Background/Context: In meta-analyses examining educational interventions, researchers seek to understand the distribution of intervention impacts, in order to draw generalizations about what works, for whom, and under what conditions. One common way to examine equity implications in such reviews is through moderator analysis, which involves…

Single-case design (SCD) is a quantitative experimental technique in which participants serve as their own control. The use of an effect size in SCD allows evaluation of outcomes as well as comparison of outcomes via meta-analyses. Characteristics of SCD research make the selection of an appropriate effect size complicated. Additionally, there are…

Descriptive fit indices that do not require a formal statistical basis and do not specifically depend on a given estimation criterion are useful as auxiliary devices for judging the appropriateness of unrestricted or exploratory factor analytical (UFA) solutions, when the problem is to decide the most appropriate number of common factors. While…

This study aims to determine the life satisfaction of university students on the basis of gender. Using a quantitative perspective, the study aims to assess the effects of gender on life satisfaction and aims to provide a comprehensive understanding. SMD analysis method was used to evaluate the effect size of life satisfaction based on gender. In…

Researchers are encouraged to report effect size statistics to quantify treatment effects or effects due to group differences. However, estimates of effect sizes, most commonly Cohen's "d," make assumptions about the distribution of data that are not always true. An alternative nonparametric estimate of effect size, relying on the median…

Purpose: Individuals with developmental language disorder (DLD) often exhibit slower processing on time-based tasks in comparison with age-matched peers. Processing speed has been linked to various linguistic skills and might serve as a global indicator of individual differences in language abilities. Despite an extensive literature on processing…

In any meta-analysis, it is critically important to report the dispersion in effects as well as the mean effect. If an intervention has a moderate clinical impact "on average" we also need to know if the impact is moderate for all relevant populations, or if it varies from trivial in some to major in others. Or indeed, if the…

The "LFK" index has been promoted as an improved method to detect bias in meta-analysis. Putatively, its performance does not depend on the number of studies in the meta-analysis. We conducted a simulation study, comparing the "LFK" index test to three standard tests for funnel plot asymmetry in settings with smaller or larger…

To understand the current state of research, a systematic review and meta-analysis were conducted to synthesize the effects of suicide prevention gatekeeper training (GKT) on participant behavioral intention to intervene and participant suicide intervention behaviors. Included studies examined GKT with adult participants and measured either…

In the present study, we used a new approach to establish the smallest effect size of interest (SESOI) for false memory research by asking memory researchers what they considered to be the SESOI in false memory research. They were presented with three hypothetical and three influential paper scenarios. These scenarios depicted studies examining…

With the development of science and technology, the internet and communication technology are constantly expanding and affecting people's lives in many areas. The development of internet and communication technology benefits individuals and society in many ways. The ease of use and access to these technologies causes some problems. The most…

Tutoring ranks among the most versatile and potentially transformative educational tools available. Dozens of randomized experiments have evaluated preK-12 tutoring programs, varying widely in approaches, contexts, and costs. This article presents results from a systematic review and meta-analysis of tutoring field experiments. We develop a…

Outcomes of meta-analyses are increasingly used to inform evidence-based decision making in various research fields. However, a number of recent studies have reported rapid temporal changes in magnitude and significance of the reported effects which could make policy-relevant recommendations from meta-analyses to quickly go out of date. We…

Given recent evidence challenging the replicability of results in the social and behavioral sciences, critical questions have been raised about appropriate measures for determining replication success in comparing effect estimates across studies. At issue is the fact that conclusions about replication success often depend on the measure used for…

A random-effects model is often applied in meta-analysis when considerable heterogeneity among studies is observed due to the differences in patient characteristics, timeframe, treatment regimens, and other study characteristics. Since 2014, the journals "Research Synthesis Methods" and the "Annals of Internal Medicine" have…