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Course Info
- Duration:4h 57m 12s
- Skill Level:Beginner
- Released:November 17, 2014
- Viewers:65,333
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Course details
SPSS is a statistics and data analysis program for businesses, governments, research institutes, and academic organizations. In these tutorials, author Barton Poulson takes a practical, visual, and non-mathematical approach to SPSS. From importing spreadsheets to creating regression models, to exporting charts, this course covers all the basics, with an emphasis on clarity, interpretation, communicability, and application. Barton will help you:- Build charts, scatterplots, and box plots
- Calculate descriptive statistics such as means and standard deviations
- Use inferential statistics such as t-tests and chi-squares
- Enter and read data
- Create new variables and crosstabulations
- Model associations with correlations, contingency tables, and multiple-regression analysis
- Format and export presentations to share your data
Plus, learn how to extend the power of SPSS with Python and R. This course is ideal for first-time researchers and those who want to make the most of data in their professional and academic work.Related courses
Welcome
- Hi, I'm Bart Poulson, and I'd like to welcome you to SPSS Statistics Essential Training. SPSS is a statistics and data analysis program from IBM. It's very popular, it's very powerful, and it's a great way to work with your data for new insights. In this course, I'll teach you to use charts, such as histograms, bar charts, scatter plots and box plots, to get the big picture of your data. Descriptive statistics, such as mean, standard deviations, and correlations for a more precise depiction of your data and inferential statistics, like t-tests, the analysis of variance, and chi-squared to help you determine the reliability of your results and how they can generalize to a broader population. I'll also show you how to enter and read data in SPSS, create data labels, check and clean data, and create new variables and compute transformations. Finally, I'll demonstrate how you can format your charts and tables for presentation, save your stubs and syntax files to recreate and share your…Practice while you learn with exercise files
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Course Contents
Click here to find your version of R Essentials for SPSS Statistics
Click here to find your version of R Essentials for SPSS Modeler
Now I will walk through the installation of R Essentials for SPSS Modeler 18 and SPSS Statistics 24.
Install Guide for SPSS Modeler v18:
Previously, I wrote this blog post, which gives details on installing R Essentials in SPSS Modeler. I've included steps below for installing R Essentials for version 18 of Modeler with a couple extra tips.
- Install the correct version of R. For Modeler version 18 you will need to have R version 3.2.x installed on your machine. I downloaded this version here.
- Download and run R essentials from the Modeler R Essentials GitHub repository.
- When installing R Essentials, there are two file paths you will need to validate:
- First, you need to indicate your R installation folder. My installer defaulted to R-3.2.1 but I have R-3.2.2 installed, so I needed to change it. If you try using an older version of R you will get an error message (I tried).
- Next, you need to pick the right bin folder for your installation. This will be different based on where you installed Modeler. The installer defaults to the 'ModelerServer' directory, but if you are not using Modeler Server this needs to be changed to the 'Modeler' directory. The screen shot below shows the path that I used that was successful.
- If everything was successful you should see this screen:
- Now we have R installed and R Essentials installed. To do a quick test, let's open up Modeler 18
- Add a User input node to the canvas and type something like 'a' into the Field and a number '1' in Values. This is dummy data just so we can run quick R code, if you already have a Source node on your canvas you can use that
- From the Record Ops palette, add a R Transform node and type the following:
print('hello modeler!')
Not too exciting, but enough for now. - Now right click on this node and select preview. This will show a table of your input data, but what we care about is the Console Output in the R Transform node. It should look like this:
Essential Learning
Install Guide for SPSS Statistics v24:
- Install the correct version of R. For Statistics version 24 you will need to have R version 3.2.x installed on your machine. I downloaded this version here.
- Download and run R essentials from the Statistics R Essentials GitHub repository.
- When installing R Essentials, there are two file paths you will need to validate:
- First, you need to indicate your R 3.2.x installation folder. This will look slightly different than the Modeler screenshot above but is the same step.
- Next, you need to pick the installation folder for your Statistics version 24. I used the default install path so I did not have to change anything here. If you changed your install directory you will need to update this.
- Next, you just need to confirm both directories you selected were correct and click Install.
- Now we have R installed and R Essentials installed. To do a quick test, let's open up Statistics 24
- Open SPSS Statistics and create a new Syntax Editor by clicking File > New > Syntax
- Let's type in some basic syntax for starting an R program and printing a statement
BEGIN PROGRAM R print('Hello Statistics') END PROGRAM
- Now highlight this code block or click the 'BEGIN PROGRAM' on the left pane of the Syntax editor and click the green 'Run Selection' button at the top of the screen. This will create a new Output window displaying your code and the R output: