This course prepares students to be users and critical consumers of quantitative research. Students will be trained in various statistical methods in order to conduct rigorous, scientific quantitative research. Students completing the course will be able to: design effective experimental and quasiexperimental studies, manage and use large scale datasets, analyse various types of datasets (e.g., nested data, longitudinal data) with the appropriate modelling techniques, apply advanced statistical methods (e.g., structural equation modelling, multilevel modelling) in their own research, critically review studies that make use of a diverse set of statistical methods, and conduct educational measurement and assessment related studies using techniques such as factor analysis or Rasch analysis or item response theory.
Quantitative Research for the Qualitative Researcher by 
Applied Multivariate Statistics for the Social Sciences by 
Structural Equation Modeling by 
Handbook of Structural Equation Modeling by 
Item Response Theory by 
Handbook of Item Response Theory by 
Multidimensional Item Response Theory by 
Exploratory Factor Analysis by 
Discovering Statistics Using IBM SPSS Statistics by Harrington, D. (2008). Confirmatory factor analysis. Oxford University Press
Vogt, P. W. (2007). Quantitative research methods for professionals. Pearson
Robson, K., & Pevalin, D. (2016). Multilevel modelling in plain language. Sage
Tabachnick, B. G., & Fidell, L. S. (2013). Using multivariate statistics (6th ed.). Pearson.
Reading statistics and research / Schuyler W. Huck.
