Applied Multiple Regression/Correlation Analysis for Aviation Research (1)

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Synopsis
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.
Copyright:
2026

Book Details

Book Quality:
Publisher Quality
Book Size:
434 Pages
ISBN-13:
9781040405895
Related ISBNs:
9781032829128, 9781040405864, 9781003506935, 9781032829111
Publisher:
Taylor & Francis
Date of Addition:
Copyrighted By:
Michael A. Gallo and Ulreen O. McKinney. The right of Michael A. Gallo and Ulreen O. McKinney to be identified as authors of this work has been asserted in accordance with sections
Adult content:
No
Language:
English
Has Image Descriptions:
No
Categories:
Nonfiction, Technology, Mathematics and Statistics
Submitted By:
Bookshare Staff
Usage Restrictions:
This is a copyrighted book.

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