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 391 articles , 11 standard articles )

Showing results 1 to 20 of 391.
Sorted by year (citations)

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  1. Stockemer, Daniel: Quantitative methods for the social sciences. A practical introduction with examples in SPSS and Stata (2019)
  2. Al Wadi, S.: Modification of accuracy estimation using stock market data (2018)
  3. 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)
  4. Delia Voronca; Mulugeta Gebregziabher; Valerie Durkalski-Mauldin; Lei Liu; Leonard Egede: MTPmle: A SAS Macro and Stata Programs for Marginalized Inference in Semi-Continuous Data (2018) not zbMATH
  5. Kapucu, Tuğba; Ilk, Ozlem; Batmaz, Inci: A categorical principal component regression on computer-assisted instruction in probability domain (2018)
  6. Mair, Patrick: Modern psychometrics with R (2018)
  7. Mark Donoghoe; Ian Marschner: logbin: An R Package for Relative Risk Regression Using the Log-Binomial Model (2018) not zbMATH
  8. Nkeki, Charles I.: Optimal pension fund management in a jump-diffusion environment: theoretical and empirical studies (2018)
  9. An, Ji; Stapleton, Laura M.: Book review of: W. H. Finch et al., Multilevel modeling using R (2017)
  10. Daniel Caro; Przemysław Biecek: intsvy: An R Package for Analyzing International Large-Scale Assessment Data (2017) not zbMATH
  11. García-Santillán, Arturo: Measuring set latent variables that explain attitude toward statistic through exploratory factor analysis with principal components extraction and confirmatory analysis (2017)
  12. Jia, Baoshan; Wang, Hanyuan; Jin, Ke; Li, Zongxiang; Li, Shouguo: Principal component analysis of coal spontaneous combustion application (2017)
  13. Jianxin Pan, Yi Pan: jmcm: An R Package for Joint Mean-Covariance Modeling of Longitudinal Data (2017) not zbMATH
  14. Johan Steen and Tom Loeys and Beatrijs Moerkerke and Stijn Vansteelandt: medflex: An R Package for Flexible Mediation Analysis using Natural Effect Models (2017) not zbMATH
  15. Kim, Chanmin; Daniels, Michael J.; Marcus, Bess H.; Roy, Jason A.: A framework for Bayesian nonparametric inference for causal effects of mediation (2017)
  16. Koch, Tobias; Schultze, Martin; Holtmann, Jana; Geiser, Christian; Eid, Michael: A multimethod latent state-trait model for structurally different and interchangeable methods (2017)
  17. Koppenol, Daniël C.; Vermolen, Fred J.; Koppenol-Gonzalez, Gabriela V.; Niessen, Frank B.; van Zuijlen, Paul P. M.; Vuik, Kees: A mathematical model for the simulation of the contraction of burns (2017)
  18. Massoni, Sébastien; Roux, Nicolas: Optimal group decision: a matter of confidence calibration (2017)
  19. Rahman, Azizur: Small area housing stress estimation in Australia: calculating confidence intervals for a spatial microsimulation model (2017)
  20. Ross, Sheldon M.: Introductory statistics. (2017)

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