Great tool for statistical analysis
August 24, 2018

Great tool for statistical analysis

Jared Hansen | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Modules Used

  • IBM SPSS Statistics

Overall Satisfaction with IBM SPSS

I was in the School of Communications at BYU, and for statistical analysis, SPSS seemed to be the standard. While I didn't ask every professor about it, SPSS was the only tool taught in the quantitative methods class at the graduate level, as well as the undergrad research class. It is a powerful tool used for running statistics for research, and while not the most user-intuitive, it is a standard in the academic community. Much like a calculator, it allows for researchers to run numbers and decide if their hypothesis is true or not.

Pros

  • Regression analysis
  • Chi-square analysis
  • One-way ANOVAs
  • Descriptive statistics
  • Huge data sets

Cons

  • The user interface is unwieldy
  • Macros are used to fill holes in the functionality of the software (which is good and bad, these things should later be implemented)
  • The learning curve is ridiculously steep
IBM SPSS is well suited for quantitative analysis of academic research. In doing qualitative research, it falls rather short. It has great tools and functionality to meet the needs of both students and professors (across all skill levels) when doing statistical analysis. It works great with Qualtrics which allows you to download your data as an SPSS save file.

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