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This is a "starting point" guide for those taking a statistics and [quantitative] data analysis courses and/or doing a data analysis project.
SPSS statistical software is now owned by IBM. It has many different modules, and not all installations have all modules. SPSS is mostly point-and-click, which makes the learning curve low. It does have syntax, which is important to be aware of and keep for reproducibility of analysis. The syntax is laborious, however, and those who can program are likely to prefer using Stata or R.
Consider also these Free, Open-Source alternatives:
Ordered Video Tutorials, Interface plus basic statistics and possibly more
For more on writing up results not specific to SPSS, see the Writing tab in the Quantative InfoGuide.
These are huge collections of well-done videos (100+). They are not well organized. Thus, the links below go to the in-channel search with "SPSS". Add your own keywords to find what you are looking for.
How to Use SPSS Syntax
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Rather than focusing on SPSS menus and the graphic user interface, How to Use SPSS Syntax focuses on the syntax rules in SPSS, a more encompassing approach that allows readers to replicate statistical analyses by storing them in a file for future use. Practical, accessible, and highly focused, the book is brief, while still helping readers develop an in-depth understanding of the common syntax rules and commands. In every chapter, the authors clearly explain the syntax, show the main results, and include social science research examples and downloadable files that allow readers to follow along. Checks throughout the book help readers determine whether the syntax is used correctly.
Essential First Steps to Data Analysis
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Carol S. Parke′s Essential First Steps to Data Analysis: Scenario-Based Examples Using SPSS provides instruction and guidance on preparing quantitative data sets prior to answering a study′s research questions. Such preparation may involve data management and manipulation tasks, data organization, structural changes to the data files, or conducting preliminary analysis. Twelve research-based scenarios are used to present the content. Each scenario tells the "story" of a researcher who thoroughly examined their data and the decisions they made along the way. The scenario begins with a description of the researcher′s study and his/her data file(s), then describes the issues the researcher must address, explains why they are important, shows how SPSS was used to address the issues and prepare data, and shares the researcher′s reflections and any additional decision-making. Finally, each scenario ends with the researcher′s written summary of the procedures and outcomes from the initial data preparation or analysis.
Describes real projects and the steps the researcher took to prepare the data, including alternatives and the reasoning behind the choices. Gives SPSS-specific tips and output.