Negative / Null Result ReportSocial Sciences
Gayle Jansen Brisbane, Patrick Ferrucci, Edson C. Tandoc · 2021 · Communication & Sport
Women are more visible than ever in sports media. Yet, extant research has shown that females have endured an array of issues exclusive to their gender. Consistent research updates on gender in sports media is necessary in order to…
View details →Negative / Null Result ReportOpen accessSocial Sciences
Syed Imran Ali, Morgan C. MacDonald, J. Jincy et al. · 2011 · Journal of Water Sanitation and Hygiene for Development
This study investigated the efficacy of a POU water treatment system featuring sari-cloth filtration and/or Moringa oleifera coagulation as pre-treatments for solar disinfection (SODIS). Surface water from a peri-urban slum in Chennai,…
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Roddy Theobald, Zeyu Xu, Allison F. Gilmour et al. · 2025 · Educational Evaluation and Policy Analysis
We study the impact of a bonus policy in Hawai‘i Public Schools that raised the salaries of all special education teachers by $10,000. We estimate that this policy reduced the proportion of vacant special education teaching positions…
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Untung Rahardja · 2025 · Journal of Digital Market and Digital Currency.
This study investigates the effectiveness of various digital marketing campaign types—Awareness, Conversion, and Retention—on conversion rates and engagement levels. Using a dataset of 8,000 records, we conducted a comprehensive analysis through ANOVA, Chi-Square tests, and OLS regression to understand the impact of these campaign types. The ANOVA results indicated no significant differences in conversion rates across the campaign types, with an F-statistic of 0.4752 and a p-value of 0.6218. Similarly, the analysis for engagement levels, measured by website visits, yielded an F-statistic of 0.
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Tyler Colasante, Katie Faulkner, Dana Kharbotli et al. · 2024 · Affective Science
Abstract Public discourse and empirical studies have predominantly focused on the negative repercussions of social media on adolescents’ mental health. However, pervasive social media use is a relatively new phenomenon—its apparent harms have been widely accepted before sufficient longitudinal and experimental research has been conducted. The present study used an intensive longitudinal design (four assessments/day × 14 days; N = 154 12- to 15-year-olds ( M age = 13.47, SD = 0.58); N = 6,240 valid measurement occasions) to test the directionality of social media–negative emotion links in early
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Elizabeth Taylor, Kelsey C. Hewitt, Robert A. Reeves et al. · 2013 · Procedia Technology
Previously, in the field to solve complex problems, we had found that majority rule (MR) decision-making out-performed consensus rule (CR) by making decisions that were quicker, more practical, and of better quality. This is an important…
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Junhua Dang, Zeynep E. Ekim, Sarah Ohlsson et al. · 2020 · BMC Psychology
BACKGROUND: Previous studies showed that anger, rather than sadness, created automatic intergroup bias in a minimal group context. METHODS: The current research reports a single study (N = 99) aiming to replicate this finding and further to test whether the intergroup bias manifests as ingroup favoritism, outgroup derogation, or both. RESULTS: Our results failed to replicate the effect of anger on automatic bias. Intriguingly, participants across all emotion conditions exhibited high level of ingroup favoritism, but there was little evidence of outgroup derogation. CONCLUSION: These results su
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Amy Nivette, Christof Nägel, Emily Gilbert · 2023 · Police Practice and Research
High-profile incidents of police misconduct can have serious consequences for public trust in the police. A recent study in the British Journal of Political Science found that Eric Garner’s death in NYC lead to more negative attitudes towards the police in London among Black residents compared to White and Asian residents. The current study aimed to replicate this transnational effect by assessing the impact of George Floyd’s death on Londoners’ perceptions of police. Using the same data and methodological approach, we did not replicate the immediate effect on Black Londoners’ attitudes. We di
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Guy Assaker, Vincenzo Esposito Vinzi, Peter O’Connor · 2011 · Tourism and Hospitality Research
This study provides insights into a powerful statistical technique to test model invariance across multiple groups. In doing so, it provides insights for policymakers and contributes to the literature on tourism demand forecasting by…
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Jinbiao Huo, Ziyuan Gu, Zhiyuan Liu et al. · 2025 · Transportation Science
