Hi! I'm Chris Schatschneider. I'm a professor in the Department of Psychology at Florida State University, and an Associate Director of the Florida Center for Reading Research. I'm interested in the study of the development of reading and reading-related skills. I am also interested in scientific methodology and statistical modeling. Combining those two interests is what makes my work-life so awesome.
Increasingly, the field of reading research has become interdisciplinary and collaborative, with experts from a number of different areas joining forces to tackle interesting research questions. Most of the publications I have (where I am not first author) represent my methodological contributions to collaborative work. I have been fortunate to be able to collaborate with some of the best people doing reading research. Plus, collaborations are fun!
I also enjoy doing data analysis. I love the idea that I can take a set of observations and try to make sense of them by fitting statistical models. Models that I have the most expertise using are the ones that are most useful in my collaborative research on early reading development: HLM, Item Response theory (or nonlinear factor analysis if you prefer), Receiver Operator Characteristic (ROC) curves, and mediational and moderator analyses.
I also teach the graduate-level ANOVA course in our department every year, as well as an Advanced Research Methods course and a Hierarchical Linear Modeling (HLM) course every other year. I try to teach the students that they need to be the "captains of their own statistical ships" as they engage in their own research.
Increasingly, the field of reading research has become interdisciplinary and collaborative, with experts from a number of different areas joining forces to tackle interesting research questions. Most of the publications I have (where I am not first author) represent my methodological contributions to collaborative work. I have been fortunate to be able to collaborate with some of the best people doing reading research. Plus, collaborations are fun!
I also enjoy doing data analysis. I love the idea that I can take a set of observations and try to make sense of them by fitting statistical models. Models that I have the most expertise using are the ones that are most useful in my collaborative research on early reading development: HLM, Item Response theory (or nonlinear factor analysis if you prefer), Receiver Operator Characteristic (ROC) curves, and mediational and moderator analyses.
I also teach the graduate-level ANOVA course in our department every year, as well as an Advanced Research Methods course and a Hierarchical Linear Modeling (HLM) course every other year. I try to teach the students that they need to be the "captains of their own statistical ships" as they engage in their own research.
