Applied quantitative analysis in education and the social sciences / edited by Yaacov Petscher, Christopher Schatschneider, Donald L. Compton.
Material type:![Text](/opac-tmpl/lib/famfamfam/BK.png)
- 9780415893497
- Petscher, Yaacov M. Extending conditional means modeling
- QA 278.2 .Ap58 2013
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DLSU-D GRADUATE STUDIES Graduate Studies | QA 278.2 .Ap58 2013 (Browse shelf(Opens below)) | Available | 3AEA2014005264 |
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QA 278 .K586 2015 Cluster analysis and data mining : | QA 278 .M315 2017 Multivariate statistical methods : | QA 278 .P289 2015 Modelling and analysis of compositional data / | QA 278.2 .Ap58 2013 Applied quantitative analysis in education and the social sciences / | QA 278.2 .H794 2013 Applied logistic regression. | QA 279.2 .C55 2018 Predictive statistics : | QA 279.4 .G378 2011 Making better decisions : |
Includes bibliographical references and index.
Extending conditional means modeling: an introduction to quantile regression / Yaacov Petscher, Jessica A.R. Logan, and Chengfu Zhou -- Using dominance analysis to estimate predictor importance in multiple regression / Razia Azen -- I am ROC curves (and so can you)! / Christopher Schatschneider -- Multilevel modeling: practical examples to illustrate a special case of SEM / Lee Branum-Martin -- Linear and quadratic growth models for continuous and dichotomous outcomes / Ann A. O'Connell, Jessica A. R. Logan, Jill Pentimonti, and D. Betsy McCoach -- Exploratory and confirmatory factor analysis / Rex Kline -- Factor analysis with categorical indicators: demonstration of item response theory / R.J. de Ayala -- Introduction to structural equation modeling / Richard Lomax -- Latent growth curve modeling using structural equation modeling / Ryan Bowles and Janelle J. Montroy -- Latent class/profile analysis / Karen Samuelsen and Katherine Raczynski -- n-level structural equation modeling / Paras Mehta.
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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