In this tutorial, you will be having step by step guide to help you understand the SPSS Data Analysis.
What is SPSS Data Analysis?
SPSS Data Analysis is software that is used to analyze complex statistical data. It can also be used to manage and segregate data sets that are highly unorganized in nature. It is greatly used by the market researchers, health researchers, surveyors, government entities, educational researchers, and data analysts, data miners, marketing organizers and data processors, and so on.
Stepwise understanding of SPSS Data Analysis
1. Set up the project folder and Open Data
An unorganized project is nothing better than a waste of time. If the project or a data set is not organized, then it can drain all your time and potential. SPSS provides you with a better option to avoid such inconveniences, but make sure you keep the files and data systematically arranged. The smart way of dealing with SPSS is by following a regular backup copy of the entire project. Create folders that can contain data like original and edited, syntax and output files. Never edit the original data; make sure you edit the copies and keep it safe to avoid unnecessary confusions.
2. SPSS Data File Inspection
Data Analysis with SPSS helps establish the purpose of analysis, but the software is capable of doing multiple things like inspection, segregation, and so on. As we know that data that we have in the folders are going to be used, the very basic thing that we need to do here is inspecting the data visually to have a clear picture of it.
3. SPSS Categorical Variable Inspection
Categorical inspection is one of every unique feature of SPSS software. You can do it in two different ways, one by running the frequency tables by showing both the values and value labels and inspecting the corresponding charts. If you find any disturbing issues during your inspection try to fix it then and there, if they cannot be fixed, then make a note of it so that you will be aware of it in the future.
4. SPSS Metric Variable Inspection
Metric variables can be inspected in two different ways, one by running the basic histograms over then and the other is by inspecting the simple descriptive tables. You should know that many histograms cannot be run through single line FREQUENCIES command. The basic descriptive table comes in a very handy format. It is for checking the completeness of a set of variables. It also provides a very quick comparison of means and standard deviations.
5. Edit Data
Editing the data is the very fundamental and primitive purpose of SPSS. It will allow you a great diversity in the approach of analyzing and editing the data set.
6. Choose and Run Tables, charts and Tests
Choosing and running the tables might seem very lucid, but you need to be very careful while you choose the set of data because sometimes choosing different data can increase the complexity of the data.