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Schedule

Due to the Covid situation we have no workshop scheduled at the moment. Please, check again as the situation improves.

Objectives


  1. To improve the quality of statistical analysis at CAMH by making available knowledge about statistics, models, data and software. 
  2. To make sure that researchers are familiar with the concepts of statistics used in daily research, and know how to use them.
  3. To provide a lively and direct channel of communication between researchers and our group, so that we can provide timely assistance when necessary.

Workshops and Educational Material

We plan to have this website as a work in progress where we make available to the CAMH community educational resources relative to software and Statistics in general.

SPSS

Since 2016 we have had frequent series of SPSS workshops. These workshops are delivered in person, in the CAMH computer lab. They expanded from the initial introductory courses to the current series that inovlves more than 10 different topics of interest to CAMH researchers. 

They have been in person, hands on workshops, where you are encoraged to work in real time with the software. We plan to keep delivering these workshops and beyond that, make available here additional resources. 


  • Introduction to SPSS - This is a introductory text in PDF format that should help you get familiar with SPSS. It starts from a very introductory view that includes data entering and move towards covering the most important data manipulation and data inspection functions in SPSS. 

  • Introduction to SPSS Syntax

  • Linear Models

  • Generaized Linear Models

  • Mixed Modles

  • Generalized Estimating Equations

  • Factor Analysis and Reliability

R

  1. R & SPSS - overview

  2. R for SPSS Users

  3. Introduction to R Part I

  4. Introduction to R Part II

  5. Introduction to R Part III

  6. Introduction to R Part IV

  7. R Package dplyr

  8. R Package ggplot2

Statistics

  1. Common Misuse of Statistics in Research

  2. Statistical Models

  3. Statistical Evidence



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