14234 research outputs found
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Personality and Contextualized Experiences (PACE) Study
No full textThe PACE Study examines how individuals differ in the ways their experiences and behaviors change over time and across different situations in everyday life. To this end, the experience-sampling method (ESM) is used with two different sampling schedules based on the condition to which participants are randomly assigned. In Condition 1, they receive 8 short surveys per day for 14 days. In Condition 2, they receive 4 short surveys per day for 28 days. Additionally, participants are asked to complete a baseline survey before and a follow-up survey after the ESM part of the study.
The data collection started in September 2024 and will finish in March 2026
WiLMo
No full textDas Ministerium für Kultur und Wissenschaft des Landes Nordrhein-Westfalen unterstützt gemeinsam mit der Digitalen Hochschule NRW im Rahmen der Förderlinie OERContent.nrw Hochschulen bei der Erstellung digitaler Lehrmaterialien. Im Projekt Wirtschaftsinformatik Lehr- und Lernmodule (WiLMo) entwickeln sechs Hochschulen unter der Leitung der FH Aachen einheitliche digitale Lehr- und Lernmaterialien im Bereich der Wirtschaftsinformatik. Die digitalen Lehrmaterialien werden als Open Educational Resources erstellt und über das Online-Landesportal ORCA.nrw (Open Resources Campus NRW) sowie weitere Plattformen bereitgestellt, so dass sie für jedermann frei zugänglich sind - sei es für das Selbststudium oder für den Einsatz in der Lehre
Leveraging Digital Mobility Data to Estimate Visitation in National Wildlife Refuges
No full textThe US Fish and Wildlife Service (USFWS) manages over 560 National Wildlife Refuges and dozens of National Fish Hatcheries across the United States. Accurately estimating visitor numbers to these areas is essential for understanding current recreation demand, planning for future use, and ensuring the ongoing protection of the ecosystems that refuges safeguard. However, accurately estimating visitation across the entire refuge system presents significant challenges. Building on previous research conducted on other federal lands, this study evaluates methods to overcome constraints in estimating visitation levels using statistical models and digital mobility data. We develop and test a visitation modeling approach using multiple linear regression, incorporating predictors from eight mobility data sources, including four social media platforms, one community science platform, and three mobile device location datasets from two commercial vendors. We find that the total number of observed visitors to refuges correlates with the volume of data from each mobility data source. However, neither social media nor mobile device location data alone provide reliable proxies for visitation due to inconsistent relationships with observed visitation; these relationships vary by data source, refuge, and time. Our results demonstrate that a visitation model integrating multiple mobility datasets accounts for this variability and outperforms models based on individual mobility datasets. We find that a refuge-level effect is the single most important predictor, suggesting that including site characteristics in future models will make them more generalizable. We conclude that statistical models which incorporate digital mobility data have the potential to improve the accuracy of visitor estimates, standardize data collection methods, and simplify the estimation process for agency staff
Conceptualization and Measurement of Socioeconomic Status Variables in Psychological Research: A Scoping Review
No full textReducing Burden in Care Partners of Community-Dwelling Persons with Dementia and Oropharyngeal Dysphagia Pilot RCT
No full textGuided by a self-regulation theoretical framework, the Web-based Care Partner Tool for Feeding in Dysphagia (WeCareToFeedDysphagia) will use written and video content, care-partner testimonials, frequently asked questions, and resource links to provide accurate information (e.g., dysphagia diets), set realistic expectations, identify/support feeding goals (Quality of Life considerations), acknowledge/support care-partner feelings, and provide competencies/skills for oropharyngeal dysphagia management. We will pilot test WeCareToFeedDysphagia and determine the feasibility of a subsequent full-scale RCT
Expanding the Computational Capabilities of Guided Search with a Multidimensional Scaling “Plug-In”
No full textThe Dark Side of the Internet
No full textFueling Misinformation in the COVID-19 Pandemic and the 2020 US Presidential Electio