10 Mediation analysis (53796)

Presented by:

Milika Miocevic & Carl Falk

Sponsored by:

Continuing Education Credits:

6 CE Credits/This continuing education activity in psychotherapy is recognized by the Ordre des psychologues du Québec OPQ recognition number: RE03288-20

Language:

English

Cost:

CPA Member: Early Registration ($250+tax) - Regular Registration ($300+tax)

CPA Student Affiliate: Early Registration ($190+tax) - Regular Registration ($225+tax)

Non-Member: Early Registration ($325+tax) - Regular Registration ($400+tax)

Student Non Affiliate: Early Registration ($230+tax) - Regular Registration ($250+tax)

Please note: Early Registration (until end-of-day April 30th, 2019) and Regular Registration (after April 30th, 2019)

Duration:

Full-Day (9:00-16:30)

Target Audience:

Researchers and graduate students in psychology

Skill/Difficulty Level:

Intermediate

Workshop Description:

Statistical mediation analysis is used in thousands of studies in psychology every year, and the seminal paper by Baron and Kenny (1986) is among the 33 most cited scientific articles across fields. Methods for mediation analysis have been an active area of research. This workshop will cover theoretical underpinnings of mediation analysis, optimal methods for testing for mediation in single and multiple mediator models, implementations of methods for mediation analysis in R, and templates for reporting results from mediation analyses for single- and multiple-mediator models.

After the workshop, participants will be able to identify the optimal method for testing their mediation hypotheses, select an effect size measure for the mediated effect(s) that suits their research question, and describe their findings in a format that is appropriate for journal articles in psychology.

Furthermore, participants will learn the basics of R and how to conduct mediation analysis in R.

Learning Outcomes:

1. understanding the difference between mediators, confounders, and moderators
2. knowing how to test for mediation in a single mediator model
3. learning how to test for mediation in multiple mediator models
4. understanding effect size measures for the mediated effect in single and multiple mediator models ability to estimate mediation models in R
5. optimal reporting of results from mediation analysis for a journal article

  Pre-Convention Workshop Registration - Cancellation Refund Policy

  50% Refund by end-of-day March 15th
  25% Refund by end-of-day April 23rd
  No REFUNDS after April 23rd