Coverage of CNS, & Research Highlights from Geography & Geospatial Sciences
Page 8 Media Coverage of CNS. cont.
Page 9 Open PRAIRIE Data
Page 10 Recent Publications from CNS
Page 11 Recent Publications from CNS. cont.
Page 12 CNS Holiday Snapshots
Page 13 & 14 Fall 2022 Dean's List
Page 12-14 Fall 2022 Outreach …

The Relevance Of Shame Across Time And Location, Miranda Vander Berg, Kari Sandouka

SDSU Data Science Symposium

Twitter is used among various entities professionals, politicians, and the general public as an online social network. Many tweets are informational, but others are reactive based on judgment that leads to public shaming. In response to the book “The Shame Machine” (by Cathy O’Neil), we look at Tweets to determine a linguistical and content analysis of shame. The research focuses on content analysis to define if a tweet contains language that is deduced as public shaming. Other factors relating to the tweet are the time, date, location of the author, and if it’s the initial post or a response to …

Session 8: Ensemble Of Score Likelihood Ratios For The Common Source Problem, Federico Veneri, Danica M. Ommen

SDSU Data Science Symposium

Machine learning-based Score Likelihood Ratios have been proposed as an alternative to traditional Likelihood Ratios and Bayes Factor to quantify the value of evidence when contrasting two opposing propositions.

Under the common source problem, the opposing proposition relates to the inferential problem of assessing whether two items come from the same source. Machine learning techniques can be used to construct a (dis)similarity score for complex data when developing a traditional model is infeasible, and density estimation is used to estimate the likelihood of the scores under both propositions.

In practice, the metric and its distribution are developed using pairwise comparisons …

Session 7: Would Ai Stocks Estimate Be As Surprised To Usda Stock Reports As Private Market Analysts?, Asif Mahmud Chowdhury, Matthew Elliott

SDSU Data Science Symposium

Would AI Stocks Estimate Be as Surprised to USDA Stock Reports as Private Market Analysts?

Keywords: Machine Learning, Random Forest, Agricultural Commodities Market, Informational Impact, Efficient Market Hypothesis.

The USDA survey-based Quarterly Grain Stocks reports are the primary source of information regarding the relative supply of U.S. corn, soybeans, and wheat for the last fifty years. Previous research has examined the accuracy of the USDA stock reports and their relevancy to the market, given alternative sources of estimates (e.g., Isengildina-Massa et al., 2021). For example, private industry analysts also estimate expected quarterly grain stock reports before USDA releases their reports. …

The Influence Of Peyton Manning’S Christian Masculinity, Jacob Edwards

Schultz-Werth Award Papers

Have you ever had a role model or favorite athlete? I had a few, Peyton Manning was and still is my favorite. My favorite team has always been the Indianapolis Colts and that is the team Peyton Manning played for. Growing up I collected a variety of trading cards. I have a couple of Peyton Manning’s rookie cards and even one of his jersey cards. I remember getting those and being pretty fired up when I got them. I admired his attitude toward the sport as it always seemed like he was trying to make a positive impact, work hard, …

“They Hurt Me Pauley:” Applying Queer Performance Theory Within L.B. Hamilton’S Play A Midnight Clear To Understand Gendered Violence And Prejudice Against Feminine Msm, Skyllar M. Schoening

Schultz-Werth Award Papers

This essay uses the theoretical lens of queer performance theory to analyze L.B. Hamilton’s play, A Midnight Clear, to increase awareness of gendered violence and prejudice against feminine men-seeking-men (MSM). I first contextualize existing literature about sexual assault and the limited research about feminine men regarding sexual violence and assault. Then, I examine the components of queer performance theory, positing a metaphorical equation of combining both queer theory and performance theory to further understand the roots of queer performance theory. In this section, I also suggest the importance of representation and identity within a dramaturgical and theatrical-based lens from both …

College Of Natural Sciences 2022 Year-End Publication, College Of Natural Sciences

College of Natural Sciences Newsletters and Reports

This is the 2022 issue of the annual College of Natural Sciences year-end publication.

