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Baah, Eric Adjei – Waikato Journal of Education, 2022
In this article, I present how I navigated unexpected apprehension that I faced while communicating with teacher participants during my PhD data collection (via interviews, observations and document study). I mediated the apprehension by strategies such as disclosing my teacher identity, expressing an interest in their practice and assuring them…
Descriptors: Data Collection, Research Problems, Interpersonal Relationship, Foreign Countries
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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
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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
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Easterday, Matthew W.; Rees Lewis, Daniel G.; Gerber, Elizabeth M. – Learning: Research and Practice, 2018
Since the first descriptions of design research (DR), there have been calls to better define it to increase its rigour. Yet five uncertainties remain: (1) the processes for conducting DR, (2) how DR differs from other forms of research, (3) how DR differs from design, (4) the products of DR, and (5) why DR can answer certain research questions…
Descriptors: Research Methodology, Educational Research, Instructional Design, Definitions
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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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Wigelsworth, Michael – Psychology of Education Review, 2020
In John Raven's "Diving in Where Angels Fear to Tread: Pre-Requisites to Evidence-Based Interventions," he outlines several critical failings in which social scientists bear a responsibility for potentially a great deal of damage toward children, society, and notably, the planet itself. The nature of the damage appears to be one of…
Descriptors: Educational Assessment, Evidence Based Practice, Intervention, Educational Policy
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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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