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Finch, Maida – Impacting Education: Journal on Transforming Professional Practice, 2022
The emphasis in Ed.D. programs on professional knowledge and practical research means methodological training in these programs must prepare their candidates for the career demands graduates will likely encounter; practitioner research is well-suited to this task. Yet, the lower status traditionally accorded to practitioner research, along with an…
Descriptors: Teacher Researchers, Educational Research, Literacy Education, Research Methodology
Daniel Rodriguez-Segura; Beth E. Schueler – Annenberg Institute for School Reform at Brown University, 2022
A significant share of education and development research uses data collected by workers called "enumerators." It is well-documented that "enumerator effects"--or inconsistent practices between the individual people who administer measurement tools-- can be a key source of error in survey data collection. However, it is less…
Descriptors: Data Collection, Educational Research, Research Problems, Elementary School Students
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Sáiz-Manzanares, María Consuelo; Marticorena-Sánchez, Raúl; Martín-Antón, Luis-J.; Almeida, Leandro; Carbonero-Martín, Miguel-Ángel – Comunicar: Media Education Research Journal, 2023
Advances in neuro-technology provide new insights into how individual students learn in educational contexts. However, applying it poses challenges for teachers in natural settings. This paper presents an example of the use and applicability of eye-tracking technology in Higher Education. We worked with a sample of 20 students from three…
Descriptors: Higher Education, Eye Movements, Comparative Analysis, Prior Learning
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Jacob Pleasants – Science & Education, 2024
As part of a growing emphasis on "STEM," engineering has gained prominence in precollege education. In response to that trend, an emerging area of educational research focuses on the "Nature of Engineering" (NOE), a collection of ideas about what engineering is, what engineers do, and how engineering is related to science and…
Descriptors: Social Environment, STEM Education, Engineering, Engineering Education
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Kenneth A. Frank; Qinyun Lin; Spiro J. Maroulis – Grantee Submission, 2024
In the complex world of educational policy, causal inferences will be debated. As we review non-experimental designs in educational policy, we focus on how to clarify and focus the terms of debate. We begin by presenting the potential outcomes/counterfactual framework and then describe approximations to the counterfactual generated from the…
Descriptors: Causal Models, Statistical Inference, Observation, Educational Policy
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Alois Sibaningi Baleni – Perspectives in Education, 2024
The problem with most commissioned studies is that they are generally anchored on research protocols, guidelines and theoretical underpinnings imposed by research grant makers or the external Principal Investigator's (PI) own research design preferences. Furthermore, the problem is that researchers who are recruited during various phases of…
Descriptors: Foreign Countries, Universities, Interest Research, Research Problems
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Livia Tomás; Ophélie Bidet – International Journal of Social Research Methodology, 2024
Qualitative research has been strongly affected by the COVID-19 pandemic, highlighting the possibilities that Voice over Internet Protocol (VoIP) technologies such as Skype, WhatsApp, and Zoom offer to qualitative scholars. Based on the experience of using such technologies to collect qualitative data for our PhD studies, we present how we dealt…
Descriptors: Telecommunications, Qualitative Research, Interviews, Interpersonal Relationship
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Gorard, Stephen – International Journal of Social Research Methodology, 2020
Social science datasets usually have missing cases, and missing values. All such missing data has the potential to bias future research findings. However, many research reports ignore the issue of missing data, only consider some aspects of it, or do not report how it is handled. This paper rehearses the damage caused by missing data. The paper…
Descriptors: Data, Research Problems, Social Science Research, Statistical Analysis
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Jiang, Shiyan; Kahn, Jennifer – International Journal of Computer-Supported Collaborative Learning, 2020
Data visualization technologies are powerful tools for telling evidence-based narratives about oneself and the world. This paper contributes to the literature on data science education by examining the sociotechnical practices of data wrangling--strategies for selecting and managing large, aggregated datasets to produce a model and story. We…
Descriptors: Data Collection, Data Analysis, Visualization, Story Telling
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Kuha, Jouni; Mills, Colin – Sociological Methods & Research, 2020
It is widely believed that regression models for binary responses are problematic if we want to compare estimated coefficients from models for different groups or with different explanatory variables. This concern has two forms. The first arises if the binary model is treated as an estimate of a model for an unobserved continuous response and the…
Descriptors: Comparative Analysis, Regression (Statistics), Research Problems, Computation
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Paton, Morag; Kuper, Ayelet; Paradis, Elise; Feilchenfeld, Zac; Whitehead, Cynthia R. – Advances in Health Sciences Education, 2021
Many processes and practices in the field of health professions education have been based more on tradition and assumption than on evidence and theory. As the field matures, researchers are increasingly seeking evidence to support various teaching and assessment methods. However, there is a tendency to focus on a limited set of topics, leaving…
Descriptors: Allied Health Occupations Education, Medical Education, Educational Research, Evidence Based Practice
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Boers, Frank; Bryfonski, Lara; Faez, Farahnaz; McKay, Todd – Studies in Second Language Acquisition, 2021
Meta-analytic reviews collect available empirical studies on a specified domain and calculate the average effect of a factor. Educators as well as researchers exploring a new domain of inquiry may rely on the conclusions from meta-analytic reviews rather than reading multiple primary studies. This article calls for caution in this regard because…
Descriptors: Meta Analysis, Literature Reviews, Effect Size, Computation
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Patel, Priya; Lee, Seungmin; Myers, Nicholas D.; Lee, Mei-Hua – Journal of Motor Learning and Development, 2021
Missing data incidents are common in experimental studies of motor learning and development. Inadequate handling of missing data may lead to serious problems, such as addition of bias, reduction in power, and so on. Thus, this study aimed to conduct a systematic review of the past (2007) and present (2017) practices used for reporting and…
Descriptors: Motor Development, Research Reports, Periodicals, Research Methodology
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Damian, Elena; Meuleman, Bart; van Oorschot, Wim – Sociological Methods & Research, 2022
In this article, we examine whether cross-national studies disclose enough information for independent researchers to evaluate the validity and reliability of the findings (evaluation transparency) or to perform a direct replication (replicability transparency). The first contribution is theoretical. We develop a heuristic theoretical model…
Descriptors: National Surveys, Cross Cultural Studies, Social Science Research, Periodicals
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Yeo-Teh, Nicole Shu Ling; Tang, Bor Luen – Research Ethics, 2022
Publication pressure has been touted to promote questionable research practices (QRP) and scientific or research misconduct (RM). However, logically attractively as it is, there is no unequivocal evidence for this notion, and empirical studies have produced conflicting results. Other than difficulties in obtaining unbiased empirical data, a direct…
Descriptors: Publish or Perish Issue, Ethics, Research Problems, Correlation
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