meta-analysis
Presented by William M. Bannon, Jr., PhD
About the course
The class will be held from January 20, 2025 to February 27, 2025. The early registration fee of $250 covers the cost of registration and all course materials. Early registration will close on December 27, 2024 (Midnight, EST). After that date, the full registration fee of $300 will apply.
Contact Dr. Bannon at the email address: wb2005@caa.columbia.edu with any issues regarding registration. After registration, you will receive an email message confirming your registration in the webinar class.
Registration
Select a method below to purchase a seat in the next Meta-Analysis 6-week webinar class. Please email Dr. Bannon at: wb2005@caa.columbia.edu if you would like to register by check.
Use the button below to register via Paypal or a Credit/Debit Card.
The Thought Process Behind This Course
Meta-Analysis has become a widely used statistical tool for synthesizing the results of several independent studies. In short, Meta-Analysis can combine information from many relevant studies to best estimate the overall effect of factors on important study outcomes. However, there are several important issues and considerations that must be made to be certain a Meta-Analysis is valid and effective. Therefore, this 6-week webinar program has been created to review not only how to conduct a Meta-Analysis, but also examine all the unique issues involved within this statistical process and the interpretation of the Meta-analytic findings.
Course Objectives
The objective of this webinar program is to enable the participant to structure and implement a Meta-Analysis study, as well as effectively grasp the concept of Meta-Analysis and the relevant issues and considerations involved in conducting a Meta-Analysis study. To meet this objective, attendees will meet a list of smaller objectives that include (but are not limited to):
1. Learn how to conduct a Meta-Analysis study: Using the SPSS statistical software, step-by-step guidance will be provided in detail regarding how to structure and implement a full Meta-Analysis study.
2. Learn how to select studies for a Meta-Analysis: Instruction will be provided regarding how to locate studies appropriate for a Meta-Analysis study. A full array of issues and criteria for inclusion, including publication bias, will be addressed.
3. Coding Data: Learn how to extract data from appropriate studies and code these data for inclusion in a Meta-Analysis study.
4. Computing effect sizes: Learn how to compute various effect sizes that estimate the magnitude of the effect upon outcomes.
5. Learn how to assess Meta-Analysis models: Study participants will learn how to assess both fixed and random effects Meta-Analysis models.
6. Publishing findings: Attendees will learn how to conduct the write-up and report the results of the Meta-Analysis in manuscript form.
Course Features
Several resources are provided to meet the objectives, including weekly presentations, personalized attention, and written materials. Specifically, the webinar features include:
1. Weekly Webinar Presentations: A 1-hour (approximately) webinar presentation will be made available to participants every Monday during the 6-week duration of the program (emailed to the attendee by 9 am EST). All examples and lecture notes will use SPSS. All presentations are recorded so each may be watched at the viewer’s convenience. Attendees have indefinite access to the presentations during and after the webinar.
2. Q and A Sessions: Learning these materials is often facilitated by the participant being able to present their questions directly to the facilitator. Therefore, participants will be able to email their questions on the material directly to Dr. Bannon every Thursday (a 24-hour Q and A session) during the program and have him respond to them personally.
3. Written Materials: A written chapter (PDF) detailing the materials will be presented to elaborate upon the content presented in each weekly webinar. The combined chapters will produce a manual containing detailed lecture notes, examples of computer printouts, and several other useful features.
4. One-Hour Personal Consultation: Often, participants prefer to present some questions by phone or in person. Subsequently, Dr. Bannon will schedule a 1-hour personal consultation by phone or in person (regularly $225 at the student rate/$300 at the academic rate) with each participant to discuss any topic of the participant's choosing (e.g., webinar course materials, a project that is being developed or worked upon).
5. Writing Critique: Reporting findings in scientific text and tables is a skill. Many times a critique and feedback to one’s work is of great benefit. Subsequently, as a part of this webinar participants are welcome to submit up to 10 pages of scientific writing (e.g., the methods and results sections of a dissertation or research study) to Dr. Bannon for critique and feedback.
Who Should Attend?
This course is designed to facilitate a foundational understanding of the process of Meta-Analysis. Therefore, students, academics, and professionals approaching Meta-Analysis at the fundamental level or those who would like a refresher course before performing a Meta-Analysis study would find this course useful. Study participants are not expected to have a knowledge of Meta-Analysis prior to this course.
Course Structure
Learning will occur over the webinar duration in the following 6 week format:
Week 1: Introduction to and Concepts of Meta-Analysis
Week 2: Computing Standardized Effect Sizes for a Meta-Analysis Study
Week 3: Developing a Coding Propotcal and Meta-Analysis Formula Computations
Week 4: Performing Basic Meta-Analysis
Week 5: Moderator Analysis in Meta-Analysis and Assessing Publication Bias
Week 6: Drafting a Comprehensive Meta-Analysis Report
Registration
Select a method below to purchase a seat in the next Meta-Analysis 6-week webinar class. Please email Dr. Bannon at: wb2005@caa.columbia.edu if you would like to register by check.
Use the button below to register via Paypal or a Credit/Debit Card.
The class will be held from January 20, 2025 to February 27, 2025. The early registration fee of $250 covers the cost of registration and all course materials. Early registration will close on December 27, 2024 (Midnight, EST). After that date, the full registration fee of $300 will apply.
Contact Dr. Bannon at the email address: wb2005@caa.columbia.edu with any issues regarding registration. After registration, you will receive an email message confirming your registration in the webinar class.