Course

Course Summary
Credit Type:
Course
ACE ID:
STAT-0041
Organization's ID:
462
Organization:
Location:
Online
Length:
4 weeks (60 hours)
Dates Offered:
Credit Recommendation & Competencies
Level Credits (SH) Subject
Lower-Division Baccalaureate 1 statistics
Description

Objective:

The course objective is to discuss the logic of meta-analysis and the way that it is being used in many fields, including medicine, education, social science, ecology, business, and others. We will also look at various controversies in meta-analysis (such as questions of mixing apples and oranges and "garbage-in-garbage-out"), and draw on recent headline-making analyses to understand real-world examples.

Learning Outcomes:

  • learn how to conduct a meta-analysis (how to compute an effect size, compute summary effects, assess heterogeneity of effects, test for differences in effect size across subgroups, and more)
  • describe the role of meta-analysis in research and setting policy
  • compute treatment effects for various types of data
  • assess and deal with heterogeneity among effect sizes
  • distinguish between and fit both fixed and random effects models
  • identify situations involving multiple subgroups and multiple outcomes

General Topics:

  • Computing the overall effect in meta analysis
  • Fixed vs. random effects in meta analysis
  • Differences in treatment effects in meta analysis
  • Publication bias and other issues in meta analysis
Instruction & Assessment

Instructional Strategies:

  • Classroom Exercise
  • Computer Based Training
  • Discussion
  • Practical Exercises

Methods of Assessment:

  • Quizzes

Minimum Passing Score:

70%
Supplemental Materials