Social and Behavioral Sciences Commons^™

Notice, Respond, Observe, Adjust: Everyday Co-Regulation With Infants And Toddlers, Tony Kung

Spark! Innovations in Early Childhood Education: A Research-to-Practice Journal for Educators

Co-regulation is central to infants’ and toddlers’ developing emotional regulation, yet educators often need to make responsive decisions in real time during everyday classroom routines. This research-to-practice article translates developmental and early childhood research into a practical four-part reflection guide: Notice, Respond, Observe, and Adjust. The article examines how educators can attend to children’s gestures, movements, vocalizations, and participation when supporting arrival and separation, caregiving routines, play, and peer encounters. It emphasizes responsive support that adapts to children’s individual communication, developmental needs, family knowledge, and classroom context. Drawing on recent empirical research and published educator observations, the article offers practical …

B3 Research Guides: A Utrgv Library/Obi Collaboration, Charles Roush, Carlton Nelson, Andrés R. Amado, Andrew Portner

Bilingualism in Higher Ed Summit

No abstract provided.

Exploring Media Students’ Engagement With Digital Libraries And Cognitive Outcomes, Hussein Mohammed, Abd Al-Salam Al-Samarrai, Tayba Tawfiq

The study examines the use of digital libraries by media students in Iraq for academic and reference purposes. It focuses on digital libraries available through the applications Facebook and Telegram that specialize in communication and media sciences. The research sample consists of randomly selected students from various media departments, including Radio and Television, Public Relations, and Journalism.

The study adopts the descriptive method, which is one of the most used approaches in media research, to measure the extent to which media students use digital libraries on Facebook and, Telegram and to identify the cognitive gratifications achieved through this use. The …

The Factors Affecting The Adherence Of Palestinian Journalists Working In Electronic Journalism To Professional Ethics "A Field Study", Ahmad Al Sallaq, Thaer Al-Sharif

The current study aims to identify the factors influencing the adherence of Palestinian journalists working in electronic journalism to professional ethics, and the most significant challenges that hinder their adherence.

The study is descriptive, employing a survey methodology. It utilizes a questionnaire administered to a simple random sample of (120) Palestinian journalists.

The study yielded several key findings, most notably: that the most significant factor influencing the adherence of Palestinian journalists working in electronic journalism to professional ethics is "societal customs and traditions," with a relative weight of (78.3). Furthermore, the study found that "the Israeli occupation" ranked first among …

Audience Discernment Of Ai-Generated Media Content: A Systematic Review, Safaa Al-Abrawi

Despite the growing prevalence of AI-generated content in the media industry, media research has largely focused on specific aspects, such as measuring communicators' attitudes and perceptions toward the use of this emerging technology. Research examining audiences and their ability to discern AI-generated content remains limited. Accordingly, this study aims to examine audiences' ability to discern AI-generated media content. The study employs a systematic review methodology, reviewing 19 studies based on clearly defined inclusion and exclusion criteria within the Participants, Concept, and Context (PCC) framework.

The study identified several key findings. Most notably, audiences can distinguish AI-generated content through a range …

Journalists' Trends Towards Employing Artificial Intelligence Tools In Media Content Production, Kifaya Al-Mousa

This study aimed to identify Jordanian journalists’ attitudes toward employing artificial intelligence tools in media content production, examine the extent to which these tools are used, identify the main factors limiting their adoption, and explore the perceived benefits and concerns associated with their use in journalistic work. The study adopted a descriptive-analytical approach and employed a questionnaire administered to a random sample of 306 Jordanian journalists who are members of the Jordan Press Association. The findings showed that 57.9% of the respondents did not use artificial intelligence tools in producing media content, compared with 41.8% who reported using them. The …

Awareness Of Media Students In Jordan Regarding The Ethical Dimensions Of Employing Artificial Intelligence Tools In University Education, Saddam Al-Mashaqbeh, Rasha Salameh, Hani Ahmad Fayez Al-Badri Dr.

