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Designing Experiments and Analyzing Data A Model Comparison Perspective 3rd Edition by Scott Maxwell, Harold Delaney, Ken Kelley ISBN 1317284550 9781317284550

Name: Designing Experiments and Analyzing Data A Model Comparison Perspective 3rd Edition by Scott Maxwell, Harold Delaney, Ken Kelley ISBN 1317284550 9781317284550
SKU: EB-7014096
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Designing Experiments and Analyzing Data: A Model Comparison Perspective 3rd Edition Scott E. Maxwell Digital Instant Download

Author(s): Scott E. Maxwell, Harold D. Delaney, Ken Kelley

ISBN(s): 9781138892286, 1138892289

Edition: 3

File Details: PDF, 9.45 MB

Year: 2017

Language: English

SKU: EB-7014096 Category: Mathematics Tags: Harold D. Delaney, Ken Kelley, Scott E. Maxwell

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Designing Experiments and Analyzing Data: A Model Comparison Perspective 3rd Edition by Scott E. Maxwell, Harold D. Delaney, Ken Kelley – Ebook PDF Instant Download/Delivery: 1317284550, 978-1317284550
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ISBN 10: 1317284550
ISBN 13: 978-1317284550
Author: Scott E. Maxwell, Harold D. Delaney, Ken Kelley

Designing Experiments and Analyzing Data: A Model Comparison Perspective (3rd edition) offers an integrative conceptual framework for understanding experimental design and data analysis. Maxwell, Delaney, and Kelley first apply fundamental principles to simple experimental designs followed by an application of the same principles to more complicated designs. Their integrative conceptual framework better prepares readers to understand the logic behind a general strategy of data analysis that is appropriate for a wide variety of designs, which allows for the introduction of more complex topics that are generally omitted from other books. Numerous pedagogical features further facilitate understanding: examples of published research demonstrate the applicability of each chapter’s content; flowcharts assist in choosing the most appropriate procedure; end-of-chapter lists of important formulas highlight key ideas and assist readers in locating the initial presentation of equations; useful programming code and tips are provided throughout the book and in associated resources available online, and extensive sets of exercises help develop a deeper understanding of the subject. Detailed solutions for some of the exercises and realistic data sets are included on the website (DesigningExperiments.com). The pedagogical approach used throughout the book enables readers to gain an overview of experimental design, from conceptualization of the research question to analysis of the data. The book and its companion website with web apps, tutorials, and detailed code are ideal for students and researchers seeking the optimal way to design their studies and analyze the resulting data.

Designing Experiments and Analyzing Data: A Model Comparison Perspective 3rd Table of contents:

Part I: Conceptual Bases of Experimental Design and Analysis

The Logic of Experimental Design and Analysis
Drawing Valid Inferences from Experiments

Part II: Model Comparisons for Between-Subjects Designs

Introduction to Model Comparisons: One-Way Between-Subjects Designs
Individual Comparisons of Means
Testing Several Contrasts: The Multiple-Comparisons Problem
Trend Analysis
Two-Way Between-Subjects Factorial Designs
Higher Order Between-Subjects Factorial Designs
Designs with Covariates: ANCOVA and Blocking Extensions
Designs with Random or Nested Factors

Part III: Model Comparisons for Designs Involving Within-Subjects Factors

One-Way Within-Subjects Designs: Univariate Approach
Higher-Order Designs with Within-Subjects Factors: Univariate Approach
One-Way Within-Subjects Designs: Multivariate Approach
Higher Order Designs with Within-Subjects Factors: The Multivariate Approach

Part IV: Mixed-Effects Models

An Introduction to Mixed-Effects Models: Within-Subjects Designs
An Introduction to Mixed-Effect Models: Nested Designs

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