Creating its own learner corpus, this research proposed to analyze and classify the transition markers used in solo presentation by 30 Thai engineering students based on Hyland (2019)'s Marker Categorization in Textual Metadiscourse. This research also aimed to identify and compare the quantities of individual transition markers among three groups…

Reading proficiency is important because it has life-long consequences and influences success in other academic areas. Many students with behavior problems are poor readers and many students with learning disabilities have more behavior problems than their typical peers. We conducted a correlational meta-analysis to examine the association between…

The topic of praise and more specifically, behavior-specific praise, in special education is complex. It requires an investigation of multiple types of praise in a variety of settings and a variety of individuals with even more severe intellectual and developmental disabilities and other impairments (IDDI). Historically, in much research,…

Network meta-analysis compares multiple treatments from studies that form a connected network of evidence. However, for complex networks, it is not easy to see if the network is connected. We use simple techniques from graph theory to test the connectedness of evidence networks in network meta-analysis. The method is to build the adjacency matrix…

Higher education research, while a specialist and late developing field, has reached a level of maturity such that researchers have recently been endeavouring to summarize and synthesize what has been learnt. This article identifies and analyses many of the systematic reviews and meta-analyses of areas or aspects of higher education research that…

STEM education is applied to raise individuals having 21st-century skills based on the integration of science, technology, engineering, and mathematics. This paper aims to present the overall effect of STEM education on students' academic achievement by analyzing 64 research findings obtained from 56 quantitative studies published between 2014 and…

Meta-analytic reviews collect available empirical studies on a specified domain and calculate the average effect of a factor. Educators as well as researchers exploring a new domain of inquiry may rely on the conclusions from meta-analytic reviews rather than reading multiple primary studies. This article calls for caution in this regard because…

Background: The experience of cognitive deficits is common among patients with degenerative and psychiatric disorders. Objective: The present study aimed to evaluate the effect of the empirical literature of mindfulness intervention on cognitive functions. Methods: This study was conducted in June 2020 by using the scientific records were…

Background: In testing contexts that are predominately concerned with power, rapid guessing (RG) has the potential to undermine the validity of inferences made from educational assessments, as such responses are unreflective of the knowledge, skills, and abilities assessed. Given this concern, practitioners/researchers have utilized a multitude of…

This meta-analysis examined the effectiveness of an additional gloss mode in single versus dual and dual versus triple glossing on second language (L2) learners' word learning. In total, 22 studies, providing 26 independent effect sizes, were coded, and 11 moderator variables including quality of data sample, learner variables, gloss features,…

The disparity in the results of the study of the correlation between religiosity and multiple intelligences is an important use of meta-analysis, so that it can be used as credible literature by looking at multiple intelligences not only as analytical intelligence. This study involved 3242 samples that varied, age, culture, and academics, from 18…

A variety of measures have been developed to quantify intervention effects for single-case experimental design studies. Within the family of non-overlap indices, the Tau-U measure is one of the most popular indices. There are several Tau-U variants, each one calculated differently. The appropriateness of each Tau-U variant depends upon the data…

Hierarchical linear modeling (HLM) has been recommended as a meta-analytic technique for the quantitative synthesis of single-case experimental design (SCED) studies. The HLM approach is flexible and can model a variety of different SCED data complexities, such as intervention heterogeneity. A major advantage of using HLM is that participant…

Background: Rigorous meta-analysis holds promise to answer the ultimate important question in education: which interventions work and for whom? Evidence-based reform in education has contributed to a proliferation of well-designed experiments in recent years, which calls for updated systematic reviews. However, this proliferation is a double-edged…

This dissertation is a three-piece dissertation, including two empirical research (Chapter 1 and Chapter 2) and a methodological improvement of prior work (Chapter 3), to address issues of the effects of approaches to learning on academic achievement in childhood and power analysis for a three-level model in meta-analysis. Approaches to learning…