Meta-analyses examining dichotomous outcomes often include single-zero studies, where no events occur in intervention or control groups. These pose challenges, and several methods have been proposed to address them. A fixed continuity correction method has been shown to bias estimates, but it is frequently used because sometimes software (e.g.,…

Background: Self-related information is difficult to ignore and forget, which brings valuable implications for educational practice. Self-referential encoding techniques involve integrating self-referencing cues during the processing of learning material. However, the evidence base and effective implementation boundaries for these techniques in…

This paper considers the problem in aggregate data meta-analysis of studies reporting multiple competing binary outcomes and of studies using different summary formats for those outcomes. For example, some may report numbers of patients with at least one of each outcome while others may report the total number of such outcomes. We develop a shared…

Recently, machine learning (ML) has evolved and finds its application in higher education (HE) for various data analysis. Studies have shown that such an emerging field in educational technology provides meaningful insights into several dimensions of educational quality. An in-depth analysis of the application of ML could have a positive impact on…

This study was carried out to determine the effectiveness of the Flipped Classroom Model (FCM) in an educational setting. For this purpose, a multi-complementary approach (MCA) was used including both quantitative (meta-analysis) and qualitative (thematic). MCA consists of three parts, the first of which is the pre-complementary information stage.…

The ageing of the European population is creating a new demographic mix, increasing the relevance of intergenerational practice (IGP). To date, however, this field lacks an appropriate conceptual framework. This study aims to contribute to such a framework through an integrative review of peer-reviewed papers reporting on IGPs. Fifteen papers were…

Combining multiple regression estimates with meta-analysis has continued to be a difficult task. A variety of methods have been proposed and used to combine multiple regression slope estimates with meta-analysis, however, most of these methods have serious methodological and practical limitations. The purpose of this study was to explore the use…

Although collaboration is recognized as an effective means to address multifaceted community issues, successful collaboration is difficult to achieve and failure is prevalent. To effectively collaborate, collaborators must recognize the strengths and weaknesses within their own efforts. Using Mattessich and colleagues' work as a springboard, a…

Research synthesis of evaluation findings is a multistep process. An investigator identifies a research question, acquires the relevant literature, codes findings from that literature, and analyzes the coded data to estimate the average treatment effect and its distribution in a population of interest. The process of estimating the average…

A review of 13 years of research into antecedents of university students' grade point average (GPA) scores generated the following: a comprehensive, conceptual map of known correlates of tertiary GPA; assessment of the magnitude of average, weighted correlations with GPA; and tests of multivariate models of GPA correlates within and across…

Good quantitative evidence does not require large, aggregate group designs. The authors describe ground-breaking work in managing the conceptual and practical demands in developing meta-analytic strategies for single subject designs in an effort to add to evidence-based practice. (Contains 2 figures.)

In this article, the authors present a multilevel (or hierarchical linear) model that illustrates issues in the application of the model to data from meta-analytic studies. In doing so, several issues are discussed that typically arise in the course of a meta-analysis. These include the presence of non-zero between-study variability, how multiple…

Presents a framework for judging evaluations on the basis of their potential for democratic deliberation that includes the interrelated requirements of inclusion, dialogue, and deliberation. Operationalizes these requirements in 10 questions to guide evaluation and meta-evaluation from a democratic viewpoint. (SLD)

Study (a) describes the hierarchical linear models approach to answer general meta-analytical questions for single-case data; (b) compares the approach with the Busk and Serlin approach; (c) presents hierarchical linear models that can be used in various situations for quantitative integration of single-case data; and (d) shows how the SAS…

In a response to comments by P. T. Costa, Jr., and R. R. McCrae on the current authors' original article, the authors show that Costa and McCrae's writings on personality suggest a belief in immutability of personality traits. The authors agree with Costa and McCrae that new personality trait models that provide an accurate lower order structure…