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Applied Quantitative Analysis in Education and the Social Sciences

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Average Latent Class Probabilities
Basic Latent Growth Curve Model
BLRT
Category=GPS
Category=JHB
Category=JN
Category=JNA
Category=JNM
confi
Data Set
dence
dominance analysis
educational measurement methods
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
equation
factor
factor analysis techniques
growth curve modeling
intervals
IRT Model
latent
Latent Class Analysis
Latent Difference Score
Latent Growth Curve
Latent Growth Curve Model
Latent Variable
Level-2 Random Intercepts
Linear Latent Growth Curve Model
LISREL Output
LMR Test
Measurement Error Variances
modeling
Multi-sample SEM
Multilevel SEM
Multiple Quantile Regression
Oral Reading Fl Uency Scores
Orf
quantile regression
quantitative analysis for teacher training
Random Intercepts Model
rmatory
Roc Curve
ROC curve analysis
SEM
SEM Software
Slope Factor
structural
variable

Product details

  • ISBN 9780415893497
  • Weight: 657g
  • Dimensions: 178 x 254mm
  • Publication Date: 04 Mar 2013
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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Description

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.

About

Yaacov Petscher is Director of Research at the Florida Center for Reading Research, US.

Christopher Schatschneider is Associate Director of the Florida Center for Reading Research and Professor of Psychology at Florida State University, US.

Donald L. Compton is Professor of Special Education and John F. Kennedy Center Investigator at Vanderbilt University, US.