Getting Started with SPSS, here are the tips and tricks

Technological advancement is driving the world towards the niche of betterment. According to the survey, they say that every second there is a new technology being machined. In this article, we are going to talk about the tips and tricks that help you to get started with SPSS.

What is SPSS?

SPSS stands for Statistical Package for Social Sciences. It was established in the year 1968. After the conquer SPSS by IBM in 2009, it is now officially called the IBM SPSS Statistics.

SPSS is software which is used for editing and analyzing all kinds of data with limited duration of time. The data here we are talking about can be from any sources, for example, customer database, Google Analytics, scientific research and development.

What is an SPSS Data Editor Window?

SPSS Data Editor Window is used to edit the data that are unorganized or which demands a polish. Though it is called a Data Editor, it can do several other things like inspecting, manipulating and things.

Using SPSS, you can actually work on three different windows type. They are the Data Editor window, the Syntax Editor window and the Output Viewer window.

What is an Output Viewer?

As the name says output viewer is an SPAA window that exhibits the results of the analysis. This particular window has two sections in it. The left section consists of a menu pane. In this section, you will be able to find the analysis that you performed. The right section displays the performed analysis, which consists of tables, charts and graphs.

These following tech tips can assist you to nail the SPSS

1.     Learn to customize the Toolbars in IBM SPSS Statistics

For an easy start, it is better to learn how to customize the existing toolbars and create new ones. After you create the new ones, learn how to launch them frequently as per demand by following the right procedure and generate graphs and charts using the tool button.

2.    Learn to identify Duplicate cases in IBM SPSS Statistics

The database might seem easy to deal with, but it has its own risk since it is all data, and in many circumstances, it is redundant data. Handling them needs focus. Especially when you try to remove the duplicate data or case from the dataset.

3.    Counting the occurrences

This helps you to calculate the total number of different responses a respondent gives to the number of questions regarding the different product that he/she buys.

4.    Dealing with the graphs

SPSS allows you to use effective and efficient graphs to showcase the value readings about the data set. You can also ask an spss help to help you learn how to create transparent graphs that can be used in a presentation, websites or anywhere else as desired.

5.    Creating customer attributes

Creating customer attributes for variables help you to have your own customer variable where you can add notes such as survey responses, FAQs and any other descriptions.