References

Abdi, Hervé, and Dominique Valentin. 2007a. “Correspondence Analysis.” In Encyclopedia of Measurement and Statistics, edited by Neil J. Salkind. Sage.

Abdi, Hervé, and Dominique Valentin. 2007b. “Multiple Correspondence Analysis.” In Encyclopedia of Measurement and Statistics, edited by Neil J. Salkind. Sage.

Aldás Manzano, Joaquı́n, and Ezequiel Uriel Jiménez. 2017. Análisis Multivariante Aplicado Con r. Ediciones Paraninfo, SA.

Aldás Manzano, Joaquı́n, and Ezequiel Uriel Jiménez. 2018. Análisis Multivariante Aplicado Con r. Ediciones Paraninfo, SA.

Anderson, James C, and David W Gerbing. 1988. “Structural Equation Modeling in Practice: A Review and Recommended Two-Step Approach.” Psychological Bulletin 103 (3): 411.

Bąk, Andrzej, and Tomasz Bartłomowicz. 2012. “Conjoint Analysis Method and Its Implementation in Conjoint r Package.” In Data Analysis Methods and Its Applications, edited by Józef Pociecha and Reinhold Decker. C.H. Beck.

Bartlett, Maurice S. 1950. “Tests of Significance in Factor Analysis.” British Journal of Psychology 3 (2): 77–85. https://doi.org/10.1111/j.2044-8317.1950.tb00285.x.

Benzécri, Jean-Paul. 1992. Correspondence Analysis Handbook. Marcel Dekker.

Byrne, Barbara M. 2016. Structural Equation Modeling with AMOS: Basic Concepts, Applications, and Programming. 3rd ed. Routledge. https://doi.org/10.4324/9781315757421.

Clausen, Sten-Erik. 1998. Applied Correspondence Analysis: An Introduction. Sage Publications. https://doi.org/10.4135/9780857020121.

Cronbach, Lee J. 1951. “Coefficient Alpha and the Internal Structure of Tests.” Psychometrika 16 (3): 297–334. https://doi.org/10.1007/BF02310555.

Demin, Gregory. 2023. Expss: Tables, Labels and Some Useful Functions from Spreadsheets and ’SPSS’ Statistics. https://CRAN.R-project.org/package=expss.

Dunn, Thomas J., Thom Baguley, and Viv Brunsden. 2014. “From Alpha to Omega: A Practical Solution to the Pervasive Problem of Internal Consistency Estimation.” British Journal of Psychology 105 (3): 399–412. https://doi.org/10.1111/bjop.12046.

Everitt, Brian S., Sabine Landau, Morven Leese, and Daniel Stahl. 2011. Cluster Analysis. 5th ed. John Wiley & Sons. https://doi.org/10.1002/9780470977844.

Field, Andy. 2018. Discovering Statistics Using IBM SPSS Statistics. 5th ed. Sage.

Green, Paul E., and V. Srinivasan. 1978. “Conjoint Analysis in Consumer Research: Issues and Outlook.” Journal of Consumer Research 5 (2): 103–23. https://doi.org/10.1086/208721.

Greenacre, Michael. 2017. Correspondence Analysis in Practice. 3rd ed. Chapman; Hall/CRC. https://doi.org/10.1201/9781315151642.

Hair, Joseph F, Rolph E Anderson, Ronald L Tatham, and William C Black. 1999. Análisis Multivariante. Prentice Hall.

Hair, Joseph F., William C. Black, Barry J. Babin, and Rolph E. Anderson. 2019. Multivariate Data Analysis. 8th ed. Cengage Learning.

Hair, Joseph F., G. Tomas M. Hult, Christian M. Ringle, Marko Sarstedt, Nicholas P. Danks, and Soumya Ray. 2021. Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R: A Workbook. Springer. https://doi.org/10.1007/978-3-030-80519-7.

Hawkins, Douglas M. 1980. Identification of Outliers. Vol. 11. Springer. https://doi.org/10.1007/978-94-009-5999-9.

Helveston, John Paul. 2023. “logitr: Fast Estimation of Multinomial and Mixed Logit Models with Preference Space and Willingness-to-Pay Space Utility Parameterizations.” Journal of Statistical Software 105 (10): 1–37. https://doi.org/10.18637/jss.v105.i10.

Helveston, John Paul. 2025. cbcTools: Design and Analyze Choice-Based Conjoint Experiments. https://jhelvy.github.io/cbcTools/.

Henseler, Jörg, Christian M. Ringle, and Marko Sarstedt. 2015. “A New Criterion for Assessing Discriminant Validity in Variance-Based Structural Equation Modeling.” Journal of the Academy of Marketing Science 43 (1): 115–35. https://doi.org/10.1007/s11747-014-0403-8.

Ho, Robert. 2013. Handbook of Univariate and Multivariate Data Analysis with IBM SPSS. CRC press. https://doi.org/10.1201/b15605.

Hoffman, Donna L., and George R. Franke. 1986. “Correspondence Analysis: Graphical Representation of Categorical Data in Marketing Research.” Journal of Marketing Research 23 (3): 213–27. https://doi.org/10.1177/002224378602300302.

Hosmer, David W., Stanley Lemeshow, and Rodney X. Sturdivant. 2013. Applied Logistic Regression. 3rd ed. John Wiley & Sons. https://doi.org/10.1002/9781118548387.

