R package psych: Procedures for Psychological, Psychometric, and Personality Research , A number of routines for personality, psychometrics and experimental psychology. Functions are primarily for scale construction using factor analysis, cluster analysis and reliability analysis, although others provide basic descriptive statistics. Item Response Theory is done using factor analysis of tetrachoric and polychoric correlations. Functions for simulating particular item and test structures are included. Several functions serve as a useful front end for structural equation modeling. Graphical displays of path diagrams, factor analysis and structural equation models are created using basic graphics. Some of the functions are written to support a book on psychometrics as well as publications in personality research. For more information, see the webpage. (Source:

References in zbMATH (referenced in 25 articles )

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  1. Okan Bulut, Christopher David Desjardins: profileR: An R package for profile analysis (2020) not zbMATH
  2. Arevalillo, Jorge M.; Navarro, Hilario: A stochastic ordering based on the canonical transformation of skew-normal vectors (2019)
  3. David Navarro-Gonzalez; Andreu Vigil-Colet; Pere Ferrando; Urbano Lorenzo-Seva: Psychological Test Toolbox: A New Tool to Compute Factor Analysis Controlling Response Bias (2019) not zbMATH
  4. Rigdon, Edward E.; Becker, Jan-Michael; Sarstedt, Marko: Parceling cannot reduce factor indeterminacy in factor analysis: a research note (2019)
  5. Mair, Patrick: Modern psychometrics with R (2018)
  6. Epskamp, Sacha; Rhemtulla, Mijke; Borsboom, Denny: Generalized network psychometrics: combining network and latent variable models (2017)
  7. Hessen, David J.: Lower bounds to the reliabilities of factor score estimators (2017)
  8. Tan, Teck Kiang: Doubly classified model with R (2017)
  9. Cantaluppi, Gabriele; Boari, Giuseppe: A partial least squares algorithm handling ordinal variables (2016)
  10. Johnson, Kent: Realism and uncertainty of unobservable common causes in factor analysis (2016)
  11. Amatya, Anup; Demirtas, Hakan: MultiOrd: an R package for generating correlated ordinal data (2015)
  12. Anders, Royce; Batchelder, William H.: Cultural consensus theory for the ordinal data case (2015)
  13. Hunt, Tyler D.; Bentler, Peter M.: Quantile lower bounds to reliability based on locally optimal splits (2015)
  14. León, Jaime; Núñez, Juan L.; Liew, Jeffrey: Self-determination and STEM education: effects of autonomy, motivation, and self-regulated learning on high school math achievement (2015) MathEduc
  15. Anders, R.; Oravecz, Z.; Batchelder, W. H.: Cultural consensus theory for continuous responses: a latent appraisal model for information pooling (2014)
  16. Brechmann, Eike C.; Joe, Harry: Parsimonious parameterization of correlation matrices using truncated vines and factor analysis (2014)
  17. Conti, Gabriella; Frühwirth-Schnatter, Sylvia; Heckman, James J.; Piatek, Rémi: Bayesian exploratory factor analysis (2014)
  18. Manukyan, Artür; Çene, Erhan; Sedef, Ahmet; Demir, Ibrahim: Dandelion plot: a method for the visualization of R-mode exploratory factor analyses (2014)
  19. Tutz, Gerhard; Gertheiss, Jan: Rating scales as predictors -- the old question of scale level and some answers (2014)
  20. Wollschläger, Daniel: R compact. The fast introduction into data analysis (2013)

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