AQMSLR

Companion website and practice data sets for:

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

Practice data sets for chapters 3, 4, 6, 7, 8, 9, 10, 11, 12, 13, 14 can be found here.

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

Chapter 4: A practical guide to bootstrapping descriptive statistics, correlations, t-tests, and ANOVAs (LaFlair, Egbert, & Plonsky)

Chapter 6: Meta-analyzing second language research (Plonsky & Oswald)

Chapter 7: Multiple regression (Jeon)

Chapter 8: Mixed effects modeling and longitudinal analysis (Cunnings & Finlayson)

Chapter 9: Exploratory factor analysis and principal components analysis (Loewen & Gonulal)

Chapter 10: Structural equation modeling in L2 research (Rob Schoonen)

 Chapter 11: Cluster analysis (Staples & Biber)

 Chapter 12: Rasch analysis (Knoch & McNamara)

 Chapter 13: Discriminant analysis (Norris)
– 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 Honolulu: Unpublished doctoral dissertation.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)

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