<p><span>Rebecca M. Warnerβs bestselling </span><span>Applied Statistics: From Bivariate Through Multivariate Techniques</span><span> has been split into two volumes for ease of use over a two-course sequence. </span><span>Applied Statistics II: Multivariable and Multivariate Techniques, </span><spa
Applied Statistics II Multivariable and Multivariate Techniques Test Bank
β Scribed by Rebecca M. Warner
- Publisher
- Sage Publishing
- Year
- 2021
- Tongue
- English
- Leaves
- 141
- Edition
- 3
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Table of Contents
Chapter 1: The New Statistics
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Chapter 2: Advanced Data Screening, Outliers, and Missing Values
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Chapter 3: Statistical Control: What Can Happen When You Add a Third Variable?
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54289471-ce42-4bbf-a483-8b0e50e5f320.pdf
Chapter 4: Regression Analysis and Statistical Control
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Chapter 5: Multiple Regression with Multiple Predictors
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Chapter 6: Dummy Predictor Variables in Multiple Regression
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Chapter 7: Moderation: Interaction in Multiple Regression
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Chapter 8: Analysis of Covariance
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Chapter 10: Discriminant Analysis
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Chapter 11: Multivariate Analysis of Variance
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Chapter 12: Exploratory Factor Analysis
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Chapter 13: Reliability, Validity, and Multiple-item Scales
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Essay
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Chapter 14: More about Repeated Measures
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Chapter 15: Structural Equation Modeling with Amos: A Brief Introduction
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Chapter 16: Binary Logistic Regression
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Chapter 17: Additional Statistical Techniques
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π SIMILAR VOLUMES
<strong>Rebecca M. Warner's Applied Statistics: From Bivariate Through Multivariate Techniques, Second Edition</strong>provides a clear introduction to widely used topics in bivariate and multivariate statistics, including multiple regression, discriminant analysis, MANOVA, factor analysis, and bina
This book focuses on when to use the various analytic techniques and how to interpret the resulting output from the most widely used statistical packages (e.g., SAS, SPSS).
This book focuses on when to use the various analytic techniques and how to interpret the resulting output from the most widely used statistical packages (e.g., SAS, SPSS).