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Statistical Concepts A Second Course 5th Edition by Debbie Hahs Vaughn ISBN 0367204096 978-0367204099

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Statistical Concepts A Second Course 5th Edition Debbie L. Hahs-Vaughn Digital Instant Download

Author(s): Debbie L. Hahs-Vaughn, Richard G. Lomax
ISBN(s): 9780367204044, 0367204045
Edition: 5
File Details: PDF, 32.11 MB
Year: 2020
Language: english
SKU: EB-11127930 Category: Tags: ,

Statistical Concepts A Second Course 5th Edition by Debbie L. Hahs-Vaughn – Ebook PDF Instant Download/Delivery:  0367204096, 978-0367204099
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Product details: 

ISBN 10:  0367204096 

ISBN 13: 978-0367204099

Author: Debbie L. Hahs-Vaughn

Statistical Concepts―A Second Course presents the last 10 chapters from An Introduction to Statistical Concepts, Fourth Edition. Designed for second and upper-level statistics courses, this book highlights how statistics work and how best to utilize them to aid students in the analysis of their own data and the interpretation of research results.

In this new edition, Hahs-Vaughn and Lomax discuss sensitivity, specificity, false positive and false negative errors. Coverage of effect sizes has been expanded upon and more organizational features (to summarize key concepts) have been included. A final chapter on mediation and moderation has been added for a more complete presentation of regression models. In addition to instructions and screen shots for using SPSS, new to this edition is annotated script for using R.

This book acts as a clear and accessible instructional tool to help readers fully understand statistical concepts and how to apply them to data. It is an invaluable resource for students undertaking a course in statistics in any number of social science and behavioral science disciplines.

Table of contents: 

  1. ONE-FACTOR ANALYSIS OF VARIANCE – FIXED-EFFECTS MODEL

  2. MULTIPLE COMPARISON PROCEDURES

  3. FACTORIAL ANALYSIS OF VARIANCE – FIXED-EFFECTS MODEL

  4. INTRODUCTION TO ANALYSIS OF COVARIANCE: THE ONE-FACTOR FIXED-EFFECTS MODEL WITH A SINGLE COVARIATE

  5. RANDOM- AND MIXED-EFFECTS ANALYSIS OF VARIANCE MODELS

  6. HIERARCHICAL AND RANDOMIZED BLOCK ANALYSIS OF VARIANCE MODELS

  7. SIMPLE LINEAR REGRESSION

  8. MULTIPLE LINEAR REGRESSION

  9. LOGISTIC REGRESSION

  10. MEDIATION AND MODERATION

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