Contents:
[Page] 2 Dean's message
[Page] 3 Department highlights
[Page] 4 Overview of Bold & Blue Campaign
[Page] 5 Dr. Edward Hogan recognition & endowment
[Page] 6 Career milestones
[Page] 7 Student travel and research
[Page] 8 $11 million COBRE grant
[Page] 9 Professional Science Masters & Research highlights
[Page]10 Outreach highlights throughout the state
[Page] 11 2022 events recap – join us in 2023!
[Page] 12 Updates on our VR initiative
[Page] 14 Overview of awards and recognitions from 2022

The Role Of Carbon Credits On Farmers’ Adoption Of Climate-Smart Practices In South Dakota, Stephen Cheye

Electronic Theses and Dissertations

Net-zero pledges and carbon credit systems have gained momentum due to the growing urgency to address climate change and limit global warming to below 2°C above preindustrial levels. Agricultural carbon credits can be a potentially win-win mechanism by providing extra income for farmers while helping to reduce greenhouse gas emissions. Nevertheless, there is a paucity of understanding about farmers’ willingness to accept carbon credit incentives and adopt climate-smart practices that sequester carbon. To address this, we analyzed 309 responses from a South Dakota producer survey conducted in 2021. We estimated probit and interval regression models to ascertain the level of …

Evaluation Of Low-Cost Radiometer For Surface Reflectance Re-Trieval And Orbital Sensor’S Validation, Dinithi Siriwardana Pathiranage

Electronic Theses and Dissertations

This paper evaluates the Arable Mark 2 sensor, an automated and low-cost radiometer, for its potential to retrieve surface reflectance data and validate orbital sensors such as the Landsat-8 (L8) Operational Land Imager (OLI) Level 2 product. While orbital sensors are widely used for monitoring solar radiation changes, managing natural resources, and understanding climatic trends, atmospheric effects can make it challenging to obtain accurate measurements. Equipped with multiple sensors, including long-wave and short-wave radiometers, the Arable Mark 2 sensor can measure upwelling and downwelling irradiance to calculate surface reflectance. To assess the accuracy and consistency of the Arable Mark 2 …

The Development Of Dark Hyperspectral Absolute Calibration Model Using Extended Pseudo Invariant Calibration Sites At A Global Scale: Dark Epics-Global, Padam Bahadur Karki

Electronic Theses and Dissertations

This research aimed to develop a novel dark hyperspectral absolute calibration (DAHAC) model using stable dark targets of "Global Cluster - 36" (GC-36), one of the clusters from "300 Class Global Classification." The stable dark sites were identified from GC-36 called "Dark EPICS-Global" covering the surface types viz; dark rock, volcanic area, and dark sand. The Dark EPICS-Global shows a temporal variation of 0.02 unit reflectance. This work uses the Landsat-8 (L8) Operational Land Imager (OLI) , Sentinel-2A (S2A) Multispectral Instrument (MSI) , and Earth Observing One (EO-1) Hyperion data for the DAHAC model development, where well-calibrated L8 and S2A …

Theoretical Motivations For Posting In #Metoo, Shannon Pappas

Electronic Theses and Dissertations

In 2017, actress Alyssa Milano shared a tweet encouraging survivors of gendered violence to write “me too.” A media storm ensued as survivors answered her call in the millions. Anyone can look back at what survivors posted during the height of #MeToo, but we still don’t know why they felt the need to post in the first place. To answer this question, the social identity model of deindividuation effects and spiral of silence were utilized. The social identification, perceived anonymity affordances, and willingness to self-censor scales were used for this research, along with a perceived deindividuation scale that was created …

Comparison Of Self-Reported Depression And Anxiety Scores Between U.S. Households With And Without Children At Early And Later Stages Of The Covid-19 Pandemic, Hanan Mohammed Eissa Jamali

