To conduct a multilevel meta-analysis of multiple single-case experimental design (SCED) studies, the individual participant data (IPD) can be analyzed in one or two stages. In the one-stage approach, a multilevel model is estimated based on the raw data. In the two-stage approach, an effect size is calculated for each participant and these effect…

Multilevel meta-analysis is an innovative synthesis technique used for the quantitative integration of effect size estimates across participants and across studies. The quantitative summary allows for objective, evidence-based, and informed decisions in research, practice, and policy. Based on previous methodological work, the technique results in…

The purpose of this research is to analyze the studies conducted in Turkey and abroad concerning flipped learning model from various perspectives. Eighty studies were included in this research consisting of 34 studies in Turkey and 46 studies abroad. The studies examined within the scope of this research were reached using various databases. The…

Attempts have been made to identify behavior patterns peculiar to leadership by many institutions and organizations; also numerous studies have been conducted in this area. Of all these organizations, The Interstate School Leaders Licensure Consortium (ISLLC) identifies the definitive standards of school leadership. Examining these standards in…

Adelman, Marquis, Sabatos-DeVito, and Estes (2013) collected word naming latencies from 4 participants who read 2,820 words 50 times each. Their recommendation and practice was that R2 targets set for models should take into account subject idiosyncrasies as replicable patterns, equivalent to a subjects-as-fixed-effects assumption. In light of an…

One of the vexing problems in the analysis of SSD is in the assessment of the effect of intervention. Serial dependence notwithstanding, the linear model approach that has been advanced involves, in general, the fitting of regression lines (or curves) to the set of observations within each phase of the design and comparing the parameters of these…

Data from single case designs (SCDs) have traditionally been analyzed by visual inspection rather than statistical models. As a consequence, effect sizes have been of little interest. Lately, some effect-size estimators have been proposed, but most are either (i) nonparametric, and/or (ii) based on an analogy incompatible with effect sizes from…

Numerous ways to meta-analyze single-case data have been proposed in the literature, however, consensus on the most appropriate method has not been reached. One method that has been proposed involves multilevel modeling. This study used Monte Carlo methods to examine the appropriateness of Van den Noortgate and Onghena's (2008) raw data multilevel…

Background: Using meta-analytic review techniques, this study synthesized the results of 79 unpublished studies about the nature of transformational school leadership (TSL) and its impact on the school organization, teachers, and students. This corpus of research associates TSL with 11 specific leadership practices. These practices, as a whole,…

In this study, we meta-analyzed empirical research of the effectiveness of intelligent tutoring systems (ITS) on K-12 students' mathematical learning. A total of 26 reports containing 34 independent samples met study inclusion criteria. The reports appeared between 1997 and 2010. The majority of included studies compared the effectiveness of ITS…

This article elaborates on the centrality of interventions for social work practice and the importance of understanding the effects of interventions for a more efficient, harmless, transparent, and ethical social work practice. Low-bias research designs and meta-analyses are important means of generating the best possible evidence on what works in…

Evidence-based practice approaches to interventions has come of age and promises to provide a new standard of excellence for school psychologists. This article describes several definitions of evidence-based practice and the problems associated with traditional statistical analyses that rely on rejection of the null hypothesis for the…

Presents a two-pronged attempt to synthesize the research on stress coping: (1) a review of models and taxonomies of behaviors and resources related to stress coping and (2) a meta-analysis of recent experimental and quasi-experimental studies of stress coping. A taxonomy and a model of stress coping are offered, and implications for treatment are…

Argues that generalizing to message populations by treating messages as a random variable is inappropriate for complex messages, and proposes meta-analytic techniques for investigating biases in message samples and other methodological factors that can limit generalizability of communication research. (MS)

This paper focuses on transition programs for youth to postsecondary education, broadly considered. It addresses the following questions: (1) What models or programs of transition exist? (2) On what basis can we say one transition program is more effective than another? In other words, how is successful transition defined? (3) How are…