MULTIPLE REGRESSION AND BEYOND: AN
INTRODUCTION TO MULTIPLE
REGRESSION AND STRUCTURAL
EQUATION MODELING BY TIMOTHY Z.
KEITH
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MULTIPLE REGRESSION AND BEYOND: AN INTRODUCTION TO MULTIPLE REGRESSION AND STRUCTURAL EQUATION MODELING BY TIMOTHY Z. KEITH
MULTIPLE REGRESSION AND BEYOND: AN
INTRODUCTION TO MULTIPLE REGRESSION AND
STRUCTURAL EQUATION MODELING BY TIMOTHY Z.
KEITH PDF
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MULTIPLE REGRESSION AND BEYOND: AN
INTRODUCTION TO MULTIPLE REGRESSION AND
STRUCTURAL EQUATION MODELING BY TIMOTHY Z.
KEITH PDF
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MULTIPLE REGRESSION AND BEYOND: AN
INTRODUCTION TO MULTIPLE REGRESSION AND
STRUCTURAL EQUATION MODELING BY TIMOTHY Z.
KEITH PDF
Multiple Regression and Beyond offers a conceptually oriented introduction to multiple regression (MR) analysis and structural equation modeling (SEM), along with analyses that flow naturally from those methods. By focusing on the concepts and purposes of MR and related methods, rather than the derivation and calculation of formulae, this book introduces material to students more clearly, and in a less threatening way. In addition to illuminating content necessary for coursework, the accessibility of this approach means students are more likely to be able to conduct research using MR or SEM--and more likely to use the methods wisely.
Covers both MR and SEM, while explaining their relevance to one another
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Also includes path analysis, confirmatory factor analysis, and latent growth modeling
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Figures and tables throughout provide examples and illustrate key concepts and techniques
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For additional resources, please visit: http://tzkeith.com/
Sales Rank: #74235 in Books
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Published on: 2014-12-19
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Released on: 2015-02-06
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Original language: English
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Number of items: 1
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Dimensions: 10.00" h x 1.37" w x 7.00" l, .0 pounds
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Binding: Paperback
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604 pages
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About the Author
Timothy Keith is Professor and Program Director of School Psychology at University of Texas, Austin.
Most helpful customer reviews
0 of 0 people found the following review helpful.
This book is a great resource for doing regression and SEM analyses By Danika Maddocks
understand the conceptual underpinnings of the various statistical analyses as well as the more technical steps to take. The examples from different areas of psychology are engaging and accessible and the writing has a subtle sense of humor that makes this book more enjoyable than most statistics textbooks. Overall, I highly recommend this textbook!
0 of 0 people found the following review helpful. Excellent book!
By Jackie C.
This is my favorite statistics book, extremely well written and clear! Interesting examples from different fields are incorporated throughout the text which were helpful in improving my comprehension through application of the material. I own the previous edition of this book as well and the new chapters are useful for both new and experienced SEM users. I reference this book often so it’s been a great investment! I recommend this book to others frequently.
0 of 0 people found the following review helpful. The best statistics textbook that I've read
By H. Lee
The best statistics textbook that I've read. Well written and well organised. The multi-year teaching experiences of the author shine in this book. Two thumbs up.
MULTIPLE REGRESSION AND BEYOND: AN
INTRODUCTION TO MULTIPLE REGRESSION AND
STRUCTURAL EQUATION MODELING BY TIMOTHY Z.
KEITH PDF
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About the Author
Timothy Keith is Professor and Program Director of School Psychology at University of Texas, Austin.
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