
You can set missing values for string variables in SPSS but this doesn't work as it should. This tutorial walks you through some problems and fixes.
Overview of all SPSS commands in a single Googlesheet. Includes
Many easy options have been proposed for combining the values of categorical variables in SPSS. However, the real information is usually in the value labels instead of the values. This tutorial proposes a simple trick for combining categorical variables and automatically applying correct value labels to the result.
On 19 June 2020, SPSS version 27 was released. Although it has some useful new features, most of these have been poorly implemented.
This review quickly walks you through the main improvements and their limitations.
In SPSS, "SUM(v1,v2)" is not always equivalent to "v1 + v2".
This tutorial explains the difference and shows how to make the right choice here.
SPSS statistical functions are mostly straightforward. This tutorial walks you through the main ones and points out some tips, tricks and pitfalls.
Some SPSS commands such as COMPUTE, RECODE and SELECT-IF are only executed when needed.
EXECUTE simply makes SPSS complete such commands straight away.
Get things done faster in SPSS by understanding its three basic command types: transformations, procedures and other SPSS commands.
The SPSS RECODE command usually replaces values with different values. It comes in handy for merging categories, dichotomizing continuous variables and some other tasks. This tutorial walks you through its main options, best practices and pitfalls.
This tutorial explains and demonstrates SPSS' main numeric functions. Some tips and tricks will be included along the way.
Using SPSS keywords, especially TO and ALL greatly speeds up a myriad of typical tasks. This tutorial walks you through SPSS main keywords and points out how they can save time and effort.
Get better results faster by learning a handful of SPSS system settings. This tutorial demonstrates the 5 most useful ones along with examples.
SPSS Z-Test and Confidence Intervals for 2 Independent Proportions Tool. Freely downloadable and easy to use from the menu.
SPSS dataset logic is not always logical. However, for working proficiently with datasets, just a handful of basics is sufficient. These are explained in this tutorial.
THIS TUTORIAL HAS 3 COMMENTS:
By Dobromir Stoyanov on March 15th, 2019
Hello, I think that your website is quite useful for researchers. I have one question however, that I could not find answer to on your website, so I will be glad to hear your opinion on it. I want to run logliner analysis on SPSS Statistics 25 but I have more than 10 variables.= 1 outcome variable and 11 predictors/factors. The big number of factor variables can be explained by the fact that a big part of them are dummy variables from a multiple response question. Is there an alternative way to run the analysis. Thank you.
By Ruben Geert van den Berg on March 15th, 2019
Loglinear analysis on so many variables is insane. And you'll need a huge sample size to satisfy its assumptions. Besides, there's no "outcome variable" or "predictors" in loglinear analysis. There's just variables as with correlations.
This sounds as if some kind of regression analysis is what you're looking for.
By iftikhar hussain on May 9th, 2019
Hi,
Many thanks for such a clear writing. I suggest you should add printable version facility as well. It will help many like me. Good job