Educational researchers continue to polarize into 'qualitative' and 'quantitative' camps, with these terms often functioning as global identity markers, rather than as styles of research that are available to anyone. Many scholars have lamented the drawbacks of researchers being siloed into opposing, apparently incommensurable research paradigms,…

Our purpose is to proffer QuantCrit methodological approaches to interrogate notions of statistical practice by convention. We present two approaches to meta-analysis and mean effect size calculations for student achievement. The first approach is the conventional approach which applies between-group differences to calculate effect sizes…

From the end of the 1970s, all teacher education programmes have been a part of academic higher education in Finland. Thus, TE has been implemented in universities and all Finnish comprehensive and upper-secondary school teachers have a master's degree. Research methods courses have been an essential part of teacher education courses for over 40…

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…

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…

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…

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…

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…

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…

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…

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…

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…

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…

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…

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…