SPSS

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 405 articles , 11 standard articles )

Showing results 1 to 20 of 405.
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  1. Christine Harvey; R. S. Weigel: Transplant2Mongo: Python Scripts that Insert Organ Procurement and Transplantation Network (OPTN) Data in MongoDB (2019) not zbMATH
  2. 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
  3. Ma, Wenchao: A diagnostic tree model for polytomous responses with multiple strategies (2019)
  4. Stockemer, Daniel: Quantitative methods for the social sciences. A practical introduction with examples in SPSS and Stata (2019)
  5. Verma, J. P.; Abdel-Salam, Abdel-Salam G.: Testing statistical assumptions in research (2019)
  6. Agresti, Alan: An introduction to categorical data analysis (2018)
  7. Al Wadi, S.: Modification of accuracy estimation using stock market data (2018)
  8. 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)
  9. Borg, Ingwer; Groenen, Patrick J. F.; Mair, Patrick: Applied multidimensional scaling and unfolding (2018)
  10. 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
  11. Duller, Christine: Introduction to nonparametric statistics with SAS, R and SPSS. An application-oriented text and working book (2018)
  12. Elalouf, Hadas; Kaspi, Moshe; Elalouf, Amir; Halachmi, Ilan: Optimal operation policy for a sustainable recirculation aquaculture system for ornamental fish: simulation and response surface methodology (2018)
  13. Kapucu, Tuğba; Ilk, Ozlem; Batmaz, Inci: A categorical principal component regression on computer-assisted instruction in probability domain (2018)
  14. Mair, Patrick: Modern psychometrics with R (2018)
  15. Mark Donoghoe; Ian Marschner: logbin: An R Package for Relative Risk Regression Using the Log-Binomial Model (2018) not zbMATH
  16. Nkeki, Charles I.: Optimal pension fund management in a jump-diffusion environment: theoretical and empirical studies (2018)
  17. Safa, Fariba: Novel atom-type-based topological descriptors for simultaneous prediction of gas chromatographic retention indices of saturated alcohols on different stationary phases (2018)
  18. An, Ji; Stapleton, Laura M.: Book review of: W. H. Finch et al., Multilevel modeling using R (2017)
  19. Daniel Caro; Przemysław Biecek: intsvy: An R Package for Analyzing International Large-Scale Assessment Data (2017) not zbMATH
  20. García-Santillán, Arturo: Measuring set latent variables that explain attitude toward statistic through exploratory factor analysis with principal components extraction and confirmatory analysis (2017)

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