AQMSLR

Companion website and practice data sets for:

Advancing Quantitative Methods in Second Language Research (Plonsky, 2015)

Chapter 3: Statistical power, p values, descriptive statistics, and effect sizes: A “back-to-basics” approach to advancing quantitative methods in L2 research (Plonsky)
– Practice data set here

Chapter 4: A practical guide to bootstrapping descriptive statistics, correlations, t-tests, and ANOVAs (LaFlair, Egbert, & Plonsky)
– Practice data set (Excel; CSV)

Chapter 6: Meta-analyzing second language research (Plonsky & Oswald)
– Practice data set here (from Lee, Jang, & Plonsky, 2015)
Effect size weighting templates

Chapter 7: Multiple regression (Jeon)
– Practice data set here

 Chapter 8: Mixed effects modeling and longitudinal analysis (Cunnings & Finlayson)
– Practice data set here

Chapter 9: Exploratory factor analysis and principal components analysis (Loewen & Gonulal)
– Practice data set here

Chapter 10: Structural equation modeling in L2 research (Rob Schoonen)
– Practice data set here

 Chapter 11: Cluster analysis (Staples & Biber)
– Practice data set here

 Chapter 12: Rasch analysis (Knoch & McNamara)
– Practice data set here

 Chapter 13: Discriminant analysis (Norris)
– Practice data set here
– Notes: The DISCRIM data set was provided by Dr. John Davis. It is based on a portion of data that he collected and reported in Davis (2012). Please note that this data set only represents a selected sample of the full data set reported and analyzed by Davis (2012); any patterns in this example data set should not be compared with the actual findings in that study. They are provided here only for the purpose of illustrating the Discriminant Analysis technique.

Davis, J. (2012). The usefulness of accreditation-mandated outcomes assessment in college foreign language education. Honolulu: Unpublished doctoral dissertation.

Chapter 14: Bayesian informative hypothesis testing (Mackey & Ross)
– Practice data set here

Advertisements