Warner, Rebecca M., <br/><br/>
Applied statistics II :  multivariable and multivariate techniques / 
Rebecca M. Warner, Professor Emerita, University Of New Hampshire. 
 - Third Edition. 
 - California :   SAGE Publications, Inc ,   @2021 
 - xxiii, 682 pages :  illustrations ;  26 cm 
<br/><br/> Revised edition of the author's Applied statistics, c2013. 
<br/><br/>Includes bibliographical references (pages 657-665) and index. 
<br/><br/>Chapter 1: The New Statistics.-- Chapter 2: Advanced Data Screening : Outliners an Missing Values.-- Chapter 3: Statistical Control: What Can Happen When you add a Third Variable.-- Chapter 4: Regression Analysis and Statistical Control.-- Chapter 5: Multiple Regression With Multiple Predictors.-- Chapter 6: Dummy Predictor Variables in Multiple Regression.-- Chapter 7: Moderation: Interaction in Multiple Regression.-- Chapter 8: Analysis of Covariance.-- Chapter 9: Mediation.-- Chapter 10: Discriminant Analysis.-- Chapter 11: Multivariate Analysis of Variance.-- Chapter 12: Exploratory Factor Analysis.-- Chapter 13: Reliability , Validity and Multiple-Item Scales.-- Chapter 14: More about repeated measures.-- Chapter 15: Structural Equation Modeling with Amos: A Brief Introduction.-- Chapter 16: Binary Logistics Regression.-- Chapter 17: Additional Statistical Techniques     
<br/><br/> "Rebecca M. Warner's bestselling Applied Statistics: From Bivariate Through Multivariate Techniques has been split into two volumes for ease of use over a two-course sequence. This new multivariate statistics text, Applied Statistics II: Multivariable and Multivariate Techniques, Third Edition is based on chapters from the second half of original book, but with much additional material. This text now provides a distinctive bridge between earlier courses and advanced topics through extensive discussion of statistical control (adding a third variable), a new chapter on the "new statistics", a new chapter on outliers and missing values, and a final chapter that provides an introduction to structural equation modeling. This text provides a solid introduction to concepts such as statistical control, mediation, moderation, and path modeling necessary to students taking intermediate and advanced statistics courses across the social sciences. Examples are provided in SPSS with datasets available on an accompanying website. A companion study guide reproducing the exercises and examples in R will also be available"-- 
<br/><br/><label>ISBN: </label>9781544398723 
<br/><br/><label>LCCN: </label>2019046881 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Social sciences--Statistical methods.<br/>Psychology--Statistical methods.<br/>Multivariate analysis.<br/>STA340
<br/><br/><label>LC Class. No.: </label>HA31.35  / .W37 2021 
<br/><br/><label>Dewey Class. No.: </label>519.5/35