Description
Quantitative Research in Education: A Primer, Second Edition is a brief and practical text designed to allay anxiety about quantitative research. Award-winning authors Wayne K. Hoy and Curt M. Adams first introduce readers to the nature of research and science, and then present the meaning of concepts and research problems as they dispel notions that quantitative research is too difficult, too theoretical, and not practical. Rich with concrete examples and illustrations, the Primer emphasizes conceptual understanding and the practical utility of quantitative methods while teaching strategies and techniques for developing original research hypotheses. NEW TO THIS EDITION A new chapter devoted to the practical applications of quantitative research uses the concepts of collective trust, organizational climate, and improvement science to illustrate the utility of quantitative research for practice. New hypotheses found in research studies are available for readers to analyze and diagram. A new section on self-determination theory has been added to demonstrate the relationship between theory and practice. A new section on self-regulatory climate gives readers an opportunity to explore an exciting new area they are likely to encounter in practice. A conceptual description of Hierarchical Linear Modeling (HLM) has been added to help readers understand statistical data organized at more than one level. Wayne K. Hoy received his B. S. from Lock Haven State College in 1959 and then taught mathematics at Cheltenham High School in Pennsylvania. He received his D. Ed. from The Pennsylvania State University in 1965 and began his professorial career at Oklahoma State University. He moved to Rutgers University in 1968, where he was a distinguished professor, department chair, and Associate Dean for Academic Affairs. In 1994, he joined the faculty at The Ohio State University as an endowed professor, The Novice G. Fawcett Chair in Educational Administration. In January of 2013, he retired and is now a professor emeritus at The Ohio State University. In 1973, he received the Lindback Foundation Award for Distinguished Teaching from Rutgers University; in 1987, he received the Alumni Award for Professional Research from the Rutgers University Graduate School of Education; in 1991, he received the Excellence in Education Award from The Pennsylvania State University; in 1992, he received the Meritorious Research Award from the Eastern Educational Research Association; in 1996, he became an alumni fellow of The Pennsylvania State University; in 2001 he received the Research Award from the Ohio State College of Education. He is past secretary-treasurer of the National Conference of Professors of Educational Administration (NCPEA) and past president of the University Council for Educational Administration (UCEA). In November 2003, he received the Roald Campbell Lifetime Achievement Award in Educational Administration and in 2009 he was elected a Fellow of the American Educational Research Association. He is the author, coauthor, or coeditor of 24 books in the fields of research and theory, educational administration, decision making, leadership, and instructional supervision. Three of his recent books are Instructional Leadership: A Research-based Guide to Learning in Schools (2013), with his wife Anita Woolfolk Hoy; Educational Administration: Theory, Research and Practice (2013), with Cecil Miskel; and Improving Instruction Through Supervision, Evaluation, and Professional Development (2014), with Michael DiPaola. Chapter 1: The Nature of Research and Science Ways of Knowing Objectivity The Nature of Science The Scientific Approach Theory: A Scientific Concept Components of Theory The Nature of Scientific Research Types of Quantitative Research Chapter 2: Concepts, Variables, and Research Problems Concepts Variables Operationalizing Concepts Research Problems Chapter 3: Conceptual Foundations of Statistics Measures of Central Tendencies Measures of Variability Normal Distribution Populations and Samples Statistical Tests Chapter 4: Analyzing the Structure and Substance of Hypotheses Hypotheses Kinds of Hypotheses Imposter and Misconceived Hypotheses Finding Hypotheses in Research Studies Analyzing and Diagramming Hypotheses The Invisible Condition: “Other Things Being Equal” Chapter 5: Generating Hypotheses Ideas for New Hypotheses Observing, Conceptualizing, and Hypothesizing Searching for Theoretical Underpinnings More Theory: More Hypotheses Chapter 6: Practical Applications Collective Trust Organizational Climate Guidelines for Improvement
