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Dataset results
19 results for “behavioral intention”
The theory of planned behavior and the prediction of pre-service biology teachers' intention to teach evolution
<p>We developed the project to identify and analyze variables that promote or hinder prospective biology teachers’ intentions to teach evolution. We adopted the model of the theory of planned behavior (TPB). We extended it to include additional variables described by teacher education research as key determinants of behavioral intention to teach evolution. We initially hypothesized that attitudes toward teaching evolution, subjective norms, perceived behavioral control, personal religious beliefs, perceived usefulness, and knowledge about evolution would determine a person’s behavioral intentions. To test the hypotheses, we developed an online questionnaire and conducted a quantitative cross-sectional survey in the field of teacher education. The data included information on <em>N</em> = 309 participants. Because we initially analyzed the data using a two-stage structural equation model (SEM), we uploaded two data files that were created in subprocesses of our original analyses (for more information, see the original publication). The dataset “data3” contains 77 variables and has missing values. Since we wanted to use complete data for the SEM, we trimmed the data set “data3” to include only the 67 variables necessary for the SEM, then applied an expectation-maximum (EM) algorithm with multiple imputations, and obtained the data set “data4”. </p>
A Service Robot in the Wild: Analysis of Users Intentions, Robot Behaviors, and Their Impact on the Interaction
<p>This file contains human-robot interaction data acquired during an experiment conducted at the University of Applied Sciences and Arts of Southern Switzerland (SUPSI). The campaign focuses on collecting non-identifying data, such as torso trajectories and the internal state of the system, from people in the proximity of a robot. The study spans three days in two different environments at the University Campus Est in Lugano, Switzerland.</p> <div> <div> <div> <div> <p>The campaign adheres to ethical guidelines and is approved by SUPSI's local ethics committee.</p> <p>Duration: Total of 5 hours and 7 minutes.</p> <p>Participants: 1777 individuals tracked.</p> <p><strong>Environments:</strong></p> <ul> <li>Entrance to the campus canteen (demographically diverse, including students and staff).</li> <li>Corridor between classrooms (mainly attended by students).</li> </ul> <p><strong>Data Types</strong>:</p> <ul> <li>Robot Sensor: Timestamps, user ID, 3D torso pose in Robot Sensor frame, interaction intention detector output.</li> <li>Environment Sensor: Timestamps, user ID, 3D poses of torso and hands in Environment Sensor frame, 2D torso positions in the sensor’s field of view.</li> <li>Robot State: Currently selected behavior, state (idle or performing an offering motion).</li> </ul> <p><strong>Key Events</strong>:</p> <ul> <li>Pick Motion: User's hand movement within 0.3 meters of the box.</li> <li>Robot Offer: Robot begins an offering motion.</li> <li>Successful Offer: Pick Motion within 6 seconds of a Robot Offer.</li> </ul> </div> </div> </div> </div> <div> <div> <div> </div> </div> </div>
Evaluating the usefulness of Protection Motivation Theory for predicting climate change mitigation behavioral intentions among a US sample of climate change deniers and acknowledgers
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Survey of risk perception, trust, and behavioral intention during the COVID-19 pandemic
<p>Early public health strategies to prevent the spread of COVID-19 in the United States relied on non-pharmaceutical interventions (NPIs) as vaccines and therapeutic treatments were not yet available. Implementation of NPIs, primarily social distancing and mask wearing, varied widely between communities within the US due to variable government mandates, as well as differences in attitudes and opinions. To understand the interplay of trust, risk perception, behavioral intention, and disease burden, we developed a survey instrument to study attitudes concerning COVID-19 and pandemic behavioral change in three states: Idaho, Texas, and Vermont. We designed our survey (<em>n </em>= 1034) to detect whether these relationships were significantly different in rural populations. The best fitting structural equation models show that trust indirectly affects protective pandemic behaviors via health and economic risk perception. We explore two different variations of this social cognitive model: the first assumes behavioral intention affects future disease burden while the second assumes that observed disease burden affects behavioral intention. In our models we include several exogenous variables to control for demographic and geographic effects. Notably, political ideology is the only exogenous variable which significantly affects all aspects of the social cognitive model (trust, risk perception, and behavioral intention). While there is a direct negative effect associated with rurality on disease burden, likely due to the protective effect of low population density in the early pandemic waves, we found a marginally significant, positive, indirect effect of rurality on disease burden via decreased trust (<em>p</em> = 0.095). This trust deficit creates additional vulnerabilities to COVID-19 in rural communities which also have reduced healthcare capacity. Increasing trust by methods such as in-group messaging could potentially remove some of the disparities inferred by our models and increase NPI effectiveness.</p>
