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Ramlo, Susan E. – International Journal of Research & Method in Education, 2020
Within mixed methods research, a key issue is how to mix qualitative and quantitative research orientations. Similar debates arise within a mixed method called Q methodology [Q] that has an 80-year history and strong qualitative leanings. Q is often identified with the sorting of statements and the factor analysis (grouping) of people with similar…
Descriptors: Mixed Methods Research, Statistical Analysis, Q Methodology, Qualitative Research
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Gomes, Cristiano Mauro Assis; Jelihovschi, Enio – International Journal of Research & Method in Education, 2020
Regression Tree Method is not yet a mainstream method in Education, despite of being a traditional approach in Machine Learning. We advocate that this method should become mainstream in Education, since, in our point of view, it is the most suitable method to analyse complex datasets, very common in Education. This is, for example, the case of…
Descriptors: Regression (Statistics), Statistical Analysis, Educational Research, Classification
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Mueller, Claude; Mildenberger, Thoralf; Lübcke, Maren – International Journal of Research & Method in Education, 2020
Evidence-based research is becoming increasingly important in educational research. Calculation and test methods available in statistical software packages such as SPSS and STATA are widely used. To evaluate teaching innovations such as blended learning against classical classroom settings, for example, previous studies have mainly applied…
Descriptors: Blended Learning, Instructional Effectiveness, Equivalency Tests, Conventional Instruction
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Martin, Andrew J.; Collie, Rebecca J.; Durksen, Tracy L.; Burns, Emma C.; Bostwick, Keiko C. P.; Tarbetsky, Ana L. – International Journal of Research & Method in Education, 2019
This review explores predictors and consequences of students' growth goals and growth mindset in school with particular emphasis on how correlational statistical methods can be applied to illuminate key issues and implications. Study 1 used cross-sectional data and employed structural equation modelling (SEM) to investigate the role of growth…
Descriptors: Goal Orientation, Student Educational Objectives, Predictor Variables, Statistical Analysis
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Glackin, Melissa; Hohenstein, Jill – International Journal of Research & Method in Education, 2018
Teacher self-efficacy has predominantly been explored using quantitative instruments such as Likert scales-based questionnaires. Several researchers have questioned these methods, suggesting they offer only a limited view of the concept. This paper considers their claim by exploring the self-efficacy of UK secondary science teachers participating…
Descriptors: Foreign Countries, Self Efficacy, Teacher Characteristics, Faculty Development
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Gabriel, Florence; Signolet, Jason; Westwell, Martin – International Journal of Research & Method in Education, 2018
Mathematics competency is fast becoming an essential requirement in ever greater parts of day-to-day work and life. Thus, creating strategies for improving mathematics learning in students is a major goal of education research. However, doing so requires an ability to look at many aspects of mathematics learning, such as demographics and…
Descriptors: Artificial Intelligence, Mathematics Instruction, Numeracy, Models
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Wright, Daniel B. – International Journal of Research & Method in Education, 2017
Many education policies require estimating whether students in different grades are on track for achieving certain educational standards. One approach for constructing these cut scores is to estimate the values on tests that predict reaching targets on subsequent tests. Whether a student is deemed on target can affect the student's course…
Descriptors: Cutting Scores, Regression (Statistics), Elementary Secondary Education, Evaluation Methods
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Headley, Marcia Gail; Swoboda, Christopher M.; Foote, Lori – International Journal of Research & Method in Education, 2016
"What works" policies are the latest incarnation of best practices in educational research. Instituted by various organisations internationally, they define what kind of research counts as "evidence" for reform-oriented decision-making. While some countries rely on systematic analyses and meta-analyses, the U.S. favours primary…
Descriptors: Longitudinal Studies, Educational Research, Mathematics Education, Educational Policy
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Bai, Haiyan; Sivo, Stephen A.; Pan, Wei; Fan, Xitao – International Journal of Research & Method in Education, 2016
Among the commonly used resampling methods of dealing with small-sample problems, the bootstrap enjoys the widest applications because it often outperforms its counterparts. However, the bootstrap still has limitations when its operations are contemplated. Therefore, the purpose of this study is to examine an alternative, new resampling method…
Descriptors: Sampling, Structural Equation Models, Statistical Inference, Comparative Analysis
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Spybrook, Jessaca; Shi, Ran; Kelcey, Benjamin – International Journal of Research & Method in Education, 2016
This article examines the statistical precision of cluster randomized trials (CRTs) funded by the Institute of Education Sciences (IES). Specifically, it compares the total number of clusters randomized and the minimum detectable effect size (MDES) of two sets of studies, those funded in the early years of IES (2002-2004) and those funded in the…
Descriptors: Randomized Controlled Trials, Federal Aid, Public Agencies, Comparative Analysis
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Higgins, Steve; Katsipataki, Maria – International Journal of Research & Method in Education, 2016
This article reviews some of the strengths and limitations of the comparative use of meta-analysis findings, using examples from the Sutton Trust-Education Endowment Foundation Teaching and Learning "Toolkit" which summarizes a range of educational approaches to improve pupil attainment in schools. This comparative use of quantitative…
Descriptors: Meta Analysis, Educational Research, Comparative Analysis, Evidence Based Practice
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Maltese, Adam V.; Danish, Joshua A.; Bouldin, Ryan M.; Harsh, Joseph A.; Bryan, Branden – International Journal of Research & Method in Education, 2016
Engaging students in class is paramount if they are to gain a deep understanding of class content. Student engagement is manifested by attention to the various components of instruction. However, there is little research at the tertiary level focusing on what aspects of instruction are related to changes in student attention during class. To…
Descriptors: Lecture Method, Science Instruction, Learner Engagement, Attention
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Smith, Hilary A.; Haslett, Stephen J. – International Journal of Research & Method in Education, 2016
This paper discusses issues in the development of a methodology appropriate for eliciting sound quantitative data from primary school children in the complex contexts of ethnolinguistically diverse developing countries. Although these issues often occur in field-based surveys, the large extent and compound effects of their occurrence in…
Descriptors: Developing Nations, Elementary School Students, Student Surveys, Statistical Analysis
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Golino, Hudson F.; Gomes, Cristiano M. A. – International Journal of Research & Method in Education, 2016
This paper presents a non-parametric imputation technique, named random forest, from the machine learning field. The random forest procedure has two main tuning parameters: the number of trees grown in the prediction and the number of predictors used. Fifty experimental conditions were created in the imputation procedure, with different…
Descriptors: Item Response Theory, Regression (Statistics), Difficulty Level, Goodness of Fit
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Kennedy, JohnPaul; Quinn, Frances; Taylor, Neil – International Journal of Research & Method in Education, 2016
There have been many attempts over the last five decades to measure students' attitudes towards school science. Many of these studies investigated attitudes towards limited aspects of science and utilized large numbers of items to draw snapshot summaries of the educational landscape. An understanding of attitudes towards science, and how these…
Descriptors: Foreign Countries, Scientific Attitudes, Student Attitudes, Attitude Change
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