Meta Analysis 2

This course will teach you advanced issues in meta-analysis and the statistical analyses that are used to synthesize summary data from a series of studies.

This course will teach you advanced issues in meta-analysis and the statistical analyses that are used to synthesize summary data from a series of studies.

$769 | Enroll Now
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Overview

Meta-Analysis refers to statistical analyses used to synthesize summary data from a series of studies. This course continues the course of study begun with Meta Analysis 1. Participants will briefly review material covered in Meta Analysis 1, then cover meta-regression, power analysis, interpretation of results in terms of effect-sizes and the relationship with p-values, and considerations in psychometric meta-analysis. They will also study publication bias, vote-counting, and criticisms of meta-analysis.

Intermediate Level Course
4-Week Course
100% Online Courses
Expert Instructors
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Learning Outcomes

Students who complete this course will be able to formulate a research question relevant to their area of interest in a format that is appropriate for meta-analysis. They will learn how to perform a basic literature search and how to evaluate studies for inclusion in their analysis. They will develop the ability apply the appropriate statistics to a dataset supplied by the instructor,  and to interpret the results .They will be able to demonstrate that they can apply the skills taught in this course as well as the skills they learned in Meta-Analysis 1.

  • Use fixed and random effects models appropriately
  • Conduct subgroup analyses
  • Work with multiple outcomes within studies
  • Describe and assess publication bias
  • Conduct sensitivity analysis

Who Should Take This Course

Researchers who plan to perform a meta-analysis, or who want to be able understand meta-analyses that have been published by others.

Instructors

Dr. Hannah Rothstein

Dr. Hannah Rothstein

Dr. Hannah R. Rothstein is a professor at Baruch College and the Graduate Center of the City University of New York.  She has been conducting research on the methodology and application of systematic review and meta-analysis since 1985and has published meta-analyses on a variety of topics.  Dr. Rothstein is co-developer software for meta-analysis (Comprehensive Meta-Analysis) and for power analysis (Power and Precision).Dr. Rothstein is a fellow of the Society for Industrial and Organizational Psychology and of the American Psychological Association, and is a founding member of the Society for Research Synthesis Methodology. She is an associate editor of the Journal of Research Synthesis Methodology, and currently serves on the Editorial Boards of Psychological Bulletin, Psychological Methods and Organizational Research Methods.

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Dr. Michael Borenstein

Dr. Michael Borenstein

Dr. Michael Borenstein is the Director of Biostat, a company that develops statistical software. Dr. Borenstein is the primary developer of Power And Precision, a computer program for sample size calculation, and of Comprehensive Meta Analysis, a computer program for meta analysis and systematic reviews. He served as Director of Biostatistics at Long Island Jewish Medical Center (1982-2002) and as Associate Professor at Albert Einstein College of Medicine (1992-2002). Dr. Borenstein has served on a number of review groups and advisory panels for the National Institutes of Health, including SBIR review groups (1994-2002) and as a member of the NIMH Data Safety Monitoring Board (1997-2001). He is an active member of the statistical advisory groups of the Cochrane and Campbell Collaborations.

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Course Syllabus

Week 1

  • Review of basic issues in meta-analysis
    • Effect Sizes
    • Fixed and Random Effects
    • Heterogeneity
    • Prediction Intervals

Week 2

  • Meta-Analysis in the Context of a Systematic Review
  • Formulating a Research Question
  • Searching the Literature
  • Developing Inclusion and Exclusion Criteria

Week 3

  • Assessing Study Quality
  • Creating a Coding Sheet
  • Calculating Effect Sizes

Week 4

  • Analyzing a dataset
  • Testing for Publication Bias
  • Interpretation of analyses

Class Dates

2022

Aug 19, 2022 to Sep 16, 2022

2023

Aug 18, 2023 to Sep 15, 2023

2024

Aug 16, 2024 to Sep 13, 2024

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Prerequisites

The courses listed below are prerequisites for enrollment in this course:

Course

Meta Analysis 1

This course will explain meta analysis and the methods that are used to assess multiple statistical studies on the same subject and draw conclusions.
Topic: Statistics, Biostatistics | Skill: Intermediate | Credit Options: CEU
Class Start Dates: Jul 15, 2022, Nov 18, 2022, Jul 14, 2023, Nov 17, 2023

What Our Students Say​

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I will be using the methodology of meta-analysis for my dissertation which is on effective schools. This will help me in my work as I am a principal of an elementary school and want to know which strategies have the greatest impact on student achievement

Debra Prenkert
Monroe County Community School Corporation
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More and more medical students are submitting systematic reviews and associated meta-analyses, to meet research exposure requirements, in the Basic Sciences Programs of their medical school education, here in the Caribbean. The course provided me with a unique and much appreciated opportunity to learn much more about the technique, its underlying principles, and how to correctly apply the tool whenever evaluating a collection of primary studies. Time and energies committed to the course have been very well spent.

William Keller
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Frequently Asked Questions

What is your satisfaction guarantee and how does it work?

