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Meta-Analysis Course 2017-07-13T14:04:48+00:00

Meta-Analysis Course

Session 2: June 11 – 15, 2018
Albuquerque, NM – Embassy Suites


FAQVenue Info
$1,795 Faculty/Professional or $1,095 Student/Post-Doc

Payment Options
Per Course Qty
Professionalshow details + $1,795 (USD)  
Studentshow details + $1,095 (USD)  

Statistics Course 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.

Course Syllabus

Summer Stats Camp 2018: Meta-Analysis
Monday June 11, 2018
9:00 – 10:45 Welcome & course overview; Introduction to meta-analysis
10:45 – 11:00 Snack and refreshment break
11:00 -12:30 Questions that can be answered through meta-analysis
12:30 – 1:30 Lunch Break
1:30 – 3:15 Searching the literature
3:15 – 3:30 Snack and refreshment break
3:30 – 5:00 Coding study characteristics
Tuesday June 12, 2018
9:00 – 10:45 Basic-effect size computation I:Introduction to effect sizes; computing r
10:45 – 11:00 Snack and refreshment break
11:00 -12:30 Basic effect size computation II: Computing d or o; standard errors
12:30 – 1:30 Lunch Break
1:30 – 3:15 Correcting effect sizes for artifacts
3:15 – 3:30 Snack and refreshment break
3:30 – 5:00 Wrap-up presentation material then individual consultations
Wednesday June 13, 2018
9:00 – 10:45 Coding alternative effect sizes
10:45 – 11:00 Snack and refreshment break
11:00 -12:30 Computing mean effect sizes and heterogeneity
12:30 – 1:30 Lunch Break
1:30 – 3:15 Random effects models
3:15 – 3:30 Snack and refreshment break
3:30 – 5:00 Wrap-up presentation material then individual consultations
Thursday June 14, 2018
9:00 – 10:45 Moderator analyses I: Categorical moderator analysis
10:45 – 11:00 Snack and refreshment break
11:00 -12:30 Computing mean effect sizes and heterogeneity
12:30 – 1:30 Lunch Break
1:30 – 3:15 Random effects models
3:15 – 3:30 Snack and refreshment break
3:30 – 5:00 Wrap-up presentation material then individual consultations
Friday June 15, 2018
9:00 – 10:45 Publication bias
10:45 – 11:00 Snack and refreshment break
11:00 -12:30 Reporting meta-analyses
12:30 – 1:30 Lunch Break
1:30 – 4:30 Individual Consultations

Why Should You Attend?

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

Statistical Methods Course Description

Overview: This course 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

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 course.

Course Audience

If you are interested in systematically reviewing existing empirical literature and have a basic statistical background, this course 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 course.

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

Course Files

Below are links to course files for those who enrolled in the course. Please download these files onto your computer before the first day of the course. 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.

After May 1st: Click Here to Access Meta- Analysis Course Files

Meta-Analysis Seminar Noel Card