SPSS is a very popular software for analyzing information and ascertaining a wide assortment of statistics. It is built on the basis of SPSS programming language. The students can do basic data analysis with the help of menus and dialogue boxes. Not only students but many researchers, professionals and organizations use SPSS worldwide due to its reliability, performance, and complex and large scale data handling and interpreting.
As told by experts of a coursework writing service, Statistical Package for Social Sciences abbreviated as SPSS was first created and launched by Norman H. Nie, Dale H. Bent, and C. Hadlai Hull by SPSS Inc. in1968. Then in 2009 IBM acquired it and named it as IBM SPSS. The original name of Statistical Package for Social Sciences was under the umbrella. Later on, its name was again changed to Statistical Product and Service Solutions. Its latest version twenty five was launched on August 25, 2017, and known as SPSSv25. It also has an open-source version. This open source version is known as PSPP. The PSPP version of SPSS is very fast and reliable and allows professional handling of large amounts of data, data computation, storage, probabilistic theories, reasoning, discrete structures, databases, memory management and formats. It helps in creating the process in batches.
Features and Functions of SPSS:
SPSS has four elementary functions, which are; statistics programs, modeler program, text analytics for surveys program and visualization designer. The Statistics program of SPSS offers basic statistical functions like frequencies, cross tabulation, and bivariate statistics. The modeler program of SPSS helps the researchers to create and authorize analytical models through the advanced statistical procedures. Through text analytics for survey programs, researchers and survey administrators can get useful responses for open ended survey questions.
Visualization designer of SPSS offers you to present your data in the form of charts and boxplots. You can open a file of any format in SPSS. It also allows you to edit data like calculating sums and means of columns and rows and frequency counts. It can also handle complex operations. You can create tables and charts; can also do inferential statistics like regression, correlation, cluster analysis, t-tests, factor analysis, chi-square tests, non-parametric tests and ANOVA. In SPSS you have the option to save your output and results in various file formats.
Benefits of SPSS:
SPSS is the most powerful tool for handling, operating and interpreting the data on a large scale. It allows you to easily export data. It saves the files in .sav format and it can be only opened with notepad only. It is very flexible to use and can be customized according to your work requirement.
Statistical Package for Social Sciences is a very common and famous tool for statistical analysis. It allows you to handle and process data in two ways.
- Interactive Batches
- Non Interactive Batches
How to Use SPSS:
When you open SPSS it first displays you a spreadsheet known as data view. It displays your data values. There is a second spreadsheet known as variable view which contains variables and metadata. In SPSS language variable view is called codebook or dictionary. You can analyze any type of data. For analyzing the data in SPSS you have to use menu options for descriptive statistics. It will open a dialogue box and choose one or more variables and can use one or more statistics according to your requirement. The output is viewed in another window known as the output viewer window. One of the unique features of SPSS is reporting. It shows the reports in the form of tables and charts which can easily be copied and pasted in any other program.
Not only this, but you can also create your own coding in SPSS. This requires another window known as syntax editor window. In this window, you can type and run codes. These codes are called SPSS syntax. You can also save, edit and rerun these syntaxes. Although SPSS has its own file format. SAV, however, it also supports different file formats like plain text files, SAS, Stata, SQL and MS Excel. When you enter your data in SPSS and your data is in raw form then you can edit them for analysis using the different editing options available in SPSS like date, numeric and string functions.