COVID-19 UPDATE: The safety of our students and staff is our top priority. Therefore, Stats Camp will be holding seminars online via live interactive zoom discussion groups. Our goal is to expand on the interactivity side and provide one-on-one consulting time via virtual breakout rooms. We are offering a discount code to a future camp worth $200 off and we are offering 1-hour of post camp consultation as an added value. Registrations will be accepted up to 12 hours prior to seminar start date and time. All seminars will be conducted in CDT time and will be recorded. The recordings will be made available to you within 3-5 business days of the live recording date. Access will be granted to the recorded videos for 1 year from the date of the seminar. Have questions? Contact us

Meta-Analysis Seminar

Session 2: June 8 – 12, 2020
Albuquerque, NM – Embassy Suites


FAQVenue Info – Hotel Booking
$1,895 Faculty/Professional or $1,145 Student/Post-Doc

Payment Options

Seminar fee includes all materials, downloads, software access, training, refreshments and access to a recorded video of seminar:

Enrollment is open to public, students, graduates and professionals. Save a seat today, pay later.

Statistics Seminar Objectives

The five-day training institute on Meta-Analysis (15) will enable participants to:

  • Understand and critically evaluate published meta-analyses.
  • Develop the skills necessary to conduct and write publishable meta analytic reviews.
  • Identify the foundations upon which more advanced meta-analytic techniques are based.

Seminar Syllabus

Summer Stats Camp 2020: Meta-Analysis
MondayJune 8, 2020
9:00 – 9:30Welcome and course overview (Lecture 00)
9:30 – 10:45Introduction to meta-analysis (Lecture 01)
10:45 – 11:00Snack and refreshment break
11:00 -12:30Questions that can be answered through meta-analysis (Lecture 02)
12:30 – 1:30Lunch Break
1:30 – 3:15Searching the literature (Lecture 03)
3:15 – 3:30Snack and refreshment break
3:30 – 5:00Coding study characteristics (Lecture 04)
5:30~7:30Social “hour” for all Stats Campers
TuesdayJune 9, 2020
9:00 – 10:45Basic-effect size computation (Lecture 05)
10:45 – 11:00Snack and refreshment break
11:00 -12:30 Lecture 5 continued; Correcting effect sizes for artifacts (Lecture 06)
12:30 – 1:30Lunch Break
1:30 – 3:15Coding alternative effect sizes (Lecture 07)
3:15 – 3:30Snack and refreshment break
3:30 – 5:00Individual / small group consulting and Q&A
WednesdayJune 10, 2020
9:00 – 10:45Computing mean effect sizes and heterogeneity (Lecture 08)
10:45 – 11:00Snack and refreshment break
11:00 -12:30Random effects models (Lecture 09)
12:30 – 1:30Lunch Break
1:30 – 3:15Moderator analysis (Lecture 10)
3:15 – 3:30Snack and refreshment break
3:30 – 5:00Individual / small group consulting and Q&A
ThursdayJune 11, 2020
9:00 – 10:45Moderator Analysis (continued); Mixed-effects models (Lecture 11)
10:45 – 11:00Snack and refreshment break
11:00 -12:30Applications of moderator analysis (Lecture 12)
12:30 – 1:30Lunch Break
1:30 – 3:15Publication bias (Lecture 13)
3:15 – 3:30Snack and refreshment break
3:30 – 5:00Individual / small group consulting and Q&A
FridayJune 12, 2020
9:00 – 10:45Integrative data analysis (Lecture 14); Replication (Lecture 15)
10:45 – 11:00Snack and refreshment break
11:00 -12:30Replication (continued); Reporting meta-analyses (Lecture 16)
12:30 – 1:30Lunch Break
1:30 – 4:30Individual / small group consulting and Q&A

Why Should You Attend?

  • Get 1 on 1 Consultation With Instructor
  • Professional Networking
  • Peer Socializing
  • Collaboration
  • All Seminar Resources
  • Breakfast (Embassy guests), Lunches, & Snacks Daily

Statistical Methods Seminar Description

Overview: This seminar teaches the skills necessary to conduct and write publishable meta-analytic reviews, including methods of searching the empirical literature, coding effect sizes, and analyzing effect sizes across multiple studies.

Instructor: Noel Card, Ph.D.

Noel is an associate professor Educational Psychology at the University of Connecticut. He holds a Ph.D. in clinical psychology from St. John’s University, and completed a postdoctoral fellowship in quantitative and developmental psychology at the University of Kansas. Noel has received many accolades for his skills at teaching and consulting on SEM issues and concepts, and has worked extensively in applying SEM to longitudinal and dyadic data. Noel Card’s research interests are in developmental science and quantitative methods, and especially at the interface of these disciplines. His developmental interests are broadly within the domain of child and adolescent social development, with specific interest in aggression and peer victimization. His quantitative interests are primarily in meta-analysis, with additional interests in structural equation modeling, analysis of longitudinal data, and analysis of interdependent data.

Software and Computer Support

Dr. Card does not use any specialized software for this meta-analysis seminar.

Seminar Audience

If you are interested in systematically reviewing existing empirical literature and have a basic statistical background, this seminar is for you. You should have a good working knowledge of the principles and practice of elementary statistics (e.g., t-tests, ANOVA, correlation/regression). No further quantitative training is assumed, although participants with more extensive backgrounds will also benefit from this seminar.

Participants from a variety of fields, including psychology, education, human development, sociology, marketing, business, biology, medicine, political science, and communication, will benefit from the seminar.

Seminar Files

Below are links to seminar files for those who enrolled in the seminar. Please download these files onto your computer before the first day of the seminar. The files are password protected to respect the intellectual property rights of the instructors. By using your login information you agree not to share your login information or the content protected by it.

Instructor will provide password on first day of seminar:
Click Here to Access Meta- Analysis Seminar Files

Meta Analysis Course on Statistics