Right-click the links in the left column to download.
Intro to SPSS using the GUI
This tutorial works across several datasets in order to provide a comprehensive rundown of basic data management functions in SPSS. This lesson works with the Graphical User Interface (GUI), taking
advantage of SPSS's "point-and-click" functionality to complete data transformations and basic analysis. Like several other popular analysis packages, such as Stata, SPSS can be used with both the GUI
and syntax.
If you prefer a video-based guide, you can use the YouTube series posted below. Be sure to download the practice file archive before you get started!
Step 1: Download the tutorial and question sheet (optional)
10.9.2018 Version - some adjustments to highlighting system dialog text. Minor edits. Migrating data analysis section to
Features detailed step-by-step instructions for many tasks in SPSS
The instructions weave between both the census dataset and the test scores dataset
Instructions for usage can be found in the document
Students can also follow along with a downloaded or print version. It should be sufficient for stand-alone work, but don't get too hung up on reading every word while class is in session
This is a sample developed by IBM for practice in SPSS
It examines standardized test scores based on school setting, type, and a few other attributes
What's in the archive?
test_scores.sav
This is a sample developed by IBM for practice in SPSS
It examines standardized test scores based on school setting, type, and a few other attributes
2016plchart.pdf
This table shows federal poverty standards
These are standards used to determine which households qualify for income-based health care coverage programs and subsidies
Data source: US Department of Health and Human Services
DP03CensusData.sav
This file is still in the works, but is idealized for SPSS and can be used for demonstrations
It is a reduced version of the original US Census DP03 file
Data Source: US Census DP03: Selected Economic Characteristics
DP03CensusData.csv
This file is ready to be imported to SPSS or any other platform
It is a reduced version of the original US Census DP03 file
Data Source: US Census DP03: Selected Economic Characteristics
DP03Metadata.xlsx
Metadata that details the coding system in the US Census DP03 file
This file is ideally viewed in Microsoft Excel
It features alternating colors for ease of reading
Median and Mean Household Income have been specially highlighted for the purpose of the tutorial
Data Source: US Census DP03: Selected Economic Characteristics
Analyses of Means in SPSS using the GUI
There are a variety of methods for different scenarios that can help you measure variability within and between datasets. This tutorial will walk through the following:
ANOVA
One-Sample T-Test
Independent-Samples T-Test
Paired-Samples T-Test
This is not intended to be a substitute for a genuine statistics course. We will review some basic concepts. I've tried to design this tutorial with just enough fundamentals, but not too much hand-written math. To gain a deeper understanding of how these measures are structured and what they mean, I strongly recommend either taking a statistics class or receiving counseling from our friends at Center for Statistics and the Social Sciences (CSSS). This tutorial will see many updates in the future. I'll put up a notice as that happens.
It's quite a lot. There is some intensive discussion about statistical theory. If you'd like to avoid that, simply follow the instructions in purple text to complete the steps. Hope it's all helpful!
Note to instructors: for now, print this sheet. The question numbers do not yet align precisely with the detailed walkthrough
SPSS Syntax allows for a more flexible use of the program. The learning curve is a little bit steeper, but as far as coding in statistical prackages go, this is a great
place to start. The structure is quite simple once you get the hang of it. From there, it's all about repitition. The data come from a 1994 study in rural Virginia. This is a subset of the sample from a much broader pool. These specific cases were isolated on the basis of having
undergone a Type II Diabetes sreening. This lesson will focus on data transoformations that will help set up for a future lesson on analysis. It als features a brief section
on chart and graph building, and a sample of a linear regression model.
