To say that complex data analyses are ubiquitous in the education and social sciences might be an understatement. Funding agencies and peer-review journals alike require that researchers use the most appropriate models and methods for explaining phenomena. Univariate and multivariate data structures often require the application of more rigorous methods than basic correlational or analysis of variance models. Additionally, though a vast set of resources may exist on how to run analysis, difficulties may be encountered when explicit direction is not provided as to how one should run a model...
To say that complex data analyses are ubiquitous in the education and social sciences might be an understatement. Funding agencies and peer-review ...
This work addresses advances in quantitative methods such as item response theory, the family of multilevel models (including cross-classified and growth), and mixture modeling.
This work addresses advances in quantitative methods such as item response theory, the family of multilevel models (including cross-classified and gro...