Electronic Theses and Dissertations

Parents in particular, are disproportionately affected by the 2019 coronavirus pandemic and the lockdowns that followed. Parents had to find a way to balance work, teaching, and taking care of their kids when schools were forced to close for safety reasons. While changes in parents' mental health have been the subject of a number of studies, there have been no studies comparing the level of depression and anxiety experienced by parents with and without children below the age of 18 years in the United States. Data for this study came from Households Pulse Survey (HPS) (week 2 N = 41,996; …

Feasibility Of Earthships As Sustainable Homes In Brookings County, South Dakota, Whitney Sunkwah Yeboah

Electronic Theses and Dissertations

Addressing the issue of housing deficit while providing affordable and sustainable homes is a significant problem in the United States today. This has prompted architects to design homes with less adverse environmental impacts despite their affordability, hence the birth of sustainable housing. Earthships are sustainable homes built from recycled materials, utilize solar or wind energy, and function as self-sufficient units. The study's main aim is to assess residents' perceptions of earthships and their willingness to adopt earthships in Brookings County, South Dakota. The research employs online surveys to garner data from residents, and data are analyzed using mixed methods. Results …

Impact Of Covid-19 Relief Packages On U.S. Household Food Security And Food Expenditure, Bridget Yeboah Bafowaa

Electronic Theses and Dissertations

The COVID-19 pandemic led to changes in consumer shopping habits, including food expenditures. The pandemic induced changes in food expenditure patterns, food accessibility, and declining household income contributed to increased food insecurity during the pandemic. The objective of this study is to examine the impact of COVID-19- related relief packages on food security and food expenditures. The effect of Economic Impact Payments, P-EBT, SNAP, and free food will be considered. Using data from the Household Pulse Survey (HPS), a total sample of 1,899,929 households were analyzed in this study. The HPS is a nationally representative survey structured to produce data …

Firm-Level Political Risk And Corporate R&D Investment, Emmanuel Boah

Electronic Theses and Dissertations

I examine how firms make R&D investment decisions during periods of political uncertainty. To minimize stickiness and overly generalized assumptions, I employ quarterly data. I find that firms invest more in R&D when facing high levels of political risk. The results suggest that this positive relationship between political risk and R&D investment is more pronounced for competitive and politically sensitive firms. Additionally, the positive association is evident among firms with higher growth opportunities and more liquid assets. The results are robust to the test for correlation, addressing endogeneity, and alternative proxies adopted for the variables of interest. Overall, the findings …

Adaptive Learning Gain In Asset Pricing, Sedealy Juste Lokossou

Electronic Theses and Dissertations

This paper delves into the complexities of asset pricing, emphasizing the need to go beyond prevailing paradigms and constant learning gain assumptions. We examine the influence of personal experiences, adaptive learning processes, and subjective return expectations on asset pricing. By incorporating the concept of time-varying learning gain, we provide a more realistic portrayal of asset pricing. Empirical analysis reveals a consistent negative correlation between experienced real payout growth and subsequent returns, indicating counter-cyclical behavior. Our findings also support the mean-reversion hypothesis in stock returns, although caution is needed due to some scenarios lacking statistical significance. Theoretical exploration uncovers that higher …

The Impact Of Cluster Strength On Wages: An Empirical Analysis, Devan Schaefer

Electronic Theses and Dissertations

In this thesis, I examine the relationship between clusters (i.e., the grouping of competitive, interconnected industries within a geographical area) and wages, building upon the work of Marshall (1890) and Porter (2003) on the importance of clusters for regional economic development. I seek to answer two research questions. First, after accounting for robustness tests, do clusters continue to affect wages positively? Second, is labor force productivity the only channel through which this relationship occurs? In my analysis, I employ ordinary least squares, two-stage least squares, and fixed effects regression analyses using panel data from 2009 to 2014 for every U.S. …