This study examined the level of awareness among media students in Jordan regarding the ethical dimensions of employing artificial intelligence tools in university education. The study explored students’ patterns of AI usage and measured their cognitive, emotional, and behavioral awareness associated with the ethical and academic use of artificial intelligence. The growing use of artificial intelligence tools in university education has raised ethical and academic concerns related to academic integrity, proper documentation, and responsible use of AI-generated content. It also aimed to identify the extent to which students adhere to academic integrity and proper documentation practices when using AI tools …

The Role Of Social Media Influencers In Shaping Food Awareness And Dietary Behavior Among The Emirati Audience: A Field Study On Citizens Of Al Ain City, Laila Alkaabi, Huda Alremeithi, Reem Alnuaimi, Shamsa Almheiri, Amer Khaled Ahmad, Maram Manajrah

This study aims to investigate the role of social media influencers in shaping food awareness and dietary behavior among the Emirati audience, drawing on media dependence theory and employing a public survey methodology through the administration of a questionnaire to a purposive sample of Emirati citizens in Al Ain City who follow influencers to obtain information on healthy nutrition. The findings revealed that more than (79.3%) of the sample members rely on social media influencers to obtain information on healthy nutrition at a moderate-to-high degree, with "the ease of rapid access to food-related information" emerging as the leading reason for …

Beyond The Screen: Dimensions Of Ecophilia In Snow White And The Seven Dwarfs (1937) And Children’S Awareness Of Them, Reham Refaat Mohammad Abdelaal Prof

This study aimed to explore the dimensions of Ecophilia in the film Snow White and the Seven Dwarfs and examine the extent to which children perceive these dimensions of love for nature and the environment. The study focused specifically on Biophilia (love of living beings) and Topophilia (love of a particular place or environment) from the perspective of ecocriticism, employing an interdisciplinary approach that integrates ecology, environmental animation, cinema, media studies, and environmental education.

The research was conducted on a sample of 100 boys and girls aged between 6 and 12 years, as children within this age group possess the …

The Role Of Public Relations At Jawwal Palestine Telecommunications Company In Customer Relationship Management And Its Impact On Competitive Advantage From The Customers’ Perspective, Ibrahim Akka, Reham Snobaer

This study aimed to examine the role of public relations in customer relationship management (CRM) and its impact on achieving competitive advantage at Jawwal Palestinian Telecommunications Company from the perspective of its customers in the West Bank. The study adopted a descriptive-analytical approach and utilized a questionnaire as the main data collection tool, distributed to a convenience sample of (400) Jawwal customers.

The study addressed five CRM dimensions practiced by public relations: information sharing, customer engagement, long-term partnership, customer participation in problem-solving, and the use of technology. The findings revealed a statistically significant positive impact of public relations’ role in …

The Mediation Role Of Teacher Engagement In The Relationship Between Teacher Self-Efficacy And The Implementation Of Universal Design For Learning (Udl) In Inclusive Primary School, Dea Karlina, Farida Kurniawati

Psychological Research on Urban Society

The number of students with diverse characteristics in primary education is increasing, Its challenging teachers to design learning experiences that accommodate the diverse needs of students. Universal Design for Learning (UDL) is a flexible learning framework accessible to all students, aiming to reduce learning barriers by providing multiple means of engagement, representation, and action/expression. This study adopts the Job Demand-Resource (JDR) framework, specifically the motivational process, assuming that teacher self-efficacy as the personal resource influences UDL practices through the mediation of teacher engagement. This correlational quantitative study involved 318 inclusive primary school teachers across Indonesia who completed a self-report questionnaire. …

The Price Of Exception: A Review Of Ekta Chauhan’S Sheher Mein Gaon, Manish .

