SPSS is a computer program used for survey authoring and deployment (IBM SPSS Data Collection), data mining (IBM SPSS Modeler), text analytics, statistical analysis, and collaboration and deployment (batch and automated scoring services).

This software is also referenced in ORMS.

References in zbMATH (referenced in 438 articles , 11 standard articles )

Showing results 1 to 20 of 438.
Sorted by year (citations)

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  1. Janczyk, Markus; Pfister, Roland: Understanding inference statistics. From A for significance test to Z for confidence interval (2020)
  2. Modesto Escobar, Luis Martinez-Uribe: Network Coincidence Analysis: The netCoin R Package (2020) not zbMATH
  3. Pereira, C.; Hamadyk, E.; Silva, A.: Probabilistic analysis of the durability of architectural concrete surfaces (2020)
  4. Rainer Hirk, Kurt Hornik, Laura Vana: mvord: An R Package for Fitting Multivariate Ordinal Regression Models (2020) not zbMATH
  5. Christine Harvey; R. S. Weigel: Transplant2Mongo: Python Scripts that Insert Organ Procurement and Transplantation Network (OPTN) Data in MongoDB (2019) not zbMATH
  6. Cleff, Thomas: Applied statistics and multivariate data analysis for business and economics. A modern approach using SPSS, Stata, and Excel (2019)
  7. Devaud, Denis; Tillé, Yves: Deville and Särndal’s calibration: revisiting a 25-years-old successful optimization problem (2019)
  8. Jonathon Love; Ravi Selker; Maarten Marsman; Tahira Jamil; Damian Dropmann; Josine Verhagen; Alexander Ly; Quentin Gronau; Martin Šmíra; Sacha Epskamp; Dora Matzke; Anneliese Wild; Patrick Knight; Jeffrey Rouder; Richard Morey; Eric-Jan Wagenmakers: JASP: Graphical Statistical Software for Common Statistical Designs (2019) not zbMATH
  9. Ma, Wenchao: A diagnostic tree model for polytomous responses with multiple strategies (2019)
  10. Noh, Maengseok; Lee, Youngjo; Oud, Johan H. L.; Toharudin, Toni: Hierarchical likelihood approach to non-Gaussian factor analysis (2019)
  11. Rising Odegua: DataSist: A Python-based library for easy data analysis, visualization and modeling (2019) arXiv
  12. Sergio Venturini, Mehmet Mehmetoglu: plssem: A Stata Package for Structural Equation Modeling with Partial Least Squares (2019) not zbMATH
  13. Stockemer, Daniel: Quantitative methods for the social sciences. A practical introduction with examples in SPSS and Stata (2019)
  14. Theodor Balan; Hein Putter: frailtyEM: An R Package for Estimating Semiparametric Shared Frailty Models (2019) not zbMATH
  15. Verma, J. P.; Abdel-Salam, Abdel-Salam G.: Testing statistical assumptions in research (2019)
  16. Weigand, Christoph: Statistics with and without randomness. An application oriented introduction (2019)
  17. Agresti, Alan: An introduction to categorical data analysis (2018)
  18. Al Wadi, S.: Modification of accuracy estimation using stock market data (2018)
  19. Bokhari, Ehsan; Hubert, Lawrence: The lack of cross-validation can lead to inflated results and spurious conclusions: a re-analysis of the MacArthur violence risk assessment study (2018)
  20. Borg, Ingwer; Groenen, Patrick J. F.; Mair, Patrick: Applied multidimensional scaling and unfolding (2018)

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