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Canning, John; Masika, Rachel – Studies in Higher Education, 2022
Thirty years ago Boyer's report "Scholarship Reconsidered: Priorities of the Professoriate" (1990) inspired the launch of the 'SoTL movement' which sought to raise the status of learning and teaching in higher education. In this paper we argue that despite its honourable intentions the SoTL movement has been a thorn in the flesh of…
Descriptors: Scholarship, Instruction, Learning, Educational Research
Zita Lysaght; Michael O'Leary; Angela Mazzone; Conor Scully – Sage Research Methods Cases, 2022
Since 2018, colleagues from two research centers at Dublin City University have been collaborating to develop a measurement scale to assess individuals' ability to identify workplace bullying. Having agreed on an operational definition of the construct, an item pool of 26 workplace bullying scenarios, that is, short descriptions of…
Descriptors: Foreign Countries, Test Construction, Test Validity, Test Reliability
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Bakbergenuly, Ilyas; Hoaglin, David C.; Kulinskaya, Elena – Research Synthesis Methods, 2019
For meta-analysis of studies that report outcomes as binomial proportions, the most popular measure of effect is the odds ratio (OR), usually analyzed as log(OR). Many meta-analyses use the risk ratio (RR) and its logarithm because of its simpler interpretation. Although log(OR) and log(RR) are both unbounded, use of log(RR) must ensure that…
Descriptors: Meta Analysis, Risk, Research Problems, Models
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Schwarzer, Guido; Chemaitelly, Hiam; Abu-Raddad, Laith J.; Rücker, Gerta – Research Synthesis Methods, 2019
Standard generic inverse variance methods for the combination of single proportions are based on transformed proportions using the logit, arcsine, and Freeman-Tukey double arcsine transformations. Generalized linear mixed models are another more elaborate approach. Irrespective of the approach, meta-analysis results are typically back-transformed…
Descriptors: Meta Analysis, Statistical Analysis, Research Problems
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Lee, Daniel Y.; Harring, Jeffrey R. – Journal of Educational and Behavioral Statistics, 2023
A Monte Carlo simulation was performed to compare methods for handling missing data in growth mixture models. The methods considered in the current study were (a) a fully Bayesian approach using a Gibbs sampler, (b) full information maximum likelihood using the expectation-maximization algorithm, (c) multiple imputation, (d) a two-stage multiple…
Descriptors: Monte Carlo Methods, Research Problems, Statistical Inference, Bayesian Statistics
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Abraham R. Matamanda – International Journal of Social Research Methodology, 2023
Urban planning research usually requires researchers to undertake fieldwork. This fieldwork is frustrated or enabled by gatekeepers who can influence effective data collection. Traditionally, gatekeepers are perceived as monolithic, neutral, and static individuals, yet they are complex individuals with varying needs and expectations from the…
Descriptors: Politics, Urban Planning, Land Settlement, Social Science Research
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Nick Henry – Studies in Second Language Acquisition, 2023
Research on input processing and processing instruction has often employed a scoring method known as trials to criterion to observe the effects of instruction that emerge during training. Despite its common use in this research (see Fernández, 2021) this metric has never been evaluated critically. The present study first discusses several…
Descriptors: Second Language Learning, Language Research, Linguistic Input, Language Processing
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Simpson, Adrian – Journal of Research on Educational Effectiveness, 2023
Evidence-based education aims to support policy makers choosing between potential interventions. This rarely involves considering each in isolation; instead, sets of evidence regarding many potential policy interventions are considered. Filtering a set on any quantity measured with error risks the "winner's curse": conditional on…
Descriptors: Effect Size, Educational Research, Evidence Based Practice, Foreign Countries
Egamaria Alacam; Craig K. Enders; Han Du; Brian T. Keller – Grantee Submission, 2023
Composite scores are an exceptionally important psychometric tool for behavioral science research applications. A prototypical example occurs with self-report data, where researchers routinely use questionnaires with multiple items that tap into different features of a target construct. Item-level missing data are endemic to composite score…
Descriptors: Regression (Statistics), Scores, Psychometrics, Test Items
Mahmoud Mohammad Sayed Abdallah – Online Submission, 2024
This article by Dr. Mahmoud M. S. Abdallah provides a comprehensive guide to formulating a research problem in education and language learning, particularly for TESOL/TEFL researchers. It emphasizes the importance of a well-defined research problem as the cornerstone of any research project, guiding the selection of methods, data collection, and…
Descriptors: Research Problems, Second Language Learning, Second Language Instruction, English (Second Language)
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Myunghwan Hwang; Soyeon Kim; Hyejin Kim; Joohee Han; Hee-Kyung Lee – English Teaching, 2024
This paper evaluates the use of Factor Analysis (FA) in English education research in Korea and suggests improvements in methodology. A detailed coding protocol was used to review 179 FA cases from 12 major English education journals (2014-2023). The review identified several key issues, including small sample sizes and lenient criteria for sample…
Descriptors: Factor Analysis, English (Second Language), Second Language Learning, Second Language Instruction
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Norah Alsharidi – Journal of Education and Learning, 2025
Educational research enquiries differ based on philosophical beliefs and assumptions regarding researchers' explicitly stated views. This paper critically explores the most dominant philosophical stances in social research sciences, namely positivism, interpretivism and pragmatism. It begins with an overview of the role of the aforementioned…
Descriptors: Educational Research, Social Science Research, Philosophy, Beliefs
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Philip E. Kearney; Niamh Curran; Frank J. Nugent – Journal of Motor Learning and Development, 2025
Manipulation checks are an essential component of quality experimental design in motor learning. Guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses framework, this methodological systematic review examined the utilization of manipulation checks in focus of attention research. Seventy-eight protocols from four…
Descriptors: Attention Control, Attention Span, Motor Development, Psychomotor Skills
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Makel, Matthew C.; Hodges, Jaret; Cook, Bryan G.; Plucker, Jonathan A. – Educational Researcher, 2021
Concerns about the conduct of research are pervasive in many fields, including education. In this preregistered study, we replicated and extended previous studies from other fields by asking education researchers about 10 questionable research practices and five open research practices. We asked them to estimate the prevalence of the practices in…
Descriptors: Educational Research, Research Methodology, Ethics, Research Problems
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Cairns, Aidan C.; Linville, Caleb; Garcia, Tyler; Bridges, Bill; Tanona, Scott; Herington, Jonathan; Laverty, James T. – Research Ethics, 2021
When scientists act unethically, their actions can cause harm to participants, undermine knowledge creation, and discredit the scientific community. Responsible Conduct of Research (RCR) training is one of the main ways institutions try to prevent scientists from acting unethically. However, this only addresses the problem if scientists value the…
Descriptors: Scientists, Beliefs, Phenomenology, Ethics
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