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Claudia Schmiedeberg; Jette Schröder – Field Methods, 2024
Although it has long been acknowledged that interviewers play a crucial role in the survey data collection process, there is little research concerning interviewer effects on how respondents perceive the interview. We investigate whether interviewer effects exist regarding how much respondents report having enjoyed the interview and whether these…
Descriptors: Interviews, Data Collection, Surveys, Attitudes
Larry Katz; Megan Hallam; Zoe Polsky; Michael Duvall; Lisa Finestone; Dave Carlgren – Canadian Journal for the Scholarship of Teaching and Learning, 2025
Interactive student response systems (SRS, clickers) are used in post-secondary classrooms to enhance student engagement and learning. Their use, however, is most often limited to reviewing material with multiple choice questions. The present study examined student responses to a strategy for technology-enhanced learning within an introductory…
Descriptors: Postsecondary Education, Audience Response Systems, Educational Technology, Feedback (Response)
Melissa Dan Wang – Large-scale Assessments in Education, 2025
Although self-report surveys are widely used for data collection, data quality can vary across populations because certain groups are more likely to engage in insufficient effort responding (IER). Our study examined how different levels of the educational system--student groups, schools, and cultural contexts--affect data quality due to IER, using…
Descriptors: Responses, Response Style (Tests), Questionnaires, Surveys
Yavuz Akbulut; Abdullah Saykili; Aylin Öztürk; Aras Bozkurt – International Review of Research in Open and Distributed Learning, 2023
Online surveys are widely used in social science research as well as in empirical studies of open, online, and distance education. However, students' responses are likely to be at odds with their actual behavior. In this context, we examined the discrepancies between self-reported use and actual use (i.e., learning analytics data) among 20,646…
Descriptors: Measurement Techniques, Electronic Learning, Distance Education, Open Education
Lipps, Oliver; Monsch, Gian-Andrea – Field Methods, 2022
Telephone surveys face more and more criticism because of decreasing coverage and increasing costs, and the risk of producing socially desirable answers. Consequently, survey administrators consider switching their surveys to the web mode, although the web mode is more susceptible to item nonresponse. Still, we do not know whether this is true for…
Descriptors: Telephone Surveys, Online Surveys, Questioning Techniques, Difficulty Level
Luvon Hudson; Tawheedah Abdullah; Max Altman – Equity Assistance Center-South, 2025
In the complex and dynamic environment of schools, the greatest asset is the collective wisdom of educators. The insights, experiences, and perspectives of teachers and staff are the most valuable data for driving meaningful improvement and fostering a positive environment where both students and adults can thrive. To lead effectively, one must…
Descriptors: Feedback (Response), Educational Improvement, Data Collection, Educational Environment
Leventhal, Brian C.; Gregg, Nikole; Ames, Allison J. – Measurement: Interdisciplinary Research and Perspectives, 2022
Response styles introduce construct-irrelevant variance as a result of respondents systematically responding to Likert-type items regardless of content. Methods to account for response styles through data analysis as well as approaches to mitigating the effects of response styles during data collection have been well-documented. Recent approaches…
Descriptors: Response Style (Tests), Item Response Theory, Test Items, Likert Scales
Murat Tekin; Çetin Toraman; Aysen Melek Aytug Kosan – International Journal of Assessment Tools in Education, 2024
In the present study, we examined the psychometric properties of the data obtained from the Commitment to Profession of Medicine Scale (CPMS) with 4-point, 5-point, 6-point, and 7-point response sets based on Item Response Theory (IRT). A total of 2150 medical students from 16 different universities participated in the study. The participants were…
Descriptors: Psychometrics, Medical Students, Likert Scales, Data Collection
Neuert, Cornelia E.; Meitinger, Katharina; Behr, Dorothée – Sociological Methods & Research, 2023
The method of web probing integrates cognitive interviewing techniques into web surveys and is increasingly used to evaluate survey questions. In a usual web probing scenario, probes are administered immediately after the question to be tested (concurrent probing), typically as open-ended questions. A second possibility of administering probes is…
Descriptors: Internet, Online Surveys, Test Items, Evaluation
Lauren Berkovits; Jan Blacher; Abbey Eisenhower; Stuart Daniel – Journal of Autism and Developmental Disorders, 2025
Purpose: Comparative data of autism-sensitive standardized measures of emotion regulation and lability, describing percentage change over time for populations of young autistic children, are currently publicly unavailable. We propose publication of such data as a support for future therapeutic intervention studies. Methods: We generate and present…
Descriptors: Emotional Response, Check Lists, Autism Spectrum Disorders, Comparative Analysis
Juliette Woodrow; Sanmi Koyejo; Chris Piech – International Educational Data Mining Society, 2025
High-quality feedback requires understanding of a student's work, insights into what concepts would help them improve, and language that matches the preferences of the specific teaching team. While Large Language Models (LLMs) can generate coherent feedback, adapting these responses to align with specific teacher preferences remains an open…
Descriptors: Feedback (Response), Artificial Intelligence, Teacher Attitudes, Preferences
Hongwen Guo; Matthew S. Johnson; Daniel F. McCaffrey; Lixong Gu – ETS Research Report Series, 2024
The multistage testing (MST) design has been gaining attention and popularity in educational assessments. For testing programs that have small test-taker samples, it is challenging to calibrate new items to replenish the item pool. In the current research, we used the item pools from an operational MST program to illustrate how research studies…
Descriptors: Test Items, Test Construction, Sample Size, Scaling
Fatema Rahimi; Abolghasem Sadeghi-Niaraki; Houbing Song; Huihui Wang; Soo-Mi Choi – IEEE Transactions on Learning Technologies, 2025
This study investigates the cognitive and emotional processes involved in augmented reality (AR)-based learning. The study looks at learning outcomes, emotional responses, meditation, and attention using a comprehensive approach that includes self-assessment, electroencephalogram data gathering, and postexperiment questionnaires. In total, 12…
Descriptors: Simulated Environment, Cognitive Processes, Outcomes of Education, Emotional Response
Australian Government Tertiary Education Quality and Standards Agency, 2024
The Australian Government Tertiary Education Quality and Standards Agency's (TEQSA's) guidance notes are concise documents designed to provide high-level, principles-based guidance on interpretation and application of specific standards of the Higher Education Standards Framework (Threshold Standards) 2021. They also draw attention to other…
Descriptors: Foreign Countries, Instructional Improvement, Quality Assurance, Data Collection
Shiyu Zhang; James Wagner – Sociological Methods & Research, 2024
Adaptive survey design refers to using targeted procedures to recruit different sampled cases. This technique strives to reduce bias and variance of survey estimates by trying to recruit a larger and more balanced set of respondents. However, it is not well understood how adaptive design can improve data and survey estimates beyond the…
Descriptors: Surveys, Research Design, Response Rates (Questionnaires), Demography

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