Resources

Relevant Applied Statistics and Psychometric Books

  • Agresti, A. (1996). Introduction to Categorical data Analysis. Second Edition. Wiley Series.

  • Andrich, D. & Marais, I. (2019). A Course in Rasch Measurement Theory: Measuring in the Educational, Social and Health Sciences, Singapore: Springer.

  • Beaujean, A. (2014). Latent Variable modeling using R: A step-by-step guide, Routledge, New York.

  • Bickel, R. (2007) Multilevel Analysis for Applied Research: It’s Just Regression! (Methodology in the Social Sciences). New York, NY: The Guildford Press.

  • Brown, T. (2006). Confirmatory Factor Analysis for Applied Research, The Guilford Press, New York.

  • Collins, L. & Lanza, S. (2010). Latent Class and Latent Transition Analysis with applications in the Social, Behavioral, and Health Sciences, Wiley & Sons, inc., New Jersey.

  • Crocker, L. & Algina, J. (2009). Introduction to Classical & Modern Test Theory. Cengage Learning

  • de Ayala, R. J. (2009). The Theory and Practice of Item Response Theory, The Guilford Press, New York.

  • Finch, H. & French, B. (2015). Latent Variable Modeling with R. Routledge-New York.

  • Fox, J. (2008). Applied Regression Analysis and Generalized Linear Models, Second Edition. Sage Publications.

  • Gelman, A., & Gill, J. (2007). Data Analysis Using Regression and Multilevel/Hierarchical Mod- els, Cambridge University Press.

  • Raykov, T. & Marcoulides, G. (2006). A first course in Structural Equation Modeling, Lawrence Erlbaum Associates, New Jersey.

  • van der Linden, J. ed. (2016). Handbook of Item Response Theory. CRC Press, Taylor and Francis Group.

  • Wilson, M. (2005). Constructing Measures. An Item Response Modeling Approach. New Jersey: Lawrence Erlbaum Associates Publishers.