SPSS is essential for quality data analysis
January 25, 2018

SPSS is essential for quality data analysis

Ember Urbach, LMSW | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

Modules Used

  • IBM SPSS Statistics
  • IBM SPSS Modeler

Overall Satisfaction with IBM SPSS

IBM SPSS is used by our organization for data analysis and reporting procedures. We evaluate various social programs and use data to support social programming across the state and nationally. This gives us the tools to easily summarize data and find statistically significant information to share with our stakeholders, policy makers, and social service providers.
  • Summarizing descriptive statistics
  • Labeling variables and input data
  • Utilizing programming language to easily generate reports
  • Learning curve is steep for some users
  • Interface can be complex at times
  • Does not run well on older computers we sometimes have to use
IBM SPSS is the statistical package universities hope to use for quantitative data. Without SPSS, we would be hand counting or using spreadsheet software to find statistical meaning and creating charts. IBM SPSS is a one stop shop for analysis and presentation in charts, graphs, and visuals. Without this, we would use up many more work hours trying to present data.
IBM SPSS is the statistical package provided to us by the larger university departments. It helps us in our grant writing, evaluation services, and in making recommendations for policy and procedure change, helping us fulfill our mission and doing so with a solid knowledgebase.
IBM SPSS is well-suited for summarizing large data sets, comparing data and variables, and finding correlates between and among data sets. SPSS allows individuals to share data sets and work collaboratively. SPSS is not well-suited for analyzing qualitative data or data sets that have not yet been coded, except for small variable changes. SPSS also does not have real-time editing so collaboration cannot occur at the same time.