Applied Multiple Regression/Correlation Analysis for Aviation Research
Language: English
Published by Taylor and Francis Ltd, GB, 2025
- Hardcover
- New
Seller: Rarewaves.com USA, London, London, United KingdomRarewaves.com USA
AbeBooks seller since June 11, 2025
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Applied Multiple Regression/Correlation Analysis for Aviation Research describes and illustrates multiple regression/correlation (MRC) analysis in an aviation context, including flight instruction, airport design, airline routes, and aviation human factors research. Structured in four parts, the book first reviews the major concepts of bivariate correlation and regression and then extends the bivariate case to two, four, and k predictors coupled with discussions on statistical inference, underlying assumptions, and regression diagnostics relative to MRC analysis. The book then builds on this foundation by presenting MRC variable selection strategies (simultaneous, hierarchical, and statistical regression), analyzing sets of predictors, and introducing coding strategies for nominal predictors. The book concludes by presenting how MRC can be used to conduct an analysis of covariance (ANCOVA), interactions, mediation analysis, and binary logistic regression.Throughout the presentation, the book provides a balance between procedural knowledge as well as conceptual understanding. Detailed guided examples are presented at the end of each chapter that apply the topics and concepts of the chapter from the perspective of conducting a research study. The analytic strategies demonstrated via these guided examples are clearly explained, enabling readers to understand, conduct, and report results correctly. Pedagogical features associated with each chapter include a set of student learning outcomes and an end-of-chapter package that consists of a summary of the chapter's main topics/concepts, a list of key terms, and review exercises, including multiple-choice items and a research scenario with data for students to analyze.Tailored to the needs of aviation students, Applied Multiple Regression/Correlation Analysis for Aviation Research is the ideal textbook for research-oriented graduate aviation programs such as a thesis-based master's degree or doctoral program that require knowledge of advanced statistical strategies for analyzing research data. …
Seller Inventory # LU-9781032829128
- Title
- Applied Multiple Regression/Correlation Analysis for Aviation Research
- Author
- Michael A. Gallo, Ulreen O. McKinney
- Publisher
- Taylor and Francis Ltd, GB
- Publication year
- 2025
- Condition
- New
- Binding
- Hardback
- Language
- English
- ISBN 10
- 1032829125
- ISBN 13
- 9781032829128
- Item weight
- 1,080 grams
Applied Multiple Regression/Correlation Analysis for Aviation Research describes and illustrates multiple regression/correlation (MRC) analysis in an aviation context, including flight instruction, airport design, airline routes, and aviation human factors research. Structured in four parts, the book first reviews the major concepts of bivariate correlation and regression and then extends the bivariate case to two, four, and k predictors coupled with discussions on statistical inference, underlying assumptions, and regression diagnostics relative to MRC analysis. The book then builds on this foundation by presenting MRC variable selection strategies (simultaneous, hierarchical, and statistical regression), analyzing sets of predictors, and introducing coding strategies for nominal predictors. The book concludes by presenting how MRC can be used to conduct an analysis of covariance (ANCOVA), interactions, mediation analysis, and binary logistic regression.
Throughout the presentation, the book provides a balance between procedural knowledge as well as conceptual understanding. Detailed guided examples are presented at the end of each chapter that apply the topics and concepts of the chapter from the perspective of conducting a research study. The analytic strategies demonstrated via these guided examples are clearly explained, enabling readers to understand, conduct, and report results correctly. Pedagogical features associated with each chapter include a set of student learning outcomes and an end-of-chapter package that consists of a summary of the chapter’s main topics/concepts, a list of key terms, and review exercises, including multiple-choice items and a research scenario with data for students to analyze.
Tailored to the needs of aviation students, Applied Multiple Regression/Correlation Analysis for Aviation Research is the ideal textbook for research-oriented graduate aviation programs such as a thesis-based master’s degree or doctoral program that require knowledge of advanced statistical strategies for analyzing research data.
"Synopsis" may belong to another edition of this title.
About the Author
Michael A. Gallo, Ph.D., is a Professor Emeritus in the College of Aeronautics at Florida Institute of Technology, USA.
Ulreen O. McKinney, Ph.D. is an Associate Professor in the College of Aeronautics at Florida Institute of Technology, USA.
"About the title" may belong to another edition of this title.
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