100% Discount || Jamovi: A Powerful R-based Statistical Analyses Tool

Requirements
Some familiarity with stats and spreadsheets
Description
Complete Beginner Course

If you’re looking for a tool that can help you get started on your research and analyses and have decided to go with Jamovi, then this is the right course for you. This course will give you an introductory overview of how to use Jamovi and what it’s main features are. Anyone can take this course. You don’t have to be a stats expert or some kind of special researcher. It’s mainly about how to use the tool, Jamovi.

Get Started with R Programming

If you’re learning the R programming language, this is a handy tool to have under your belt. Its syntax mode can act like a little cheat code generator for you to use in R and instantaneously be able to do everything that you can do in Jamovi in RStudio.

In This Course

You’ll get some information about Jamovi’s user interface and how you can get it to do stuff. It’s a pretty straight forward interface, there’s actually not much explanation needed. You’ll be amazed and surprised at just how easy to use and intutitive Jamovi is. It’s beatifully designed and great to use.

You’ll find out just how easy it to bring your data into Jamovi, set your variables to ordinal, nominal, continuous, add some new computed and transformed variables, and use filters to focus on specific areas of your dataset.

Then we’ll take a detour and install R and RStudio and have a look at how you can bring in datasets open in Jamovi into RStudio just by typing two words, and how you can then easily copy/paste the R code from Jamovi. You just copy and paste it!

Another great feature in Jamovi is that you can install Modules wich are like add-ons or R packages. These allow you to do more cool stuff with Jamovi. We’ll have a look at how to install them and I’ll give you some tips on how to use two of them scatr and my favourite, Flexplot!

Analyses Demonstrations:

We’re going to have a look at each of the analyses in Jamovi, with an example. The focus of this part of the course is just to give you a rudementary look at each of the analyses, and kinda get a feel of what you can do with Jamovi’s suite of analyses.

It includes all the basic good stuff:

T-Test: Independent, Paired, and One-Sample

ANOVAS (one-way, factoral, repeated measures), ANCOVA (and MANCOVA), Non-parametric one way and repeated meausers ANOVA

Correlation & Regression, Logistic Regression (Binomial, Multinomial, Ordinal)

Friequencies: One Sample Proportion Tests(Binomial and Chi Goodness of Fit), Contingency Tables (Chi test of association and McNemar), Log-Linear Regression)

Factor Analyses (Reliability, Principle Component, Exploratory, and Confirmatory Anlyses)

Who this course is for:
1st Year Stats Students
Researcher & Analysts
People looking for a Graphical User Interface alternative for R
People looking for a free alternative to SPSS and other expensive statistics software
People who are put off by all the coding involved in using R can start with this and then gradually learn to code