Hu, Li-tze, and Peter M. Bentler. 1999. “Cutoff Criteria for Fit Indexes in Covariance Structure Analysis: Conventional Criteria Versus New Alternatives.” Structural Equation Modeling: A Multidisciplinary Journal 6 (1): 1–55. https://doi.org/10.1080/10705519909540118.

James, Gareth, Daniela Witten, Trevor Hastie, and Robert Tibshirani. 2021. An Introduction to Statistical Learning with Applications in R. 2nd ed. Springer. https://doi.org/10.1007/978-1-0716-1418-1.

Jolliffe, Ian T., and Jorge Cadima. 2016. “Principal Component Analysis: A Review and Recent Developments.” Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 374 (2065): 20150202. https://doi.org/10.1098/rsta.2015.0202.

Jöreskog, Karl G. 1969. “A General Approach to Confirmatory Maximum Likelihood Factor Analysis.” Psychometrika 34 (2): 183–202. https://doi.org/10.1007/BF02289343.

Kaiser, Henry F. 1974. “An Index of Factorial Simplicity.” Psychometrika 39 (1): 31–36. https://doi.org/10.1007/BF02291575.

Kass, Gordon V. 1980. “An Exploratory Technique for Investigating Large Quantities of Categorical Data.” Journal of the Royal Statistical Society: Series C (Applied Statistics) 29 (2): 119–27. https://doi.org/10.2307/2986296.

Kline, Rex B. 2016. Principles and Practice of Structural Equation Modeling. 4th ed. The Guilford Press.

Kunst, Joshua. 2026. Highcharter: A Wrapper for the ’Highcharts’ Library. https://doi.org/10.32614/CRAN.package.highcharter.

Le Roux, Brigitte, and Henry Rouanet. 2010. Multiple Correspondence Analysis. Sage Publications. https://doi.org/10.4135/9781412985211.

Lebart, Ludovic, Marie Piron, and Alain Morineau. 2006. Statistique Exploratoire Multidimensionnelle. Dunod.

Louviere, Jordan J., Terry N. Flynn, and A. A. J. Marley. 2015. Best-Worst Scaling: Theory, Methods and Applications. Cambridge University Press. https://doi.org/10.1017/CBO9781107337855.

MacQueen, J. 1967. “Some Methods for Classification and Analysis of Multivariate Observations.” In Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, Volume 1: Statistics, edited by L. M. Le Cam and J. Neyman. University of California Press.

McFadden, Daniel. 1974. “Conditional Logit Analysis of Qualitative Choice Behavior.” In Frontiers in Econometrics, edited by Paul Zarembka. Academic Press.

Nenadic, Oleg, and Michael Greenacre. 2007. “Correspondence Analysis in R, with Two- and Three-Dimensional Graphics: The Ca Package.” Journal of Statistical Software 20 (3): 1–13. https://doi.org/10.18637/jss.v020.i03.

Peng, Roger. 2020. Exploratory Data Analysis with r. Leanpub. https://bookdown.org/rdpeng/exdata/.

Ritschard, Gilbert. 2013. “CHAID and Earlier Supervised Tree Methods.” In Contemporary Issues in Exploratory Data Mining in the Behavioral Sciences, edited by John J. McArdle and Gilbert Ritschard. Routledge.

Sarstedt, Marko, Christian M. Ringle, and Joseph F. Hair. 2020. “Partial Least Squares Structural Equation Modeling.” In Handbook of Market Research. Springer. https://doi.org/10.1007/978-3-319-57413-4_15.

Sourial, Nadia, Christina Wolfson, and Binyan Zhu. 2010. “Correspondence Analysis: A Useful Tool for the Analysis of Health Survey Data.” Journal of Epidemiology & Community Health 64 (8): 665–66. https://doi.org/10.1136/jech.2009.092147.

Tabachnick, Barbara G., and Linda S. Fidell. 2013. Using Multivariate Statistics. 6th ed. Pearson.

Uriel, Ezequiel, and Joaquín Aldás. 2005. Análisis Multivariante Aplicado. Thomson.

Ward, Joe H. 1963. “Hierarchical Grouping to Optimize an Objective Function.” Journal of the American Statistical Association 58 (301): 236–44. https://doi.org/10.1080/01621459.1963.10500845.

Weller, Susan C., and A. Kimball Romney. 1988. Systematic Data Collection. Sage Publications. https://doi.org/10.4135/9781412986225.

Wickham, Hadley. 2016. Ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York. https://doi.org/10.1007/978-3-319-24277-4.

Wickham, Hadley, Mara Averick, Jennifer Bryan, et al. 2019. “Welcome to the tidyverse.” Journal of Open Source Software 4 (43): 1686. https://doi.org/10.21105/joss.01686.

Wickham, Hadley, Mine Çetinkaya-Rundel, and Garrett Grolemund. 2023. R for Data Science: Visualize, Model, Transform, Tidy, and Import Data. 2nd ed. O’Reilly Media, Inc.

Wold, Herman. 1982. “Soft Modeling: The Basic Design and Some Extensions.” In Systems Under Indirect Observation: Causality, Structure, Prediction, edited by Karl G. Jöreskog and Herman Wold. North-Holland.