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Lund, Thorleif – Scandinavian Journal of Educational Research, 2022
Criteria are briefly proposed for final conclusions, research problems, and research hypotheses in quantitative research. Moreover, based on a proposed definition of applied and basic/general research, it is argued that (1) in applied quantitative research, while research problems are necessary, research hypotheses are unjustified, and that (2) in…
Descriptors: Research Problems, Research Methodology, Hypothesis Testing, Statistical Analysis
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
Kang, Yoonjeong; Hancock, Gregory R. – Journal of Experimental Education, 2017
Structured means analysis is a very useful approach for testing hypotheses about population means on latent constructs. In such models, a z test is most commonly used for testing the statistical significance of the relevant parameter estimates or of the differences between parameter estimates, where a z value is computed based on the asymptotic…
Descriptors: Models, Statistical Analysis, Hypothesis Testing, Statistical Significance
Huber, Stephan Gerhard; Helm, Christoph – Educational Assessment, Evaluation and Accountability, 2020
The crisis caused by the COVID-19 virus has far-reaching effects in the field of education, as schools were closed in March 2020 in many countries around the world. In this article, we present and discuss the School Barometer, a fast survey (in terms of reaction time, time to answer and dissemination time) that was conducted in Germany, Austria…
Descriptors: Disease Control, School Closing, Educational Policy, Surveys
McGrath, April – Teaching & Learning Inquiry, 2016
Quantitative results from empirical studies are common in the field of Scholarship of Teaching and Learning (SoTL), but it is important to remain aware of what the results from our studies can, and cannot, tell us. Oftentimes studies conducted to examine teaching and learning are constrained by class size. Small sample sizes negatively influence…
Descriptors: Scholarship, Instruction, Learning, Class Size
Bainter, Sierra A.; Curran, Patrick J. – Journal of Cognition and Development, 2015
Amid recent progress in cognitive development research, high-quality data resources are accumulating, and data sharing and secondary data analysis are becoming increasingly valuable tools. Integrative data analysis (IDA) is an exciting analytical framework that can enhance secondary data analysis in powerful ways. IDA pools item-level data across…
Descriptors: Data Analysis, Integrated Activities, Inferences, Statistical Analysis
Suzic, Nenad – Research in Pedagogy, 2017
This paper sets out to tackle the issue of the criteria which should be met prior to submission of papers to indexed scientific journals. Firstly, the author addresses the field of qualitative research and tries to define the general characteristics of such works, and secondly, some clarification is brought with respect to the imbalance between…
Descriptors: Writing for Publication, Scholarship, Periodicals, Sciences
Åsvoll, Håvard – International Journal of Qualitative Studies in Education (QSE), 2014
Within the area of interpretative case studies, there appears to be a vast amount of literature about theoretical interpretations as the main analytical strategy. In light of this theoretically based strategy in case studies, this article presents an extended perspective based on Charles Sanders Peirce's concepts of abduction, deduction and…
Descriptors: Case Studies, Qualitative Research, Research Methodology, Theories
Stegmann, Karsten – Frontline Learning Research, 2014
Due to the nature of collaborative learning, realising perfectly controlled experiments often requires an unreasonable amount of resources and sometimes it is not possible at all. Against this background, I propose to augment as good as feasible experimental design with a nomological net of relations between instructional support (intervention),…
Descriptors: Computer Uses in Education, Cooperative Learning, Research Design, Construct Validity
Gorin, Joanna S. – Teachers College Record, 2014
Background/Context: Principles of evidential reasoning have often been discussed in the context of educational and psychological measurement with respect to construct validity and validity arguments. More recently, Mislevy proposed the metaphor of assessment as an evidentiary argument about students' learning and abilities given their…
Descriptors: Educational Assessment, Educational Practices, Barriers, Evidence
Newman, Denis; Jaciw, Andrew P. – Empirical Education Inc., 2012
The motivation for this paper is the authors' recent work on several randomized control trials in which they found the primary result, which averaged across subgroups or sites, to be moderated by demographic or site characteristics. They are led to examine a distinction that the Institute of Education Sciences (IES) makes between "confirmatory"…
Descriptors: Educational Research, Research Methodology, Research Design, Classification
Rosenkranz, Patrick; Fielden, Amy; Tzemou, Effy – Psychology Teaching Review, 2014
Research methods teaching in psychology is pivotal in preparing students for the transition from student as learner to independent practitioner. We took an action research approach to re-design, implement and evaluate a module guiding students through a programmatic and pragmatic research cycle. These revisions allow students to experience how…
Descriptors: Teaching Methods, Psychology, Research Methodology, Action Research
Kuiper, Rebecca M.; Hoijtink, Herbert – Psychological Methods, 2010
This article discusses comparisons of means using exploratory and confirmatory approaches. Three methods are discussed: hypothesis testing, model selection based on information criteria, and Bayesian model selection. Throughout the article, an example is used to illustrate and evaluate the two approaches and the three methods. We demonstrate that…
Descriptors: Models, Testing, Hypothesis Testing, Probability
Swaminathan, Hariharan; Horner, Robert H.; Rogers, H. Jane; Sugai, George – Society for Research on Educational Effectiveness, 2012
This study is aimed at addressing the criticisms that have been leveled at the currently available statistical procedures for analyzing single subject designs (SSD). One of the vexing problems in the analysis of SSD is in the assessment of the effect of intervention. Serial dependence notwithstanding, the linear model approach that has been…
Descriptors: Evidence, Effect Size, Research Methodology, Intervention
Klugkist, Irene; van Wesel, Floryt; Bullens, Jessie – International Journal of Behavioral Development, 2011
Null hypothesis testing (NHT) is the most commonly used tool in empirical psychological research even though it has several known limitations. It is argued that since the hypotheses evaluated with NHT do not reflect the research-question or theory of the researchers, conclusions from NHT must be formulated with great modesty, that is, they cannot…
Descriptors: Psychological Studies, Hypothesis Testing, Researchers, Evaluation Methods