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Meta Analysis Using SPSS

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 techni...

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Published 2026 · Last updated Jul 2026

Meta Analysis Using SPSS

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Course overview

Course Overview

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.

What you walk away with

Career Map & Skills You Gain

Every course adds to three macro skills. Log in to swap platform averages for your own numbers.

Financial skills

62th

percentile

Your salary vs. learners in these roles

After this course+14 pts → 76th

Data Analysis and Research specialist

72% course score

+7

Project contributor

66% course score

+7

Independent practitioner

61% course score

+6

Employability skills

71th

percentile

Quiz scores from the courses you finish

After this course+18 pts → 89th

Understand the principles, methodology, and applications of Meta-Analysis

64% course score

+6 pts

Conduct Meta-Analysis using IBM SPSS Statistics with confidence

70% course score

+7 pts

Assess effect sizes, heterogeneity, and publication bias accurately

76% course score

+8 pts

Interpret Meta-Analysis results to support evidence-based research and decision-making

82% course score

+8 pts

Life skills

48th

percentile

Life-skill test scores after each course

After this course+11 pts → 59th

Critical thinking

76% course score

+8 pts

Decision-making

71% course score

+7 pts

Confidence

68% course score

+7 pts

Curriculum

2 modules · 8 lessons · 0 min

Each module pairs the hand calculation with the same analysis in Excel, SPSS, R and Python.

Introduction to Meta Analysis
1:24
What is Meta Analysis and Why You Should Know About It?
9:04
Relationship Between Systematic Review and Meta Analysis
3:42
Locating Meta Analysis in the Family of Other Research Techniques
6:36
Is Meta-Analysis is Better than Hypothesis Testing?
3:00
Outcome of Meta Analysis: Effect Size, Forest Plot, and Publication Bias
4:05
What is Effect Size?
4:26
Understanding and Calculation of Cohen's d
3:05

Degree Track Only

This course is available inside a Degree Track and cannot be purchased separately.

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Questions

Frequently asked

Who is this course for?

This course is designed for learners who want a practical, guided path through Data Analysis and Research.

What will I learn?

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.

How long do I have access?

Your course access remains available for the lifetime of your account, including future updates to the lessons.

Is there a refund?

Yes. Eligible purchases include the platform money-back guarantee described at checkout.

We are committed to your progress

Lifetime access, mentor Q&A on every lesson, and a certificate you can share the moment you finish. If it is not right for you, the first 30 days are on us.

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