IBM SPSS is a user friendly option to easily analyze all sorts of data
Ariana Tart-Zelvin profile photo
March 31, 2017

IBM SPSS is a user friendly option to easily analyze all sorts of data

Score 9 out of 10
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Modules Used

  • IBM SPSS Statistics

Overall Satisfaction with IBM SPSS

It is used by a limited number of individuals in the department. It enables us to electronically organize, store, and analyze all sorts of data. It's fairly user friendly, especially for individuals that don't know how to code in programming languages. You can run high levels of statistical analyses using SPSS, test hypotheses for your research using SPSS, create graphs, etc. You can learn valuable descriptive information about an entire data set or about a single variable. Also, it's easy to create new variables using your existing data or perform transformation on problematic variables. You can use SPSS to see if existing data meets basic assumptions in order to conduct certain statistical analyses on the data.
  • IBM SPSS provides user friendly drop down menus.
  • If you hit "paste" it creates code for you based on what you have selected from drop down menus.
  • IBM SPSS easily organizes large data sets.
  • IBM SPSS keeps data secure with password protected databases.
  • IBM SPSS is not as flexible as R, for example, when analyzing data.
  • It is difficult to move data back and forth from IBM SPSS and Excel.
  • It's hard to manage very large (30,000+) data sets in IBM SPSS.
  • IBM SPSS has allowed me to quickly analyze data for research.
  • IBM SPSS has allowed me to complete analyses in order to submit research findings to conferences and complete manuscripts.
  • IBM SPSS has enabled me to meet research objectives set out in grant proposals.
R and Microsoft Excel
IBM SPSS is well suited for analyzing several different types of data. It is very well suited for psychology-related data or data associated with mental health. It's well suited for academics who have a basic foundation in statistics. It's also well suited for individuals who do not have coding experience. It's not very well suited when you need to analyze data collected from surveys - like SurveyMonkey, for example. It's not well suited for individuals who do not know basic statistics.