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Burleson, James; Bott, Gregory J.; Carter, Michelle; Sarabadani, Jalal – Journal of Information Systems Education, 2023
To ensure validity in survey research, it is imperative that we properly educate doctoral students on best practices in data quality procedures. A 14-year analysis of 679 studies in the AIS "Basket of 8" journals noted undercommunication in the most pertinent procedures, consistent across journals and time. Given recent calls for…
Descriptors: Doctoral Programs, Curriculum Evaluation, Curriculum Development, Surveys
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El Kadiri Boutchich, Driss – Journal of Education, 2023
This work aims to elaborate a governance composite index for research laboratories in public university. This index is composed by an indicator of responsible liberalism associating effectiveness and ethics, to which are added an organizational management indicator and a strategic management indicator. To achieve the above aim, several methods are…
Descriptors: Educational Research, Laboratories, Governance, Universities
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Conrique, Beverly G.; McDade-Montez, Elizabeth; Anderson, Pamela M. – Community College Journal of Research and Practice, 2020
Online surveys are an efficient and relatively affordable way to collect data. However, there are issues associated with it, including potential fraudulent data due to accidental or deliberate duplicate entries. In this brief we describe a case study of deliberate duplicate entries in an ongoing study of community college students. Students from…
Descriptors: Data Collection, Data, Two Year College Students, Vocational Education
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Yingchen Wang – SAGE Open, 2024
Surveys are typical for student evaluation of teaching (SET). Survey research consistently confirms the negative impacts of careless responses on research validity, including low data quality and invalid research inferences. SET literature seldom addresses if careless responses are present and how to improve. To improve evaluation practices and…
Descriptors: Student Evaluation of Teacher Performance, Responses, Validity, Data Use
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Kurtdede Fidan, Nuray; Ulu, Hacer – International Journal of Contemporary Educational Research, 2021
It is seen that the number of studies dealing with the values in children's literary products has been increased. Although there are many reviews on the studies concerning with value education, these reviews do not provide some significant details about these studies. This study has provided a content analysis of the studies on the values in…
Descriptors: Foreign Countries, Childrens Literature, Values Education, Literary Genres
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Hakimi, Laura; Eynon, Rebecca; Murphy, Victoria A. – Review of Educational Research, 2021
This article presents the findings of a systematic qualitative analysis of research in the ethics of digital trace data use in learning and education. From the resulting analysis of 77 peer-reviewed studies, we (1) map the characteristics of research by study type, academic community, institutional setting, and national context; (2) identify the…
Descriptors: Ethics, Data Use, Data Collection, Learning Analytics
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Knekta, Eva; Runyon, Christopher; Eddy, Sarah – CBE - Life Sciences Education, 2019
Across all sciences, the quality of measurements is important. Survey measurements are only appropriate for use when researchers have validity evidence within their particular context. Yet, this step is frequently skipped or is not reported in educational research. This article briefly reviews the aspects of validity that researchers should…
Descriptors: Factor Analysis, Surveys, Data Collection, Research Methodology
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Önder Kethüda – Journal of Marketing for Higher Education, 2024
This study evaluates the influence of ranking reports on university brands' credibility and perceived differentiation. Signaling theory is applied to link ranking with credibility and perceived differentiation. An experimental approach was used to collect data and to test the hypothesis. Data was collected from 328 participants in the UK regarding…
Descriptors: Credibility, Reputation, Institutional Characteristics, Institutional Evaluation
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Sivia, Awneet; MacMath, Sheryl; Britton, Vandy – Studying Teacher Education, 2022
This article documents a year-long collaborative self-study of three teacher educators engaged in a practicum innovation in a teacher education program. This study, which is part of a larger study examining practicum-based seminars called "Particulars of Practice" (POP), focuses on exploring our own practices and identities within this…
Descriptors: Practicums, Teacher Educators, Teacher Education Programs, Mentors
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Wilbert, Jürgen; Bosch, Jannis; Lüke, Timo – International Journal for Research in Learning Disabilities, 2021
Analysis of data from single-case intervention studies commonly involves visual analysis. Previous research indicates that visual analysis may suffer from low reliability and unpromising error rates. We investigated the reliability and validity of visual analysis and explored to what extent data trends affect judgments. We administered a…
Descriptors: Data Analysis, Reliability, Validity, Visual Aids
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Kelly Findley; Brein Mosely; Aaron Ludkowski – Statistics Education Research Journal, 2023
Reform efforts in statistics education emphasize the need for students to develop statistical thinking. Critical to this goal is a solid understanding of design in the process of collecting data, evaluating evidence, and drawing conclusions. We collected survey responses from over 700 college students at the start of an introductory statistics…
Descriptors: Thinking Skills, Statistics Education, Attribution Theory, Generalization
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Bertolini, Roberto; Finch, Stephen J.; Nehm, Ross H. – International Journal of Educational Technology in Higher Education, 2021
Educators seek to harness knowledge from educational corpora to improve student performance outcomes. Although prior studies have compared the efficacy of data mining methods (DMMs) in pipelines for forecasting student success, less work has focused on identifying a set of relevant features prior to model development and quantifying the stability…
Descriptors: Data Processing, Prediction, Validity, Undergraduate Students
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West, Jason – Curriculum Journal, 2017
Interdisciplinarity requires the collaboration of two or more disciplines to combine their expertise to jointly develop and deliver learning and teaching outcomes appropriate for a subject area. Curricula and assessment mapping are critical components to foster and enhance interdisciplinary learning environments. Emerging careers in data science…
Descriptors: Curriculum Development, Validity, Data Analysis, Interdisciplinary Approach
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Dunn, Karee E.; Airola, Denise T.; Hayakawa, Takuya – Current Issues in Education, 2020
In this study, teacher education students' concerns, sense of efficacy, and anxiety related to the future use of data to drive educational decision-making were explored. In alignment with prior research with practicing teachers, this sample of pre-service teachers reported concerns (thoughts, preoccupations, and feelings) that indicate they are…
Descriptors: Preservice Teachers, Self Efficacy, Anxiety, Student Attitudes
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Bautista-Puig, Núria; Orduña-Malea, Enrique; Perez-Esparrells, Carmen – International Journal of Sustainability in Higher Education, 2022
Purpose: This study aims to analyse and evaluate the methodology followed by the Times Higher Education Impact Rankings (THE-IR), as well as the coverage obtained and the data offered by this ranking, to determine if its methodology reflects the degree of sustainability of universities, and whether their results are accurate enough to be used as a…
Descriptors: Sustainable Development, Higher Education, Reputation, Institutional Characteristics
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