Introduction to SPSS

An Introduction to the SPSS software program and basic descriptive and inferential statistics.

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 would be very helpful

What am I going to get from this course?

• Over 11 lectures and 1 hour of content!
• 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!

What is the target audience?

• Anyone interested in learning more about SPSS and basic statistics
• Those who don't want to learn SPSS would not benefit from the first half of the course

Curriculum
Section 1: Start Here
Lecture 1 Introduction to the Course and to Quantitative Specialists 02:48
In this lecture, an introduction to the course is provided, including an introduction to Quantitative Specialists.

Section 2: Introduction to SPSS
Lecture 2 Introduction to SPSS 10:48
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.

Lecture 3 Creating Value Labels for Groups 04:47
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".

Lecture 4 Inserting, Moving, and Deleting Variables in SPSS 07:20
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.

Lecture 5 How to Sort One or More Variables in SPSS 05:16
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.
Lecture 6 Modifying Default Options in SPSS 05:39
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.

Quiz 1 Section 2: Introduction to SPSS 5 questions
Section 3: Statistical Analysis in SPSS: Charts, Graphs, Descriptive and Inferential Stats
Lecture 7 Creating a Bar Chart 04:07
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).

Lecture 8 Creating a Stem and Leaf Plot 03:53
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!

Lecture 9 Measures of Central Tendency: Mean, Median, and Mode 02:41
In this lecture, how to calculate the mean, median, and mode is illustrated using the frequencies procedure in SPSS.

Lecture 10 Correlation 14:23
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).

Quiz 2 Section 3 - Statistical Analysis in SPSS 4 questions
Section 4: Course Conclusion
Lecture 11 Course Conclusion and Preview to our Other Courses 00:52
In this video, a conclusion to the course is provided.







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