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Peer reviewed
Direct linkVan Eck, Richard N. – Research in the Schools, 2021
Whether you believe you need a methodologist is very much dependent on academic training and your experience working with methodologists in pursuit of research. Methodologists are indispensable at all phases of the research process but perhaps nowhere more than at the beginning, when formulating your research questions and specifying what it is…
Descriptors: Educational Research, Research Methodology, Research Design, Statistical Analysis
Download full textAkça Okan Yüksel; Sibel Somyürek – Journal of Educational Technology and Online Learning, 2023
Since social networks analysis in education offers valuable insights into social structures and social dynamics that shapes individuals behaviors and information storage and transmission, it has become a hot topic in educational science studies. The aim of this study is to examine the educational sciences studies conducted at higher education…
Descriptors: Social Networks, Network Analysis, Educational Research, Statistical Analysis
Paul J. Dizona – ProQuest LLC, 2022
Missing data is a common challenge to any researcher in almost any field of research. In particular, human participants in research do not always respond or return for assessments leaving the researcher to rely on missing data methods. The most common methods (i.e., Multiple Imputation and Full Information Maximum Likelihood) assume that the…
Descriptors: Pretests Posttests, Research Design, Research Problems, Dropouts
Huang, Francis L. – Gifted Child Quarterly, 2020
Multivariate analysis of variance (MANOVA) is a statistical procedure commonly used in fields such as education and psychology. However, MANOVA's popularity may actually be for the wrong reasons. The large majority of published research using MANOVA focus on univariate research questions rather than on the multivariate questions that MANOVA is…
Descriptors: Multivariate Analysis, Research Methodology, Research Problems, Statistical Analysis
Kathleen F. Malu; Mary Beth Schaefer; Bogum Yoon – RMLE Online: Research in Middle Level Education, 2024
In an effort to advance the middle school movement, this paper examines the research trends from three organizations that support middle grades educational innovation, assessment, and research: The Carnegie Corporation of New York, the Educational Testing Service, and the Institute of Education Sciences. Using an instrumental, multiple case study…
Descriptors: Middle Schools, Educational Research, Trend Analysis, Statistical Analysis
Dyer, Wendy; Williams, Malcolm – International Journal of Social Research Methodology, 2021
The use of quantitative methods within realist methodologies are fairly rare. This is perhaps because a realist understanding of the social word as complex and dynamic (messy but not chaotic) does not sit well with traditional variable-based causal analysis which test specific theoretical assumptions, yet cannot account for interaction, moderation…
Descriptors: Statistical Analysis, Realism, Research Methodology, Epistemology
Byiers, Breanne J.; Pennington, Brittany; Rudolph, Brenna N.; Ford, Andrea L. B. – Journal of Behavioral Education, 2021
Single-case experimental designs (SCEDs) are a useful tool for evaluating the effects of interventions at an individual level and can play an important role in the development and validation of evidence-based practices. Historically, researchers relied on visual analysis of SCED data and eschewed statistical approaches. Although researchers…
Descriptors: Statistical Analysis, Research Design, Research Methodology, Experiments
Mulisa, Feyisa – Interchange: A Quarterly Review of Education, 2022
In educational studies, the paradigm war over quantitative and qualitative research approaches has raged for more than half a century. The focus in the late twentieth century was on the distinction between the two approaches, and the motivation was to retain one of the approaches' supremacy. Since the early twenty-first century, there has been a…
Descriptors: Educational Research, Educational Researchers, Decision Making, Research Methodology
Jasso, Guillermina – Sociological Methods & Research, 2021
Inequality often appears in linked pairs of variables. Examples include schooling and income, income and consumption, and wealth and happiness. Consider the famous words of Veblen: "wealth confers honor." Understanding inequality requires understanding input inequality, outcome inequality, and the relation between the two--in both…
Descriptors: Input Output Analysis, Justice, Research Methodology, Social Science Research
Chattoe-Brown, Edmund – International Journal of Social Research Methodology, 2021
This article demonstrates how a technique called Agent-Based Modelling can address a significant challenge for effective interdisciplinarity. Different disciplines and research methods make divergent assertions about what a satisfactory explanation requires. However, without a unified framework analysing the implications of these differences…
Descriptors: Interdisciplinary Approach, Models, Research Methodology, Statistical Analysis
Podschuweit, Nicole – Research Ethics, 2021
This paper aims to bring into the ethical debate on covert research two aspects that are neglected to date: the perspective of the research subjects and the special responsibility of investigators towards their observers. Both aspects are falling behind, especially in quantitative social research. From a methodological point of view, quantitative…
Descriptors: Ethics, Observation, Responsibility, Research Assistants
Buckley, Jeffrey; Adams, Latif; Aribilola, Ifeoluwapo; Arshad, Iram; Azeem, Muhammad; Bracken, Lauryn; Breheny, Colette; Buckley, Ciara; Chimello, Ismael; Fagan, Alison; Fitzpatrick, Daniel P.; Garza Herrera, Diana; Gomes, Guilherme Daniel; Grassick, Shaun; Halligan, Elaine; Hirway, Amit; Hyland, Tomás; Imtiaz, Muhammad Babar; Khan, Muhammad Bilal; Lanzagorta Garcia, Eduardo; Lennon, Paul; Manaf, Eyman; Meng, Jing; Mohd Sufian, Mohd Sufino Zuhaily; Moraes, Adrielle; Osterwald, Katja Magdalena; Platonava, Anastasia; Reid, Clodagh; Renard, Michèle; Rodriguez-Barroso, Laura G.; Simonassi-Paiva, Bianca; Singh, Maulshree; Szank, Tomasz; Tahir, Mehwish; Vijayakumar, Sowmya; Ward, Cormac; Yan, Xinyu; Zainol, Ismin; Zhang, Lin – International Journal of Technology and Design Education, 2022
A high level of transparency in reported research is critical for several reasons, such as ensuring an acceptable level of trustworthiness and enabling replication. Transparency in qualitative research permits the identification of specific circumstances which are associated with findings and observations. Thus, transparency is important for the…
Descriptors: Technology Education, Educational Research, Research Methodology, Accountability
Lessons Learned from Research Collaboration among People with and without Developmental Disabilities
Kim, Julianna H.; Hughes, Oscar E.; Demissie, Sarah A.; Kunzier, Timothy J.; Cheung, W. Catherine; Monarrez, Edwin C.; Burke, Meghan M.; Rossetti, Zach – Intellectual and Developmental Disabilities, 2022
Research related to the developmental disability (DD) community should include collaboration "with" individuals with DD. Unfortunately, people with DD are infrequently involved in research projects in meaningful ways, and there is little guidance about how to collaborate equitably with researchers with DD. The purpose of this article is…
Descriptors: Developmental Disabilities, Research Methodology, Cooperation, Research
Wright, Daniel B. – British Journal of Educational Psychology, 2020
Background: Educational and developmental psychologists often examine how groups change over time. Two analytic procedures -- analysis of covariance (ANCOVA) and the gain score model -- each seem well suited for the simplest situation, with just two groups and two time points. They can produce different results, what is known as Lord's paradox.…
Descriptors: Research Methodology, Statistical Analysis, Value Added Models, Scores
Gaeta, Laura; Brydges, Christopher R. – Journal of Speech, Language, and Hearing Research, 2020
Purpose: The purpose was to examine and determine effect size distributions reported in published audiology and speech-language pathology research in order to provide researchers and clinicians with more relevant guidelines for the interpretation of potentially clinically meaningful findings. Method: Cohen's d, Hedges' g, Pearson r, and sample…
Descriptors: Speech Language Pathology, Audiology, Research, Effect Size
