This article walks through steps to conduct a meta-analysis of Monte Carlo simulation studies. The selected Monte Carlo simulation studies focused on mixture modeling, which is becoming increasingly popular in the social and behavioral sciences. We provide details for the following steps in a meta-analysis: (a) formulating a research question; (b) identifying the relevant literature; (c) screening of the literature; (d) extracting data; (e) analyzing the data; and (f) interpreting and discussing the findings.
View Article and Find Full Text PDFObjective: The aim of the study was to determine what factors determine the quality of rehabilitation clinical practice guidelines.
Design: Six databases were searched for articles that had applied the Appraisal of Guidelines for Research & Evaluation II quality assessment tool to rehabilitation clinical practice guidelines. The 573 deduplicated abstracts were independently screened by two authors, resulting in 81 articles, the full texts of which were independently screened by two authors for Appraisal of Guidelines for Research & Evaluation II application to rehabilitation clinical practice guidelines, resulting in a final selection of 40 reviews appraising 504 clinical practice guidelines.
Objective: To evaluate the quality of rehabilitation Clinical Practice Guidelines (CPG), specifically with respect to their applicability.
Data Sources: The Medline, Embase, Web of Science, CINAHL, PsycINFO, and Cochrane Library databases were searched for papers published between 2017 and 2019 that applied the Appraisal of Guidelines for Research & Evaluation II (AGREE II) CPG quality assessment tool to rehabilitation CPGs.
Study Selection: Deduplicated abstracts (N=449) were independently screened by 2 authors, resulting in 47 articles.