This study focuses on simulation-based optimization (SBO) in transportation systems considering the pervasive and influential heteroscedastic noise. Existing studies rarely consider the effects of such heteroscedasticity on the solution…
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Feride Acar · 2015 · Procedia - Social and Behavioral Sciences
Extant research shows that female managers face significant hurdles in the attainment of top level positions in IT organizations. Recently there have been some examples to women breaking through the glass ceiling to reach to higher…
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Muhammad Haziq Saharuddin, M. Khalid M. Nasir, Muhammad Sofwan Mahmud · 2025 · International Journal of Learning Teaching and Educational Research
Technological pedagogical content knowledge (TPACK) is a theory that describes the knowledge and skills required by a teacher to integrate technology into their teaching. This study aimed to identify the level of TPACK among primary school…
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Qian Xu, Shi Chen, Lida Safarnejad · 2020 · Health Communication
By taking the 2016 Zika outbreak as a case study, this research examines how information veracity (true information vs. misinformation) interacted with message frames to influence the dissemination of information about Zika through retweet…
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Giovanna M. Invernizzi, Ahmed Ezzeldin Mohamed · 2022 · Journal of Experimental Political Science
Abstract How does exposure to conspiracy theories affects voters’ political attitudes? Using an online experiment among US subjects, we show that exposure to conspiracy theories decreases voters’ trust in the domestic informational…
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Sofience · 2026 · Zenodo (CERN European Organization for Nuclear Research)
This record provides SΔϕ-65 — Slop as Externalized Restabilization Cost: AI Slop, Human Slop, Authority Pollution, and the Cost of Re-entry (v1.0). SΔϕ-65 defines Slop not by whether it is produced by AI or humans, but by whether low execution or production cost externalizes high verification, rebuttal, correction, interpretation, cleanup, and restabilization cost onto others. The central proposition of this document is: Slop is not defined by the producer. Slop is defined by a cost asymmetry: low execution TCC on the producer side, high restabilization TCC on the receiver, platform, expert, p
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Ali Derakhshan, Gurpinder Singh Lalli, Yujong Park · 2026 · Language Testing in Asia
While Artificial Intelligence (AI) has significantly transformed L2 testing and assessment, empirical research into how EFL practitioners perceive the specific opportunities and challenges of these tools remains limited. To address this…
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Ivana Vranješ, Tinne Vander Elst, Yannick Griep et al. · 2022 · Group & Organization Management
In this study, we investigated whether and how perpetrators of bullying become targets themselves. Building on the notion of bullying as an escalation process and the Conservation of Resources Theory, we hypothesized that following enactment of bullying, people would experience increased relationship conflicts with colleagues, diminishing their sense of control and making them more likely to become exposed to bullying themselves. We tested this idea using longitudinal sequential mediated Structural Equation Modelling in a sample of 1420 Belgian workers. Our results confirmed that enactment of
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Shaofeng Wang, Hao Zhang · 2026 · International Journal of Educational Technology in Higher Education
Abstract The rapid integration of generative artificial intelligence (GenAI) into higher education has precipitated a critical tension between the pursuit of efficiency and the imperative for deep, transformative learning. While GenAI offers unprecedented speed in knowledge processing, it raises concerns that efficiency-driven motivations may erode the cognitive struggle essential for intellectual growth. This study investigates how Human-GenAI pedagogical partnerships influence transformative learning through the dual cognitive pathways of vigilance and offloading, moderated by efficiency ori
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Jessica A. Blayney, Matthew D. Scalco, Sharon Radomski et al. · 2019 · Psychology of Addictive Behaviors
= 480; 61% female) reported on their alcohol and drug use behaviors across 5 time points spanning 1 calendar year. For many, this year included the transition out of college. Latent growth curve analysis was used to determine whether…
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Paul A. Djupe, Amanda Friesen, Andrew R. Lewis et al. · 2025 · Political Behavior