Journal of Law and Public Policy

This review of Sheher Mein Gaon: Culture, Conflict and Change in the Urban Villages of Delhi uses the Master Plan for Delhi 2021 and the National Capital Territory of Delhi Laws (Special Provisions) Act (hereafter ‘Special Provisions Act’) to argue that the conditions described in the book are a direct result from the whole-scale exemption provided to Delhi's urban villages from urban planning frameworks. The reviewer finds that Ekta Chauhan’s new book provides a valuable addition to the existing body of work on Delhi, especially the urban village, which is under-represented in this corpus. The book manages to highlight the …

Fear And Loathing In Political Social Media: Online Discourse Ahead Of The 206 U.S. Midterms, Yi Luo, Bond Benton, Jin-A Choi

College of Communication and Media Scholarship and Creative Works

This study examines online discourse surrounding the 2026 U.S. midterm elections to identify which political actors received the greatest visibility, what emotions characterized election-related conversations, and how sentiment developed within partisan online spaces. Using data collected through Brandwatch and Tweet Binder, the analysis draws on more than 1.69 million online mentions and a sample of 35,000 X posts between September and October 2026. Findings indicate that Trump- and Republican-related narratives dominated online visibility, accounting for substantially more discussion than Democratic-related content. However, heightened visibility did not correspond with positive sentiment. Fear emerged as the predominant emotional response, representing over half …

Florida Housing Markets Price Reversal: A Comparative Analysis Of The Florida Insurance Crisis And Housing Market Decoupling (2022-2025), David Antonetti

Empirical Economic Bulletin, An Undergraduate Journal

This research investigates the 2022-2025 Insurance Crisis in Florida as a localized shock to the housing market. While national home prices typically track federal interest rate trends, this study utilizes a Difference-in-Differences (DiD) framework, using Georgia as a control benchmark, to quantify the extent to which skyrocketing property insurance premiums have decoupled Florida's home price appreciation from the national mortgage rate environment. The paper finds that despite the separation in premiums did not have a significant impact on the change in HPI in the Florida housing markets, but did represent a simmer risk. This paper also uses the key factors …

A Causal Analysis Between Brent Oil Prices And Economic Growth In Saudi Arabia, Nicholas Hyland

Empirical Economic Bulletin, An Undergraduate Journal

This paper aims to examine the predictive relationship between oil prices and economic growth in Saudi Arabia. Given the country’s heavy dependence on oil rents as a percentage of their GDP, we will see how fluctuations in oil prices can heavily shape and influence economic performance. Although oil revenues have proven to be a driver of short-term economic growth, it is important to understand the “Oil Curse Theory” which highlights the risks that can be associated with slowed long-term economic growth. Using time series data on real GDP growth and Brent crude oil prices, this paper will contain a predictive …

Government Revenue And Expenditure Impact On U.S. Income Inequality Vs Europe And Asia, Ryan Murphy

Empirical Economic Bulletin, An Undergraduate Journal

This paper examines income inequality in the United States compared to Europe and Asia using a comparative economic model that incorporates real GDP, government expenditure, population growth, and trade openness as a percentage of GDP. By analyzing how these macroeconomic factors relate to income outcomes across countries, the study aims to highlight structural and policy-related differences that may help explain observed disparities in income inequality between the two economies. The model provides a framework for understanding how economic growth, public spending priorities, demographic trends, and integration into global trade can influence income distribution. The findings contribute to a broader discussion …

Sustainable Transportation And Technology Linked To Carbon Emissions: A Cross-Sectional Data Analysis, Adam Skinner

Empirical Economic Bulletin, An Undergraduate Journal

This paper investigates the extent to which sustainable transportation variables reduce CO₂ emissions across the United States, using cross-sectional data from the fifty states in the year 2021. To examine the impact of green transportation linked with carbon emissions, this paper uses an empirical model to investigate various factors such as EVs per 1,000 people, average fuel prices, GDP per capita, and population. This analysis will compare states with different levels of sustainable transportation and be able to evaluate whether green transportation is effective with lower emissions using an ordinary least squares model. Additionally, this study includes machine learning to …

Determinants Of Inflation In The Eurozone: Evidence From Germany, Spain, And Greece Using Panel Data And Machine Learning, Cailan Steahle

Empirical Economic Bulletin, An Undergraduate Journal

This paper examines why inflation differs across Germany, Spain, and Greece despite all three countries operating under a common monetary policy set by the European Central Bank. While these countries share the same currency and interest rates, their inflation patterns have varied significantly over time. This study investigates whether countryspecific macroeconomic factors, such as GDP, unemployment, bond yields, energy prices, and money supply, helps explain these differences. Using panel data methods, the analysis estimates both fixed and random effects models and performs a Hausman test to determine the most appropriate specification. The results indicate that the fixed effects model is …

