Providing with the right numerical, statistics, graphs will ensure the reliability of the research. It facilitates in better understanding of the information provided. Thus, the inclusion of data is highly recommended for research. The advancement of technology has aided in keeping track of counts and numbers.
Various online statistic analyzing websites have emerged to ease the process. When you open it, you see the familiar tabular grid and can enter values in cells.
Spreadsheets, on the other hand, are capable of a lot of things that SPSS is good at, like generating graphs and statistics on a data set. The difference can be summed up by saying that spreadsheets are designed to be very flexible and broadly applicable to many different tasks, while SPSS was designed specifically for statistical processing of large amounts of data at an enterprise level.
The SPSS deals with statistical algorithms with more focus on data manipulation. Excel is the combination of mathematics and data storage with multiple formats. Usage Statistical calculations and manipulation of data as per IBM guidelines.
Managing and storing data with formulated operations defined by Microsoft. Excel is spreadsheet software, SPSS is statistical analysis software.
SPSS has built-in data manipulation tools such as recoding, transforming variables, and in Excel, you have a lot of work if you want to do that job. SPSS allows you to perform complex analytics such as factor analysis, logistic regression, cluster analysis etc. Excel does not give you a paper trail where you can easily replicate the exact steps that you took.
It also starts becoming unwieldy to use when the number of variables and observations starts getting really large.
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