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Online Workshops and Tutorials

IN In this section you will find material that helps you to learn software and statistics related to the work you do in your research at CAMH.

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To the extent of possible, we will try to make available here the material of those workshops, or online versions of them.


Introduction to

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SPSS 

SPSS is probably the most popular software for Statistical Analysis at CAMH, and one that is accessible to researchers. The material available here will allow you to have a first and basic experience with SPSS, from opening the software, to importing data, doing some simple data cleaning and data analysis tasks. The material is currently in PDF format but it is in our priority list to have it also in video format. 

  1. Download this PDF file and follow it by actively using SPSS.


Introduction to SPSS Syntax

In order for your data analysis to be reproducible, you need to keep a record of all you did. Ideally, that means everything from reading the initial dataset to your published results. Doing data cleaning and data analysis using script is the perfect way to make your research reproducible.

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Here you will find a collection of videos and auxiliary material to help you get started with R. We will go into basic concepts that will make you familiar and comfortable with the software, which for some will may be sufficient to achieve their goals. We strongly recommend that if you dont have experience with R, you start here. A good wau tp follow these videos is by trying to do it yourself in your computer.

What is R and RStudio?

Video 1 - Watch this short video to get a feeling for what R and RStudio are, even before you install R in your computer.


Installing R and RStudio

Video 2 - Here we show you where to find R and RStudio in the internet, and which version to install in your computer. 


Opening RStudio and creating a project

Video 3- Here we show you what is an RStudio project and how to create one before you do your data analysis.


R Script and R Markdown

Video 4 - Script and Markdown files are a good way to keep a record of the data cleaning and data analysis that you did. Here we go through the steps to create your first script and markdown files. 



Statistics

Common Misuse of Statistics in Research