Mediation and Moderation

Applied Latent Class Analysis Seminar

This course is an introductory 3-day course that focuses on the basics of doing statistical mediation and moderation, with additional consideration of new developments in the field.

This course will cover focus on the basics of doing statistical mediation and moderation, and it will also include coverage of variants of both techniques (e.g., longitudinal mediation) as well as new developments in the field (e.g., bootstrapping, conditional process analysis). Clear explanations of the statistical bases of these analyses will be tied with demonstrations of how to create and run models on several platforms (e.g., ordinary regression, SEM, and multi-level modelling). It is important that students have a good working knowledge of multiple regression. The instructor will demonstrate examples in two different structural equation modelling (SEM) programs (i.e., Amos and Mplus), as well as in multi-level modelling (i.e., HLM), but it is not essential that the student be familiar with these programs. Participants from a wide variety of fields will benefit from the course.

Participants will receive an electronic copy of all course materials, including lecture slides, practice datasets, software scripts, relevant supporting documentation, and recommended readings. Participants will also have access to a video recording of the course.

World Camp: April 26 – 28, 2018
Brisbane, Australia – Marriott

FAQ –  Hotel Reservations

Travel Visa Required: Follow link below to attain a visa for the purposes of “participating in a conference, trade fair, or seminar”. Visa application requires 24hr processing time, please apply early. You will need to apply here estimated cost is 20AUD.

Address: 515 Queen Street, Brisbane QLD 4000
Last day to book: 10 April 2018 or until block is filled
Cancellation: 100% cancellation fee will apply if cancelled 14 days prior.
Phone: 07 – 3303 – 8000
Group Rate Start date: 24 April 2018
Group Rate End date:  30 April 2018

Rooms Options Available:

Deluxe City View Room for AU$229  per room per night + additional taxes and fees, Room including Wifi and Breakfast for 1 Guest.

Deluxe City View Room for AU$249  per room per night + additional taxes and fees, Room including Wifi and Breakfast for 2 Guests.

Hotel Reservations: Follow link above or call the Reservations
Team at 07 – 3303 – 8000 and quote YHA group code.

Payment Options

$1,095 Faculty/Professional or $945 Student/Post-Doc

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Topics include:

  • Basic model of statistical mediation
  • Tests of significance for mediation
  • Mediation in experimental designs
  • Basic model of statistical moderation
  • How to graph moderation results for publication
  • Hybrid models (conditional process analysis)

Learning Objectives

After engaging in this 3-day statistics training institute course lectures and discussions as well as completing the hands-on practice activities with real data, participants will be able to:

  • Determine when to perform mediation vs. moderation with a dataset
  • Sensitively perform mediation analyses and accurately report findings
  • Understand limitations of particular mediation designs
  • Sensitively perform moderation analyses and accurately report findings
  • Interpret and present the results of a moderation analysis
  • Conduct conditional process analysis

Emphasis will be placed on teaching how to conduct mediation and moderation analyses, and reporting the results succinctly and accurately for theses, manuscripts, and other reports.


ThursdayApr 26, 2018
9:00-9:30Welcome and introductions
9:30-10:45Orientation to mediation and moderation: How & Who
10:45-11:00Snack and refreshment break
11:00-12:30How to do basic mediation; Significance tests for mediation
12:30-1:30Lunch break
1:30-2:30Mediation in experimental designs
2:30-3:00Logistic mediation; latent variable mediation
3:00-3:15Snack and refreshment break
3:15-5:00Longitudinal mediation
FridayApr 27, 2018
9:00-9:30Recap and Qs & As
9:30-10:45How to do basic moderation
10:45-11:00Snack and refreshment break
11:00-12:30Depiction of moderation results; Simple slope analyses
12:30-1:30Lunch break
1:30-3:00Multiple moderation; Latent variable moderation
3:00-3:15Snack and refreshment break
3:15-5:00Curvilinear relationships (e.g., quadratic moderation, non-linear mediation)
SaturdayApr 28, 2018
9:00-9:30Recap and Qs & As
9:30-10:45Mediation and moderation in multilevel modeling
10:45-11:00Snack and refreshment break
11:00-12:30Moderated mediation and mediated moderation
12:30-1:30Lunch break
1:30-3:00Conditional process analysis
3:00-3:15Snack and refreshment break
3:15-5:00Questions and consultations on your datasets

Instructor: Paul Jose, Ph.D.

Dr. Paul Jose received his PhD in developmental psychology from Yale University in 1980. Since then he has taught and performed research on the topic of developmental psychopathology, and more recently, positive psychology. In addition, he has taught research methods and statistics at both the undergraduate and graduate levels for more than 35 years, and he has offered numerous workshops on a range of topics in methodology and statistics. Guilford Press published his book, Doing statistical mediation and moderation, in 2013, and he has published a new paper in the journal Educational Psychologist (2016) entitled “The merits of using longitudinal mediation”. An American by birth and training, he now lives, teaches, and works in New Zealand. Consequently he has learned to appreciate the game of rugby.

Software and Computer Support

Participants need to bring a laptop computer with Wi-Fi capabilities.

All statistical software used at Stats Camp will be available, free to participants, on our SMORS (statistical modeling on remote servers) system for the duration of camp.

We will perform our analyses in SPSS, Amos, Mplus, and HLM.

Course Prerequisites


  • Basic knowledge and proficiency in multiple linear regression
  • Basic knowledge about types of data (i.e., categorical, ordinal, and continuous)
  • Basic proficiency with the SPSS statistical software package

Not required but advantageous:

  • Some experience with multivariate data analysis
  • Some experience with structural equation modeling (SEM) in either Amos or Mplus
  • Some experience with longitudinal data analysis

No level of proficiency beyond basic awareness is assumed for these skills:

  • Conditional process analysis
  • Latent variable path modeling
  • Multilevel modeling

Course Files

Below are links to course files for those who enrolled in the course. Please download these files onto your computer on 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.

Course files and downloads will be posted on the first day of class.

Why Should You Attend?

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