Richard K. Wagner

Christopher Schatschneider

Caroline Phythian-Sence

What cognitive processes and skills do children draw on to make meaning from text? How are these capacities consolidated over the course of development? What puts some learners at risk for comprehension difficulties? This authoritative volume presents state-of-the-science research on the behavioral and biological components of successful reading comprehension. Uniquely integrative, the book covers everything from decoding, fluency, and vocabulary knowledge to embodiment theory, eye movements, gene–environment interactions, and neurobiology. The contributors are prominent investigators who describe their methods and findings in depth and identify important implications for the classroom.

The Behavioral and Biological Foundations of Reading Comprehension

Beyond Decoding

Donald L. Compton

Yaacov M. Petscher

The mission of this book is to address advances in quantitative methods that are not covered in other texts, such as item response theory, the family of multilevel models (including cross-classified and growth), and mixture modeling.

Applied Quantitative Analysis in Education and the Social Sciences

Yaacov Petscher

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.

Christopher Schatschneider

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