Systematic Review
Instructor: Mariola Moeyaert
Software: AI and Data Management Tools
Lectures: 9 hours
Evergreen Content: Continually updated
Lifetime Access: Materials never expire
On-Site Training Available: Learn More
Professional: $599
Student: $449
Systematic Review provides hands-on exposure to the process involved in systematically reviewing evidence in preparation for running a meta-analysis (i.e., statistically combining effect sizes obtained from the systematic review). Being able to conduct a rigorous systematic review is critically important as this contributes to evidence-based theory, practice, and policy. During the course, participants learn how to formulate appropriate research questions, develop inclusion and exclusion criteria, compose search strings, evaluate study quality, retrieve literature using a multitude of resources (e.g., online databases and citation searches), select reports meeting eligibility criteria, retrieve raw data from full texts, and compile a meta-analytic dataset. Examples from the social sciences and the medical field are integrated into the lectures. The usage of generative AI is integrated and demonstrated throughout each step of the systematic review process. The lectures are supplemented with live demonstrations in online databases, and in free reference, data management tools such as rayyan.ai.
3:08 Class Content / 7:04 Materials Provided / 7:18 Learning Objectives
Instructor
Mariola Moeyaert
Mariola Moeyaert obtained her PhD in Educational Statistics in 2014 from the University of Leuven (Belgium) and worked as a Postdoctoral fellow at the Center of Advanced Study in Education at the City University of New York. She joined the faculty of Educational Psychology and Methodology at the University at Albany in the Fall of 2015 where she is currently an Associate Professor. Her major research interests and publications are in the field of multilevel analysis, meta-analysis, and interrupted time series.... Read More
Workshop Details
Reviews
Reviews from Dr. Moeyaert's previous classes taught at University of Albany:
Dr. Moeyaert is the first math teacher/professor I’ve ever had who made math interesting, fun, and not so hard to learn. She is amazing and she knows the subject top to bottom.
This was one of the single best courses I have taken at SUNY Albany. It was challenging beyond compare, but Professor Moeyaert always provided comprehensive and concise instruction and explanation.
Dr. Moeyaert is hands down one of the best and most understanding professors I have ever had the pleasure of learning from. I have learned so much in this course and I owe all of it to Dr. Moeyaert.
This class was very helpful because although I have read many systematic reviews and meta-analyses, I did not know exactly what they entailed and how complex they can be. All of the extra resources Mariola provides are also very helpful and useful for future projects and classes. Thank you for all your help, Mariola!
I'm so happy to have taken this class taught by Professor Moeyaert. She was always extremely prepared, attentive, responsive, and it shows that she truly cares about the success of her students. One of my favorite professors. I aspire to be even as partially as accomplished and knowledgeable as she is in meta-analysis and methodology.
meta-analysis, meta analytic, meta analytic review, meta synthesis, quantitative review, research synthesis, systematic review, systematic literature review, evidence synthesis, pooled analysis, pooled estimate, effect size, summary effect, combined effect, random effects model, fixed effect model, heterogeneity, between study heterogeneity, publication bias, forest plot, funnel plot, subgroup analysis, moderator analysis, sensitivity analysis, PRISMA, protocol, comprehensive search, literature search, inclusion criteria, exclusion criteria, study selection, data extraction, risk of bias, quality assessment, study quality, methodological quality, screening, eligibility, synthesis of findings, evidence review, Mariola Moeyaert, ChatGPT, Elicit, Consensus AI, Consensus GPT, ResearchRabbit, Connected Papers, LitMaps, scite assistant, GenAI, RobotReviewer, 2dSearch, PRISMA, Covidence, EPPI-reviewer, SWIFT active screener, Web of Sciences, PsycINFO, Rayyan.ai, PRISMAStatement,
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