Introduction to SPSS

An Introduction to the SPSS software program and basic descriptive and inferential statistics
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  • Lectures 14
  • Length 1 hour
  • Skill Level Beginner Level
  • Languages English
  • Includes Lifetime access
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    Available on iOS and Android
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About This Course

Published 6/2015 English

Course Description

In this course, an introduction to the SPSS software program is provided. We'll take a look at how to get started in SPSS, including creating variables and entering data. After that, we'll cover creating value labels and entering some basic data. Modifying data files, including adding and sorting variables is then covered. After this, a number of descriptive statistics are covered, including bar graphs, stem and leaf plots, and measures of central tendency. Finally, the course concludes with hypothesis testing, with coverage of the Pearson r correlation coefficient.

What are the requirements?

  • Having access to the SPSS software program is recommended
  • For those looking to increase their skills only statistics (and not SPSS), check out our Introduction to Statistics course on Udemy

What am I going to get from this course?

  • Perform basic statistical analyses in SPSS, including graphs, calculating measures of central tendency, and correlation
  • Learn how to use the SPSS software program, including creating variables and entering data
  • Increase your skills in Quantitative Methods
  • Increase your marketable job skills in Data Analytics!
  • Increase marketable job skills in SPSS!

Who is the target audience?

  • Anyone interested in learning more about IBM SPSS, one of the most commonly used statistical software programs
  • No previous background in statistics is required
  • Those looking for more intermediate and advanced statistics in SPSS, should look at our ANOVA, MANOVA, and Regression courses on Udemy (along with our inferential course)
  • Students who are looking only for introductory statistics (and not SPSS) should check out our Introduction to Statistics course

What you get with this course?

Not for you? No problem.
30 day money back guarantee.

Forever yours.
Lifetime access.

Learn on the go.
Desktop, iOS and Android.

Get rewarded.
Certificate of completion.


Section 1: Start Here

An introduction to SPSS is covered in this lecture.

The SPSS data files (for the entire course) are available under "downloadable materials" (see below) in this lecture. The file labeled "Data Files Descriptive Statistics in SPSS" contains the set of data files for the course.

Also, a pdf file of the results (the output file) is also available. The output file for this lecture is located below and is titled, "Introduction output"

All other output files are located within their respective lecture.

Data file for this video: While a file is not technically required, as the video shows how to create variables and enter data to produce the file, you can use the following file to skip the data entry: Introduction.sav.


In this lecture, an introduction to the course is provided, including an introduction to Quantitative Specialists.

Section 2: Introduction to SPSS

This lecture covers how to create value labels for different categories of a variable. In SPSS, numbers are required to be entered (in nearly all circumstances) to perform analyses. Value labels help us keep track of which group corresponds to a given number such as 1 = "male" and 2 = "female".

Data file for this video: Value Labels.sav.


In this video, how to insert, move, and delete variables is illustrated. Shortcut keys are also described (including the benefits of using them).

There is no output file for this lecture, as no SPSS output is produced.

Data file for this videoInsert a Variable.sav.


This video illustrates how to use the sort command in SPSS. The sort command is illustrated first on a single variable in SPSS; afterwards, the data set is sorted on two variables simultaneously. How to sort using both ascending (lowest values first) and descending (highest values first) order is shown.

Data file for this videoSort.sav.

Section 2: Introduction to SPSS
5 questions
Section 3: Modifying SPSS Data Editor and Output Options

This video examines how to modify a number of different default options in SPSS, including font type, style, and size, decimal places, value labels, and gridlines in the Data View window.

Data file for this videoEdit Options.sav.


**Newly added 1/2017**

In this video, we take a look at how to turn off the notes from printing in SPSS output, which makes working with your results a lot easier (and saves a lot of space when printing).


**Newly added 1/2017**

In this video, we take a look at how to turn off the syntax from printing in SPSS output, which can make reading the results easier and save space (when printing).


**Newly added 1/2017** 

In this video we take a look at how to add a header and footer in SPSS output (for printing). Also covered is how to remove the existing footer that comes out by default in SPSS output.

Section 4: Statistical Analysis in SPSS: Charts, Graphs, Descriptive and Inferential Stats

How to create a bar chart in SPSS is covered in this lecture. Bar charts are typically created on categorical variables, such as gender, ethnicity, and so on. The bars of a bar chart are not touching (there are gaps in-between them) since the data are not continuous (they are categorical or discrete).

Data file for this videoBar Chart.sav.


How to create a stem and leaf plot is covered in this lecture. Stem and leaf plots are interesting alternatives to histograms, as they convey the same information as a histogram, while having the advantage of also presenting the actual values in the graph.

Interesting note: Unlike the bar chart and histogram, notice that the graphics for the stem and leaf plot are a bit antiquated and could use some updating!

Data file for this videoStem and Leaf Plot.sav.


In this lecture, how to calculate the mean, median, and mode is illustrated using the frequencies procedure in SPSS.

Data file for this videoMeasures of Central Tendency.sav.


In this video, we take a look at Pearson's r correlation coefficient. We examine it first as a descriptive statistic, then we take a look at it an inferential statistic (as a preview to our next course). The basic difference between these two approaches is the following: as a descriptive statistic, correlation describes the relationship between two variables, while as an inferential statistic, we test to see whether the correlation is significantly different from zero (in addition to describing the relationship).

Data file for this videoCorrelation.sav.

Section 3 - Statistical Analysis in SPSS
4 questions
Section 5: Course Conclusion

In this video, a conclusion to the course is provided.

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Instructor Biography

Quantitative Specialists, Specializing in Statistics, Research Design, and Measurement

Quantitative Specialists (QS) was founded by an award-winning university instructor who has taught statistics courses for over 15 years. At QS, we are passionate about all things statistical, especially in helping others understand this often-feared subject matter. Our focus is in helping you to succeed in all your statistics work!

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