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Thomas V. Pollet; Merim Bilalic; Lee Shepherd – Studies in Higher Education, 2024
Arbitrary placing cut-offs in data, i.e. binning, is recognised as poor statistical practice. We explore the consequences of using arbitrary cut-offs in two large datasets, the National Student Survey (2019 and 2022). These are nationwide surveys aimed at capturing student satisfaction amongst UK undergraduates. For these survey data, it is common…
Descriptors: Foreign Countries, National Surveys, Student Surveys, Student Satisfaction
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Altschuld, James W.; Hung, Hsin-Ling; Lee, Yi-Fang – American Journal of Evaluation, 2022
Surveys are frequently employed in needs assessment to collect information about gaps (the needs) in "what is" and "what should be" conditions. Double-scale Likert-type instruments are routinely used for this purpose. Although in accord with the discrepancy definition of need, the quality of such measures is being questioned to…
Descriptors: Needs Assessment, Surveys, Likert Scales, Credibility
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Sideridis, Georgios; Tsaousis, Ioannis; Ghamdi, Hanan – Educational and Psychological Measurement, 2023
The purpose of the present study was to provide the means to evaluate the "interval-scaling" assumption that governs the use of parametric statistics and continuous data estimators in self-report instruments that utilize Likert-type scaling. Using simulated and real data, the methodology to test for this important assumption is evaluated…
Descriptors: Intervals, Scaling, Computer Software, Likert Scales
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Kuan-Yu Jin; Thomas Eckes – Educational and Psychological Measurement, 2024
Insufficient effort responding (IER) refers to a lack of effort when answering survey or questionnaire items. Such items typically offer more than two ordered response categories, with Likert-type scales as the most prominent example. The underlying assumption is that the successive categories reflect increasing levels of the latent variable…
Descriptors: Item Response Theory, Test Items, Test Wiseness, Surveys
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Natalja Menold; Vera Toepoel – Sociological Methods & Research, 2024
Research on mixed devices in web surveys is in its infancy. Using a randomized experiment, we investigated device effects (desktop PC, tablet and mobile phone) for six response formats and four different numbers of scale points. N = 5,077 members of an online access panel participated in the experiment. An exact test of measurement invariance and…
Descriptors: Online Surveys, Handheld Devices, Telecommunications, Test Reliability
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Shay Roth; Victoria Pinkovsky; Isabelle Zerfas; Ashley Yarabinec; Susan Skledar; Sharon Connor – Journal of Service-Learning in Higher Education, 2024
The purpose of this study was to quantify and compare interprofessional skills among first year pharmacy students who participated in healthcare and non-healthcare setting service-learning experiences. This was a survey-based pre/post comparison of interprofessional attitudes among student pharmacists during a first professional year…
Descriptors: Health Services, Service Learning, Educational Environment, Interprofessional Relationship
Jackson, Kayla – ProQuest LLC, 2023
Prior research highlights the benefits of multimode surveys and best practices for item-by-item (IBI) and matrix-type survey items. Some researchers have explored whether mode differences for online and paper surveys persist for these survey item types. However, no studies discuss measurement invariance when both item types and online modes are…
Descriptors: Test Items, Surveys, Error of Measurement, Item Response Theory
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Lennert da Silva, Ana Lucia – Nordic Journal of Studies in Educational Policy, 2022
This article addresses teacher autonomy in different models of educational governance using quantitative data from the OECD TALIS 2018 and qualitative data from a study on teacher autonomy conducted in Norway and Brazil. In this article, teacher autonomy is seen as a multidimensional concept referring to decision-making and control in relation to…
Descriptors: Governance, Professional Autonomy, Teacher Surveys, Administrator Surveys
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Adam B. Wilson; William S. Brooks; Danielle N. Edwards; Jill Deaver; Jessica A. Surd; Obadiah J. Pirlo; William A. Byrd; Edgar R. Meyer; Amy Beresheim; Stephanie L. Cuskey; Jack G. Tsintolas; Eric S. Norrell; Harriet C. Fisher; Christopher W. Skaggs; Dmytro Mysak; Samantha R. Levin; Carlos E. Escutia Rosas; Andrew S. Cale; Md Nazmul Karim; Jenna Pollock; Nicholas J. Kakos; Monica S. O'Brien; Rebecca S. Lufler – Anatomical Sciences Education, 2024
Growth in the online survey market may be increasing response burden and possibly jeopardizing higher response rates. This meta-analysis evaluated survey trends over one decade (2011-2020) to determine: (1) changes in survey publication rates over time, (2) changes in response rates over time, (3) typical response rates within health sciences…
Descriptors: Online Surveys, Response Rates (Questionnaires), Health Sciences, Educational Research
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Xiaoxuan Fang; Davy Tsz Kit Ng; Jac Ka Lok Leung; Huixuan Xu – Interactive Learning Environments, 2024
The Attention, Relevance, Confidence, and Satisfaction or ARCS model is an effective motivational model that has been widely accepted by education practitioners. Literature on the ARCS model has focused primarily on aspects of educational settings, research methods, and outcomes. However, few studies have addressed the applications of the ARCS…
Descriptors: Attention, Relevance (Education), Self Esteem, Student Satisfaction
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Regional Educational Laboratory West, 2021
When education leaders utilize survey results to inform their decisions, they are often left wondering if the "right" survey questions were asked. To help state and local leaders improve existing instruments or create better instruments for data collection, this quick reference guide highlights best practices in designing effective…
Descriptors: Surveys, Best Practices, Design, Likert Scales
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Minhee Choi; Nicole O'Donnell; Won-Ki Moon – Health Education & Behavior, 2024
This study examines attenuated risk responses among individuals who do not adhere to preventive COVID-19 measures (e.g., antimaskers). Guided by the Social Amplification of Risk Model, a survey (N = 373) of nonabiding populations showed that news media use was positively associated with risk perceptions, information seeking and sharing, and…
Descriptors: Adults, COVID-19, Pandemics, Disease Control
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Matthieu Tenzing Cisel – International Review of Research in Open and Distributed Learning, 2023
Due notably to the emergence of massive open online courses (MOOCs), stakeholders in online education have amassed extensive databases on learners throughout the past decade. Administrators of online course platforms, for instance, possess a broad spectrum of information about their users. This information spans from users' areas of interest to…
Descriptors: MOOCs, Ethics, Risk, Databases
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Kelley, R. Mark; Humerickhouse, Kim; Gibson, Deborah J.; Gray, Lori A. – World Journal of Education, 2021
The purpose of this study is twofold: (a) to assess the perceived relevance of the Seven Timeless Principles and guidelines posited by Gregory (1886) for current educators and educators-in-training and (b) to develop and pilot test the instrument needed to accomplish the former. The "Rules for Teachers" Gregory attributes to each of…
Descriptors: Educational Principles, Likert Scales, Online Surveys, Guidelines
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Edilberto Z. Andal; John Vincent C. Aliazas; Imelda G. Carada; Julie Fe D. Panoy; Chester M. Derequito; Allen E. Pasia – Anatolian Journal of Education, 2024
The purpose of this study was to assess the feasibility of offering a Doctor of Philosophy in Education program at LSPU. The study utilized a quantitative research design to gather data from 243 respondents consisting of teachers, education professionals, and stakeholders in the field of education. The data were analyzed using descriptive…
Descriptors: Foreign Countries, Doctoral Programs, Education Majors, Stakeholders
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