Survey of risk perception, trust, and behavioral intention during the COVID-19 pandemic
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The role of green self-identity in enhancing green purchase intention and sustainable consumer behaviors
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Artifacts for paper "PATCH: Empowering Large Language Model with Programmer-Intent Guidance and Collaborative-Behavior Simulation for Automatic Bug Fixing" submitted to TOSEM
<p>The project includes the data and code used in the submitted TOSEM paper titled "PATCH: Empowering Large Language Model with Programmer-Intent Guidance and Collaborative-Behavior Simulation for Automatic Bug Fixing"</p>
Determining Factors Influencing Pre-Service ELT Students' Behavioral intention to Use ChatGPT in Türkiye
<p>This dataset is collected for the study entitled: " Determining Factors Influencing Pre-service ELT Students's Behavioral intention to Use Chat GPT in Türkiye." by Grassini & Köse collected during February & March, 2024. </p> <p> </p>
Effects of Intervention on Hope, Anxiety, and Attitudes and Behavioral Intentions of Advance Care Planning in Older Adults With Cancer
ClinicalTrials.gov study NCT06061107. IPD Sharing: NO. Countries: 1. Publications: 1.
The Effect of a Transtheoretical Model-Based Educational Intervention on First-Year Nursing Students' HPV Knowledge, Health Beliefs, and Vaccination Behavior Intentions
ClinicalTrials.gov study NCT07248904. IPD Sharing: NO. Countries: 1. Publications: 0.
The Effect of Visual Sternal Precautions on Behavioral Intentions and Readmissions
ClinicalTrials.gov study NCT02209558. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Young Adults' Fecundity Knowledge and Fertility Intentions and Reproductive Behavior
ClinicalTrials.gov study NCT06631950. IPD Sharing: YES. Countries: 2. Publications: 0.
Exploring the Relationship Between Caring Experience, Perceived Behavioral Control, and Caring Intention Among Students
ClinicalTrials.gov study NCT06763445. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Effects of a Peer-led Educational Intervention Based on Theory of Planned Behavior on Substance Use Intentions and Behaviors Among Secondary School Students of Dessie and Kombolcha Town, Northeast Eth
ClinicalTrials.gov study NCT04863625. IPD Sharing: NO. Countries: 1. Publications: 0.
Creighton Model Effectiveness, Intentions and Behaviors Assessment (CEIBA)
ClinicalTrials.gov study NCT01012596. IPD Sharing: Not stated. Countries: 2. Publications: 0.
Effects of Dating Violence Education Program on Bystanders' Help-giving Intention and Behavior Among College Students
ClinicalTrials.gov study NCT05564000. IPD Sharing: NO. Countries: 1. Publications: 0.
Theory of Planned Behavior and Implementation Intentions
ClinicalTrials.gov study NCT02205697. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Behavioral and Neurofunctional Correlates of Intentional Motor Behaviors Towards Edible Stimuli in Normal-weight Subjects
ClinicalTrials.gov study NCT04203706. IPD Sharing: NO. Countries: 0. Publications: 0.
Entrepreneurial intention from the attitude and behavioral control of university students
<p><strong><span>Abstract: </span></strong><span>This study examines the influence of attitude and perceived behavioral control on the entrepreneurial intentions of university students in Ayacucho, Peru. Utilizing structural equation modeling (SEM) and data from 468 students, the research validated its findings through exploratory and confirmatory factor analyses. The results indicate that both attitude and perceived behavioral control are significant predictors of entrepreneurial intention, together explaining 37% of its variance. Attitude emerged as the most influential factor, accounting for 33%, while perceived behavioral control contributed 19%. These findings support the Theory of Planned Behavior (TPB) and highlight the necessity of educational strategies that promote both constructs to enhance entrepreneurial intent among students. This study offers valuable insights for higher education, suggesting that programs should not only focus on technical skills but also cultivate positive attitudes and a sense of control over entrepreneurial processes. Given that entrepreneurship is crucial for regional economic development, the implications extend to informing educational policies and initiatives aimed at fostering youth entrepreneurship. Furthermore, unlike prior research that typically treated attitude and perceived behavioral control separately, this study integrates both constructs within a comprehensive TPB and Self-Determination Theory framework, reinforcing their combined effect on entrepreneurial intentions.</span></p> <p> </p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.