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Abstract

There are numerous statistical analysis software systems of generally high quality currently available. We review and compare five such software systems, i.e. statistical packages, in this chapter with a view to what they can accomplish and why they might be useful to business, social and behavioural researchers: SPSS, SYSTAT, NCSS, STATGRAPHICS Centurion and R. These five packages serve as primary focal points when reviewing available computer programs for conducting specific statistical procedures throughout this book. Other packages are also briefly reviewed including Stata, Statistica, SAS, eViews, MPlus, UNISTAT, XLSTAT, Excel and AMOS. Finally, we discuss several considerations with respect to using statistical software packages including how to prepare and check data and some caveats relating to their use.

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Notes

  1. 1.

    For details on SPSS, see https://www.ibm.com/products/spss-statistics

  2. 2.

    For details on SYSTAT, see https://systatsoftware.com/products/systat/

  3. 3.

    For details on NCSS, see https://www.ncss.com/software/ncss/

  4. 4.

    For details on STATGRAPHICS Centurion, see http://www.statgraphics.com/

  5. 5.

    For details on R, see https://www.r-project.org/. For details on R Commander (the Rcmdr package), see http://www.rcommander.com/. For details on the psych package, see https://cran.r-project.org/web/packages/psych/index.html. For details on R Studio, see https://www.rstudio.com/

  6. 6.

    For details on Stata, see https://www.stata.com/

  7. 7.

    For details on STATISTICA, see https://www.statsoft.de/en/statistica

  8. 8.

    For details on SAS, see https://www.sas.com/en_au/home.html

  9. 9.

    For details on eViews, see http://www.eviews.com/home.html

  10. 10.

    For details on MPlus, see https://www.statmodel.com/

  11. 11.

    For details on UNISTAT, see https://www.unistat.com/

  12. 12.

    For details on XLSTAT, see https://www.xlstat.com/en/

  13. 13.

    For details on Excel, see https://products.office.com/en-au/excel

  14. 14.

    For details on AMOS, see https://www.ibm.com/au-en/marketplace/structural-equation-modeling-sem

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Cooksey, R.W. (2020). Computer Programs for Analysing Quantitative Data. In: Illustrating Statistical Procedures: Finding Meaning in Quantitative Data . Springer, Singapore. https://doi.org/10.1007/978-981-15-2537-7_3

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