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Meta Analysis Using SPSS
Course Overview
About This Course
Welcome to Meta-Analysis Using IBM SPSS Statistics, a comprehensive course designed to help you master the principles and practice of Meta-Analysis, one of the most powerful techniques for synthesizing evidence from multiple research studies. Whether you are a student, researcher, healthcare professional, academic, or data analyst, this course provides the knowledge and practical skills required to conduct and interpret meta-analyses using IBM SPSS Statistics.
The course begins with the fundamentals of meta-analysis, explaining its purpose, methodology, and importance in systematic reviews and evidence-based research. You will learn how to calculate and interpret effect sizes, assess heterogeneity, evaluate publication bias, perform fixed-effect and random-effects meta-analysis, explore moderator analyses, and interpret the results. Through practical demonstrations and real-world datasets, you will gain hands-on experience in conducting meta-analysis, synthesizing research findings, and reporting results according to accepted academic standards.
By the end of this course, you will have the confidence to perform meta-analysis using IBM SPSS Statistics and apply these techniques in research, systematic reviews, dissertations, and scientific publications.
Learning Outcomes
Understand the principles, methodology, and applications of Meta-Analysis.
Conduct Meta-Analysis using IBM SPSS Statistics with confidence.
Assess effect sizes, heterogeneity, and publication bias accurately.
Interpret Meta-Analysis results to support evidence-based research and decision-making.
Present Meta-Analysis findings in a professional and research-standard format.
Curriculum
Degree Track Only
This course is available inside a Degree Track and cannot be purchased separately.
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