Abstract A proliferation of religion variables presents opportunities for those studying religion and politics in the U.S. However, many studies in this growing subfield demonstrate the pitfalls of reporting the “independent” effects of variables without qualification. This is especially evident in work on Christian nationalism where researchers often make the claim that worship attendance promotes more pro-social or liberal outcomes, while Christian nationalism promotes more conservative and less pro-social outcomes. We demonstrate that this finding—and others like it—represents a new version
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Mohammad Hadra, Karleen Cambridge, Mostefa Mesbah · 2026 · International Journal for Educational Integrity
The rapid adoption of generative AI (GenAI) in higher education has intensified concerns about academic integrity, particularly for institutions serving English as a Foreign Language (EFL) learners. AI content detectors such as Turnitin…
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Ihsen Abid · 2025 · International Journal of Sustainable Development and Planning
This study investigates the drivers of labor force participation and GDP growth in the Gulf Cooperation Council (GCC) region from 1990 to 2023, emphasizing the roles of youth employment, urbanization, export performance, and foreign direct investment (FDI).Using the Arellano-Bond dynamic panel data estimation method, the study models interdependent relationships between labor force participation, GDP growth, and key macroeconomic indicators while addressing endogeneity and dynamic feedback effects.The analysis reveals that lagged labor force participation has a strong positive and highly signi
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Sami Saeed Binyamin · 2026 · Edinburgh Napier Research Repository (Edinburgh Napier University)
Learning management systems (LMS), which allow education at the student’s choice of place and time, have been widely adopted in higher education worldwide. In the case of Saudi Arabia, LMS have been recently introduced in Saudi…
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Jo Pearson, Itiel E. Dror, Emma Jayes et al. · 2026 · Scientific Reports
The use of Artificial Intelligence (AI) to effectively support human decision making depends on whether humans are willing to trust in, and thus rely on, AI. Understanding human reliance on AI is critical given controversial reports of AI inaccuracy and bias. Furthermore, the erroneous belief that using technology removes biases may lead to overreliance on AI. To examine humans’ reliance on AI, human participants (N = 295, Mage = 33.79) judged the authenticity of 80 faces (40 real, 40 AI-synthesized) presented alongside guidance supposedly from humans or from AI. This guidance was correct only
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Matěj Opatrný, Tomáš Havránek, Zuzana Iršová et al. · 2025 · Journal of Labor Economics
Class size reduction mandates are frequent and invariably justified by studies reporting positive effects on student achievement. Yet other studies report no effects, and the literature as a whole awaits correction for potential…
View details →Replication FailureOpen accessSocial Sciences
Cristina Expósito-Álvarez, Manuel Roldán-Pardo, Gail Gilchrist et al. · 2024 · Psychosocial Intervention
Objective: Intimate partner violence (IPV) perpetrators with alcohol and/or other drug use problems (ADUPs) have been identified as one of the main high-risk and highly resistant groups of perpetrators requiring special attention in…
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John M. Carey, Brian J. Fogarty, Marília Gehrke et al. · 2025 · Science Advances
We investigate how to counter misinformation about voter and election fraud using data from the US and Brazil. Our study first compares two types of messages countering claims of widespread fraud: (i) retrospective corrections from…
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Janet Quint, Pei Zhu, Rekha Balu et al. · 2015 · SSRN Electronic Journal
Success for All (SFA) combines a challenging elementary reading program, whole-school reform elements, and an emphasis on continuous improvement. In 2010, the Success for All Foundation (SFAF) received a scale-up grant under the U.S.…
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Lewend Mayiwar, Linda Lai · 2019 · Social Psychology
Abstract. We performed an independent, direct, and better powered ( N = 295) replication of Study 1, an experiment ( N = 113) by Lammers, Stoker, and Stapel (2009) . Lammers and colleagues distinguished between social power (influence over…
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Ninggui Duan, Lina Li, Guangbo Lin et al. · 2026 · Scientific Reports
The rapid advancement of artificial intelligence (AI) has reshaped the employment market, triggering widespread anxiety among college students about their future careers and posing a potential threat to their career decisions. Grounded in…
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