Measuring The Effects Of Housing Wealth, Oil Prices, And Determinants Of Consumption On Consumer Spending, Pedro Alordes Compres

Empirical Economic Bulletin, An Undergraduate Journal

This paper examines the possible effects of Housing Wealth, Oil Prices, Disposable Income, and other determinants of consumption on Consumer Spending in the United States, considering consumer spending is the final purpose of economic activity. The study will use determinants of household consumption in a multivariate time-series model to examine the changes over time in the previously mentioned independent variables. Additionally, Random Forest will be used as a Machine Learning Model to predict different outcomes in the same sector.

Determinants Of Free Throw Performance: An Empirical Analysis Of Game Context And Pressure, David Colantuoni

Empirical Economic Bulletin, An Undergraduate Journal

This paper analyzes the determinants of free-throw success using a panel data set of free throws taken from the years 2015-2016. Prior research has emphasized performance in high-pressure moments, while my study aims to evaluate a broader range of situational and contextual factors that influence free-throw outcomes. Specifically, I estimate the effect of time remaining, score margin, game period, home status, playoff intensity, shot order, and player-specific characteristics on the probability of a free throw. Additionally, a clutch indicator is included to assess whether performance systematically changes in highleverage situations, clutch being defined as the last five minutes of the …

Empirical Research Paper: The Commodity Markets’ Role On Gross Domestic Product In The United States, Fabian Cuprys

Empirical Economic Bulletin, An Undergraduate Journal

This paper discusses whether the commodity market has descriptive information for short term Gross Domestic Product within the United States. Using quarterly Federal Reserve Economic Data (FRED), the model uses distributed log changes in commodity prices such as energy, food, and industrial inputs alongside logged and market-based expectations for GDP. The model evaluates how fluctuations in broad commodity markets (such as the Broad Commodity Index, Food Commodity Index, Metal Commodity Index, and Energy Commodity Index) influence GDP.

Public Government Spending And Economic Growth In Latin America And The Caribbean, Kate Desousa

Empirical Economic Bulletin, An Undergraduate Journal

This paper investigates how government public spending impacts economic growth among multiple Latin American and Caribbean countries of varying developments since the 1990’s. The study incorporates variables including GDP per capita and general government final consumption expenditure to analyze their contributions to the economy. Data was collected from the World Bank Group. Previous empirical studies have looked at developed countries including multiple variables, while this study has a focus on economies of varying sizes and investigates government public spendings independently. This study will add to existing literature by inspecting public spending from a micro view at the public government spending …

A Panel Data Study Of Economic Development And Carbon Emissions Vs. Level Of Green Investment, Connor Lavoie

Empirical Economic Bulletin, An Undergraduate Journal

This study examined the relationship between economic development and carbon dioxide emissions across 15 emerging nations from 2000 to 2024, employing a fixed effects panel data set within the STIRPAT framework, then verified the legitimacy of the result via a 5-model sequential test. The findings confirm that all 15 sampled nations remain on the upward slope of the Environmental Kuznets Curve (EKC), with GDP per capita, population, and energy intensity emerging as the three dominant drivers of emissions growth.

Who Hunts In America?: An Empirical Analysis Of Income Trends And The Rural-Urban Divide In Hunting Participation, Kenneth Green

Empirical Economic Bulletin, An Undergraduate Journal

This paper conducts an empirical analysis of hunting participation in the United States, focusing on the relationship between household income, geographic location, and gender. Using nationally available data from the U.S. Fish and Wildlife Service’s 2022 National Survey of Fishing, Hunting, and Wildlife-Associated Recreation and the Big-Game Hunters: Demographic Characteristics and Expenditures addendum report, this study looks to examine how hunting behavior differs between rural/urban populations and identifies income-based trends within both groups. Hunting participation data is compared against U.S. Census data to assess whether the share of hunters aligns with the broader population distributions. Both descriptive statistics and regression …

