SPSS is a great tool that can handle big datasets and run advance stats. Takes a bit of time to learn.
November 16, 2018
SPSS is a great tool that can handle big datasets and run advance stats. Takes a bit of time to learn.
Score 9 out of 10
Vetted Review
Verified User
Modules Used
- IBM SPSS Statistics
Overall Satisfaction with IBM SPSS
We use SPSS to analyze our survey data. It is solely used by our research department. It helps us organize and analyze our data which we use to create reports.
Pros
- Handles big datasets.
- One can use either syntax or dropdown to create variables.
- Does almost any statistical testing, equations, or modeling desired.
- Can save datasets into numerous other file extensions.
- Has various extensions that can be purchased to assist with analysis and visualizations.
Cons
- Can be a steep learning curve.
- Not that innovative.
- Need to update versions every few years.
- Some in the business say it is antiquated and would rather use other programs. Seems mostly used in survey research and psychology research.
Since we all have SPSS backgrounds, it makes our lives easy to work together. And we use Qualtrics for our online surveys, which has an option to upload our data directly into SPSS. This way, we don't have to do all kinds of forming and manipulating of data to get it into SPSS.
It simply makes things more efficient for us. Especially since we have the custom tables module, which allows us to run crosstabulations showing significance between columns.
I've never used any other stats program, I've heard that R is great because it is open-source, but there is a very steep learning curve.
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