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 639 articles , 11 standard articles )

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  1. Denis, Daniel J.: Applied univariate, bivariate, and multivariate statistics: understanding statistics for social and natural scientists. With applications in SPSS and R (2021)
  2. Fang, Jiqian (ed.); Hao, Yuantao (ed.); Yu, Chuanhua (ed.); Zhang, Yanbo (ed.); Gu, Jing (ed.); Xu, Tianhe (ed.): Statistical methods for biomedical research. Translated from the 2nd Chinese edition (2021)
  3. Bommert, Andrea; Sun, Xudong; Bischl, Bernd; Rahnenführer, Jörg; Lang, Michel: Benchmark for filter methods for feature selection in high-dimensional classification data (2020)
  4. Chen, Dandan; Zhang, Jinming: Book review of: T. Raykov and G. A. Marcoulides, A course in item response theory and modeling with Stata (2020)
  5. Denis, Daniel J.: Univariate, bivariate, and multivariate statistics using R. Quantitative tools for data analysis and data science (2020)
  6. Dimitrina S. Dimitrova, Vladimir K. Kaishev, Senren Tan: Computing the Kolmogorov-Smirnov Distribution When the Underlying CDF is Purely Discrete, Mixed, or Continuous (2020) not zbMATH
  7. Janczyk, Markus; Pfister, Roland: Understanding inference statistics. From A for significance test to Z for confidence interval (2020)
  8. Markus D. Steiner; Silvia Grieder: EFAtools: An R package with fast and exible implementations of exploratory factor analysis tools (2020) not zbMATH
  9. Matthias Speidel, Jörg Drechsler, Shahab Jolani: The R Package hmi: A Convenient Tool for Hierarchical Multiple Imputation and Beyond (2020) not zbMATH
  10. Modesto Escobar, Luis Martinez-Uribe: Network Coincidence Analysis: The netCoin R Package (2020) not zbMATH
  11. Panagiotis Papastamoulis, Ioannis Ntzoufras: On the identifiability of Bayesian factor analytic models (2020) arXiv
  12. Pereira, C.; Hamadyk, E.; Silva, A.: Probabilistic analysis of the durability of architectural concrete surfaces (2020)
  13. Rainer Hirk, Kurt Hornik, Laura Vana: mvord: An R Package for Fitting Multivariate Ordinal Regression Models (2020) not zbMATH
  14. Salmerón-Gómez, Román; Rodríguez-Sánchez, Ainara; García-García, Catalina: Diagnosis and quantification of the non-essential collinearity (2020)
  15. Shah, S. R.; Ukaegbu, C. I.; Hamid, H. A.; Rahim, M. H. A.; Chuan, Z. L.: Statistical analysis of solvent polarity effects on phytochemicals extraction: multiple correspondence analysis (MCA) approach (2020)
  16. Thakkar, Jitesh J.: Structural equation modelling. Application for research and practice (with AMOS and R) (2020)
  17. Thanh V. Pham, Jeffrey D. Kromrey, Yi-Hsin Chen, Eun Sook Kim, Diep T. Nguyen, Yan Wang: ANOVA_robust: A SAS Macro for Parametric Tests of Mean Differences in One-Factor ANOVA Models (2020) not zbMATH
  18. van Meegen, Carmen; Schnackenberg, Sarah; Ligges, Uwe: Unequal priors in linear discriminant analysis (2020)
  19. Christine Harvey; R. S. Weigel: Transplant2Mongo: Python Scripts that Insert Organ Procurement and Transplantation Network (OPTN) Data in MongoDB (2019) not zbMATH
  20. Cleff, Thomas: Applied statistics and multivariate data analysis for business and economics. A modern approach using SPSS, Stata, and Excel (2019)

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