SPSS is considered as application software that can be utilized as a statistical analytic tool in the social science field, such as rival analysis, business research, reviews, and many more. It is a massive library of machine learning algorithms, open-source extensibility, text analysis, combination with extensive data, and seamless deployment into applications. SPSS is also regarded as a manageable and comprehensive statistical data management tool that is easy to use. It is the most striking statistics set that can help a user to execute complicated data analyses and data manipulation efficiently. This statistical analytic tool is intended for both interactive and non-interactive users. Before moving to the uses of SPSS, let’s review the characteristics, functionalities, and advantages of SPSS.
Features of SPSS
- SPSS offers you numerous statistical skills.
- It consists of specific editing tools and data administration methods.
- SPSS presents various features like great recording, plotting, and data presentation
Functionalities of SPSS
- Data administration.
- Survival analysis.
- General Linear Model.
- Probit analysis.
- Cluster analysis.
- Time series.
- Graphics and graphical interface.
- Reliability tests.
- Data Transformations.
- Descriptive statistics.
- Factor analysis.
Benefits of SPSS
- Efficient data management: SPSS interprets data quicker and more comfortably as this tool’s program identifies variables and cases specific locations. It is easy to use and lessens the programmers’ standard workload up to an extent.
- A broad range of options: SPSS offers a broad range of tables, designs, and techniques to users. It also possesses more reliable cleaning and screening options for the information which a user can use for further analysis.
- Extensive storage: The output produced by the SPSS tool resides separately from the additional data. In simple words, SPSS holds the output in different folders.
Applications of SPSS
Data organization and collection
SPSS is primarily used as a data collection tool by many researchers. In SPSS, the data entry screen resembles similar to other spreadsheet software. A user can enter quantitative data and variables and further store that file as data files. Moreover, a user can organize their data in SPSS by allowing resources to another variable.
Here is an example: A single variable can be easily defined as a nominal variable, and the necessary information can be stored in the SPSS. Today or in the future, if you enter a particular data file that may be in weeks, months, or even years, then you will be able to see that the data will be handled in the same way as you did before.
Once a user gathers and inserts data into the SPSS datasheet, one can generate the data’s output files. For instance, to decide whether your data set is naturally distributed, you can construct frequency distributions of your data. In an output file, the frequency spectrum is shown. You can export items and insert them in a research article you are writing from the output file. Therefore, instead of recreating a table or graph, it may be taken directly from the output data.
Statistical tests are another of the most powerful software applications of SPSS that play an essential role in testing statistical data. That is why the mathematical equations don’t need to be determined by their fingertips. The expected outputs will be shown in the appropriate data output files while one conducts a statistical test. With the assistance of sophisticated statistical export techniques, one can export their results. This technique is used mainly for data that is not normally distributed.
Finding Mean Mode Median by using SPSS:
Suppose you have to Find the mean mode median by using SPSS of the given data set: 40,36,85,78,44,55
Step 1: First of all, Turn on SPSS. You will find the dialog box “What would you like to do?” on the first page. Now tap the “type in data” button and then tick “OK.” it will open your brand-new worksheet. Note: suppose you left the option in the first help screen; you might not recognize this option. That time, use Step 2.
Step 2: Enter the data in the worksheet. If you have various data sets, then it is easier for you to enter the data into 1 column or many columns. For this example, type 40,36,85,78,44,55 into column 1. try not to leave the spaces between the data (i.e., don’t neglect any blank rows).
Step 3: Tap on the button “Analyze,” then “Descriptive Statistics,” now you have to click “Frequencies.“
Step 4: Tick the option of “Statistics,” and now review the options”mean”, “median,” and “mode,” and now double tap on the “Continue” button and choose the “none” option that looks like the table type in the following window.
Note: In SPSS few versions, you have to click a single time on the “Continue” button, and it might not present you a choice for chart type.
SPSS is considered as an adaptable and active program intended to offer a range of statistical procedures. It is application software that can be utilized as a statistical analytic tool in the various fields and broadly applied in a variety of methods and is available from every computer pool. In this article we have listed some important uses of SPSS, this article helps you to understand more about SPSS.