Computational models of child language development can help us understand the cognitive underpinnings of the language learning process, which occurs along several linguistic levels at once (e.g., prosodic and phonological). However, in light of the replication crisis, modelers face the challenge of selecting representative and consolidated infant…

The present meta-analysis aimed to improve on Involvement Load Hypothesis (ILH) by incorporating it into a broader framework that predicts incidental vocabulary learning. Studies testing the ILH were systematically collected and 42 studies meeting our inclusion criteria were analyzed. The model-selection approach was used to determine the optimal…

The Hartung-Knapp method for random-effects meta-analysis, that was also independently proposed by Sidik and Jonkman, is becoming advocated for general use. This method has previously been justified by taking all estimated variances as known and using a different pivotal quantity to the more conventional one when making inferences about the…

Meta-analytic structural equation modeling (MASEM) combines the techniques of meta-analysis and structural equation modeling for the purpose of synthesizing correlation or covariance matrices and fitting structural equation models on the pooled correlation or covariance matrix. Both fixed-effects and random-effects models can be defined in MASEM.…

Background: Stratified medicine seeks to identify patients most likely to respond to treatment. Individual participant data (IPD) network meta-analysis (NMA) models have greater power than individual trials to identify treatment-covariate interactions (TCIs). Treatment-covariate interactions contain "within" and "across" trial…

Purpose: The purpose of this paper is to provide a justified, legitimate and validated model on entrepreneurship education programmes (EEPs), by combining recent research and scholarship in leading edge entrepreneurship education (EE). Design/methodology/approach: A systematic literature review of recent EE research and scholarship is followed by…

Bayesian statistical approaches to mixed treatment comparisons (MTCs) are becoming more popular because of their flexibility and interpretability. Many randomized clinical trials report multiple outcomes with possible inherent correlations. Moreover, MTC data are typically sparse (although richer than standard meta-analysis, comparing only two…

Given the volatile nature of American higher education, the need for institutions to promote a distinct purpose has become critical. For Protestant colleges and universities, the historical answer to questions of identity has traditionally been the "integration of faith and learning." Scholars have focused on this concept since its…

The association between object play and intentional communication was examined in children with autism spectrum disorder (ASD). Meta-analysis of concurrent and longitudinal correlational studies revealed significant associations between object play and intentional communication in young children with ASD. One well-conducted and internally valid,…

Models of stress and health suggest that emotions mediate the effects of stress on health; yet meta-analytic reviews have not confirmed these relationships. Categorizations of emotions along broad dimensions such as valence (e.g., positive and negative affect) may obscure important information about the effects of specific emotions on physiology.…

This article conceptually describes the steps in conducting quantitative meta-analyses of counseling psychology research with minimal reliance on statistical formulas. The authors identify sources that describe necessary statistical formula for various meta-analytic calculations and describe recent developments in meta-analytic techniques. The…