We offer a “Student Satisfaction Guarantee​” that includes a tuition-back guarantee, so go ahead and take our courses risk free. That’s our commitment to student satisfaction. Students may cancel, transfer, or withdraw from a course under certain conditions. If you’re not satisfied with a course, you may withdraw from the course and receive a tuition refund.

Please see our knowledge center for more information.

Who are the instructors at the Institute?

The Institute has more than 60 instructors who are recruited based on their expertise in various areas in statistics. Our faculty members are:

  • Authors of well-regarded texts in their area;
  • Advisory board members;
  • Senior faculty; and
  • Educators who have made important contributions to the field of statistics or online education in statistics.

The majority of our instructors have more than five years of teaching experience online at the Institute.

Please visit our faculty page for more information on each instructor at The Institute for Statistics Education.

Please see our knowledge center for more information.

What type of courses does the Institute offer?

The Institute offers approximately 80 courses each year. Topics include basic survey courses for novices, a full sequence of introductory statistics courses, bridge courses to more advanced topics. Our courses cover a range of topics including biostatistics, research statistics, data mining, business analytics, survey statistics, and environmental statistics.

Please see our course search or knowledge center for more information.

Do your courses have for-credit options?

Our courses have several for-credit options:

  • Continuing education units (CEU)
  • College credit through The American Council on Education (ACE CREDIT)
  • Course credits that are transferable to the INFORMS Certified Analytics Professional (CAP®)

Please see our knowledge center for more information.

Is the Institute for Statistics Education certified?

The Institute for Statistics Education is certified to operate by the State Council of Higher Education for Virginia (SCHEV). For more information visit: https://www.schev.edu/

Please see our knowledge center for more information.

Visit our knowledge base and learn more.

FAQs + Knowledge Base

Related Courses

Introduction to Network Analysis

Meta Analysis in R

The course covers the fundamentals of the fixed and random effects models for meta-analysis, the assessment of heterogeneity, and evaluating bias.
Topic: Statistics, Biostatistics | Skill: Intermediate | Credit Options: CEU
Class Start Dates: Oct 14, 2022, Oct 13, 2023

Additional Course Information

Organization of Course

This course takes place online at The Institute for 4 weeks. During each course week, you participate at times of your own choosing – there are no set times when you must be online. Course participants will be given access to a private discussion board. In class discussions led by the instructor, you can post questions, seek clarification, and interact with your fellow students and the instructor.

At the beginning of each week, you receive the relevant material, in addition to answers to exercises from the previous session. During the week, you are expected to go over the course materials, work through exercises, and submit answers. Discussion among participants is encouraged. The instructor will provide answers and comments, and at the end of the week, you will receive individual feedback on your homework answers.

Time Requirements

This is a 4-week course requiring 10-15 hours per week of review and study, at times of your choosing.

Homework

Homework in this course consists of short answer questions to test concepts and guided data analysis problems using software.

In addition to assigned readings, this course also has an end of course data modeling project, short narrated software demos, and supplemental readings available online.

Course Text

There are two required course texts:  the first is Introduction to Meta-Analysis, by Borenstein, Hedges and Higgins, the second is Research Synthesis and Meta-Analysis: A Step by Step Approach, 5th edition, by Cooper.

Be sure to order these texts prior to the course start date.

Software

The course includes illustrations and exercises using Microsoft Excel.  Participants will also be given access to the software Comprehensive Meta-Analysis during the first week of the course, and will learn how to use this program to conduct advanced analyses.

Please be aware that this software program is for Windows only, and will not run on Mac OS platforms.

Software Uses and Descriptions | Available Free Versions
To learn more about the software used in this course, or how to obtain free versions of software used in our courses, please read our knowledge base article “What software is used in courses?” 

Course Fee & Information

Enrollment
Courses may fill up at any time and registrations are processed in the order in which they are received. Your registration will be confirmed for the first available course date unless you specify otherwise.

Transfers and Withdrawals
We have flexible policies to transfer to another course or withdraw if necessary.

Group Rates
Contact us to get information on group rates.

Discounts
Academic affiliation?  In most courses you are eligible for a discount at checkout.

New to Statistics.com?  Click here for a special introductory discount code.  

Invoice or Purchase Order
Add $50 service fee if you require a prior invoice, or if you need to submit a purchase order or voucher, pay by wire transfer or EFT, or refund and reprocess a prior payment.

Options for Credit and Recognition

This course is eligible for the following credit and recognition options:

No Credit
You may take this course without pursuing credit or a record of completion.

Mastery or Certificate Program Credit
If you are enrolled in mastery or certificate program that requires demonstration of proficiency in this subject, your course work may be assessed for a grade.

CEUs and Proof of Completion
If you require a “Record of Course Completion” along with professional development credit in the form of Continuing Education Units (CEU’s), upon successfully completing the course, CEU’s and a record of course completion will be issued by The Institute upon your request.

Supplemental Information

There is no supplemental content for this course.

Miscellaneous

There is no additional information for this course.

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Meta Analysis 2
$769 | Enroll Now
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