The application of network meta-analysis is becoming increasingly widespread, and for a successful implementation, it requires that the direct comparison result and the indirect comparison result should be consistent. Because of this, a proper detection of inconsistency is often a key issue in network meta-analysis as whether the results can be…

Network meta-analysis (NMA) incorporates all available evidence into a general statistical framework for comparing multiple treatments. Standard NMAs make three major assumptions, namely homogeneity, similarity, and consistency, and violating these assumptions threatens an NMA's validity. In this article, we suggest a graphical approach to…

Component network meta-analysis (CNMA) compares treatments comprising multiple components and estimates the effects of individual components. For network meta-analysis, a standard network plot with nodes for treatments and edges for direct comparisons between treatments is drawn to visualize the evidence structure and the connections between…

During drug development, a biomarker is sometimes identified as separating a patient population into those with more and those with less benefit from evaluated treatments. Consequently, later studies might be targeted, while earlier ones are performed in mixed patient populations. This poses a challenge in evidence synthesis, especially if only…

Network meta-analysis is a popular method to synthesize the information obtained in a systematic review of studies (e.g., randomized clinical trials) involving subsets of multiple treatments of interest. The dominant method of analysis employs within-study information on treatment contrasts and integrates this over a network of studies. One…

Network meta-analysis (NMA) uses both direct and indirect evidence to compare the efficacy and harm between several treatments. Structural equation modeling (SEM) is a statistical method that investigates relations among observed and latent variables. Previous studies have shown that the contrast-based Lu-Ades model for NMA can be implemented in…

Studies combined in a meta-analysis often have differences in their design and conduct that can lead to heterogeneous results. A random-effects model accounts for these differences in the underlying study effects, which includes a heterogeneity variance parameter. The DerSimonian-Laird method is often used to estimate the heterogeneity variance,…

Varying methods for evaluating the outcomes of single case research designs (SCD) are currently used in reviews and meta-analyses of interventions. Quantitative effect size measures are often presented alongside visual analysis conclusions. Six measures across two classes--overlap measures (percentage non-overlapping data, improvement rate…

Background: Syntax is a language skill purported to support children's reading comprehension. However, researchers who have examined whether children with average and below-average reading comprehension score significantly different on spoken-syntax assessments report inconsistent results. Aims: To determine if differences in how syntax is…

Although investigations into evaluation theories, methods, and practices have been occurring since the late 1970s, research on evaluation (RoE) has seemingly increased in the past decade. In this review, 257 studies published in 14 evaluation-focused journals over a 10-year period (between 2005 and 2014) were identified as RoE and then classified…

As online educational programs and courses increase (Allen & Seaman, [Allen, I. E., 2014]), it is important to understand the benefits and limitations of this delivery format when assessing students and when comparing learning outcomes. This article addresses the following two questions: (1) What are some of the best practices in assessing…

Background: Personality is reliably associated with academic performance, but personality measurement in primary education can be problematic. Young children find it difficult to accurately self-rate personality, and dominant models of adult personality may be inappropriate for children. Aims: This meta-analysis was conducted to determine the…

Meta-assessment, or the assessment of assessment, can provide meaningful information about the trustworthiness of an academic program's assessment results (Bresciani, Gardner, & Hickmott, 2009; Palomba & Banta, 1999; Suskie, 2009). Many institutions conduct meta-assessments for their academic programs (Fulcher, Swain, & Orem, 2012),…

A meta-analysis of the relationship between attitudes in reading and achievement in reading was conducted to provide a statistical summary to the observed variability in the magnitude of previously reported effect sizes. A total of 32 studies, with a total sample size of 224,615 were used, and included a total of 118 effect sizes. A multi-level…

Objective: The authors conducted a meta-analysis of empirical studies investigating associations between indices of posttraumatic stress disorder (PTSD) and intimate relationship problems to empirically synthesize this literature. Method: A literature search using PsycINFO, Medline, Published International Literature on Traumatic Stress (PILOTS),…