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 and interpret results.
The mission of this book is to expose the reader to advanced
quantitative methods as it pertains to individual level analysis,
multilevel analysis, item-level analysis, and covariance structure
analysis. Each chapter is self-contained and follows a common
format so that readers can run the analysis and correctly interpret
the output for reporting.
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