The Impact Of Foreign Direct Investment On Economic Growth In Eastern Europe: A Panel Data Analysis Evidence Of Consumer Expenditure, Tyler Jarvis

Empirical Economic Bulletin, An Undergraduate Journal

This research investigates whether foreign direct investment (FDI) translates into improved economic outcomes for citizens of Eastern European countries, as measured by household consumer expenditure trends from 1996 to 2025. Building upon the FDI stock and flow model developed by Kilmek (2024), this research replaces domestic value added (DVA) with consumer expenditure (CS) as the dependent variable and employs a two-way fixed effects panel model across 13 countries. The results indicate that FDI flows and FDI as a percentage of gross domestic product (GDP) have no statistically significant direct effect on consumer expenditure across any of the seven models tested. …

Does Rising National Income Reduce Physical Inactivity, Or Does The Prosperity Paradox Persist? A Panel Data Analysis, Jt Heffernan

Empirical Economic Bulletin, An Undergraduate Journal

This paper examines the relationship between national income and physical inactivity across nine countries at varying stages of economic development using a panel dataset spanning four time periods from 2001 to 2022. Drawing on age-standardized physical inactivity estimates from the World Health Organization and GDP per capita data from the World Bank world development indicators, three regression models are estimated: a pooled ordinary least squares model, a random effect model, and a two-way fixed-effects panel model incorporating country and year fixed effects. OLS was included to set a baseline on what to expect, while the panel models were intended to …

Determinants Of Us Housing Prices And Its Changing Market: A Panel Data Study, Timothy Jennings

Empirical Economic Bulletin, An Undergraduate Journal

This paper examines the effects that different factors have on prices in the housing market between both rental and total purchase of housing units over the last thirty (30) years. The study uses time series government data with time periods to analyze both major determinants of a current housing unit’s price, rental prices, as well as reasons for changes in prices of those retail/rental units over time. For simplicity purposes, all major analysis is limited to the United States’ housing markets, although inferences and conclusions may be made regarding other countries as well for comparison, especially through literature review. Results …

The Impact Of Urbanization On Life Expectancy In Asean Countries: A Panel Data Analysis, Ethan Kalmin

Empirical Economic Bulletin, An Undergraduate Journal

This paper investigates the relationship between urbanization and life expectancy in ASEAN countries using a panel data analysis over the period 2001-2023. The study includes fixed-effects and robustness checks to estimate the impact of urbanization— along with a series of control variables such as health expenditure per capita, access to basic sanitation services, government education expenditure per capita, and fertility rate— on life expectancy at birth. The results show that urbanization alone does not explain within-country changes in life expectancy over time. Rather, education expenditure and access to basic sanitation services emerge as the most significant and robust determinants of …

Effects Of Healthcare Quality On Labor Productivity: An Empirical Analysis Employing Panel Data, Theodore Lanzaro

Empirical Economic Bulletin, An Undergraduate Journal

This paper examines whether the Affordable Care Act’s restructuring of Medicare Advantage affected labor productivity in the United States. Using a state-level panel from 2007 to 2024, it estimates a difference-in-differences model that interacts with each state’s 2010 Medicare Advantage share with a post-reform indicator. Across baseline, controlled, and trendadjusted specifications, as well as event-study and robustness checks, the results show no statistically robust effect on state-level labor productivity. Any productivity spillovers from Medicare Advantage reform are too small, diffuse, or delayed to be detected in aggregate statelevel data.

Student Flows, Immigrant Stock, And Migration: An Empirical Analysis Of Brain Drain From Oecd Countries Into The Us, Tyler Nelson

Empirical Economic Bulletin, An Undergraduate Journal

This paper uses panel data from seventy-eight origin countries from 2012-2023 to better understand the migration patterns of well-educated individuals on a global scale. The study adopts a model from Dreher and Poutvaara that allows international student data to be translated into a linear utility function for any given emigration target. Due to data transparency concerns, these emigration targets have been limited to countries belonging to the Organization for Economic Cooperation and Development.