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.Charlotte, NC: Information Age Publishing. ... National Center for Education Statistics. (2002). Usera#39;s manual for the ECLSaK first grade publica use data files and electronic code book: NCES 2002a135. Washington, DC: U.S. Department of Education. National Longitudinal Surveys. ... Findings from the early childhood longitudinal study, kindergarten class of1998a99: Fall 1998 ( NCES 2000a070).
|Title||:||Applied Quantitative Analysis in Education and the Social Sciences|
|Author||:||Yaacov Petscher, Christopher Schatschneider, Donald L. Compton|
|Publisher||:||Routledge - 2013-03-05|