I created the following videos for two purposes: (1) as resources for my quantitative research methods courses, and (2) as supplemental resources to accompany my book co-authored with Dr. Ken Elpus, Design and Analysis for Quantitative Research in Music Education. The videos are demonstrations of a few basic data management techniques as well as some of the common approaches to data analysis that music education scholars encounter in the literature. All of the videos feature implementations using SPSS. A more recent version of SPSS has come out since the creation of the videos, however, I believe all of the steps to conduct the analyses are virtually the same. The data used in the demonstrations are mostly datasets available as part of the online supplemental material for our book.
PS – although I use R for my own research, I have not yet tried to implement R in a class with music education graduate students.
Introducing the SPSS data editor and entering data
The explore routine in SPSS
Selecting cases and using the split-file function in SPSS
Recoding variables in SPSS
Computing new variables in SPSS
Descriptive analyses and syntax files in SPSS
Bivariate correlation in SPSS
Independent and dependent samples t-tests in SPSS
Non-parametric tests for group comparisons with ordinal or nominal data in SPSS
Oneway ANOVA and post hoc tests in SPSS
ANCOVA in SPSS
Repeated measures ANOVA in SPSS
Factorial ANOVA and interaction effects in SPSS
Simple linear regression in SPSS
Multiple linear regression in SPSS