Introduction to Behavioral Research Methods: Pearson New International Edition, 6/E

Introduction to Behavioral Research Methods

Last edition Elsevier Rigorous, yet readable. The author presents the material with sufficient elaboration, explanation, and examples that not only interest the student, but make it understandable. Introduction to Behavioral Research Methods incorporates the four basic approaches to behavioral research (descriptive research, correlational research, experimental research, and quasi-experimental research), and shows students how to conceptualize questions, measure variables, design studies, and analyze data. Chapters on research ethics and scientific writing (including the most recent version of APA style) round out the book.

Last Edition

ISBN 13: 9781292020273

Imprint: Pearson Education

Language: English

Authors: Mark R. Leary

Pub Date: 07/2013

Pages: 400

Illus: Illustrated

Weight: 860.00 grams

Size: h 216 x 278 mm

Product Type: Softcover

List Price
grn 2105
$ 71,36
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  • • Throughout each chapter, boxes on "Developing Your Research Skills" and "Behavioral Research Case Study" provide practical examples and pique student interest. Teaching & Learning Experience Personalize Learning - MySearchLab delivers proven results in helping students succeed, provides engaging experiences that personalize learning, and comes from a trusted partner with educational expertise and a deep commitment to helping students and instructors achieve their goals.
  • • Improve Critical Thinking - New up-to-date Behavioral Research Case Studies help students apply research to practice. Engage Students - The text is designed to make research methods understandable, useful, and interesting for students. Explore Research - Real research, tidbits about the lives of famous researchers, and intriguing controversies that have arisen in behavioral science are included. A lab manual in MySearchLab helps engage students in the research process. Support Instructors - MyTest, PowerPoints, and an instructor's manual offer additional support for instructors.
  • Mark Leary is Garonzik Professor of Psychology and Neuroscience at Duke University. ... He was founding editor of Self and Identity, editor of Personality and Social Psychology Review, and served as President of the Society for Personality and Social Psychology.
  • 1.) BRIEF
  • 2.) COMPREHENSIVE
  • BRIEF TABLE OF CONTENTS:
  • Chapter 1: Research in the Behavioral Sciences
  • Chapter 2: Behavioral Variability and Research
  • Chapter 3: The Measurement of Behavior
  • Chapter 4: Approaches to Psychological Measurement
  • Chapter 5: Selecting Research Participants
  • Chapter 6: Descriptive Research
  • Chapter 7: Correlational Research
  • Chapter 8: Advanced Correlational Strategies
  • Chapter 9: Basic Issues in Experimental Research
  • Chapter 10: Experimental Design
  • Chapter 11: Analyzing Experimental Data
  • Chapter 12: Analyzing Complex Designs
  • Chapter 13: Quasi-Experimental Designs
  • Chapter 14: Single-Case Research
  • Chapter 15: Ethical Issues in Behavioral Research
  • Chapter 16: Scientific Writing
  • COMPREHENSIVE TABLE OF CONTENTS:
  • Chapter 1: Research in the Behavioral Sciences
  • The Beginnings of Behavioral Research Goals of Behavioral Research Behavioral Science and Common Sense The Value of Research to the Student The Scientific Approach Science and Pseudoscience The Scientist's Two Jobs: Detecting and Explaining Phenomena Research Hypotheses Conceptual and Operational Definitions Proof, Disproof, and Scientific Progress Strategies of Behavioral Research Domains of Behavioral Science Behavioral Research on Human and Nonhuman Animals A Preview Summary
  • Chapter 2: Behavioral Variability and Research
  • Variability and the Research Process Variance: An Index of Variability Systematic and Error Variance Assessing the Strength of Relationships Effect Size: Assessing the Strength of Relationships Meta-Analysis: Systematic Variance across Studies The Quest for Systematic Variance Summary
  • Chapter 3: The Measurement of Behavior
  • Types of Measures Scales of Measurement Assessing the Reliability of a Measure Assessing the Validity of a Measure Fairness and Bias in Measurement Summary
  • Chapter 4: Approaches to Psychological Measurement
  • Observational Approaches Physiological and Neuroscience Approaches Self-Report Approaches: Questionnaires and Interviews Archival Data Content Analysis Summary
  • Chapter 5: Selecting Research Participants
  • A Common Misconception Probability Samples Nonprobability Samples How Many Participants? Summary
  • Chapter 6: Descriptive Research
  • Types of Descriptive Research Describing and Presenting Data Frequency Distributions Measures of Central Tendency Measures of Variability Tendency The z-Score Summary
  • Chapter 7: Correlational Research
  • The Correlation Coefficient A Graphic Representation of Correlations The Coefficient of Determination Statistical Significance of r Factors That Distort Correlation Coefficients Correlation and Causality Partial Correlation Other Indices of Correlation Summary
  • Chapter 8: Advanced Correlational Strategies
  • Predicting Behavior: Regression Strategies Assessing Directionality: Cross-Lagged and Structural Equations Analysis Analyzing Nested Data: Multilevel Modeling Uncovering Underlying Dimensions: Factor Analysis Summary
  • Chapter 9: Basic Issues in Experimental Research
  • Manipulating the Independent Variable Assigning Participants to Conditions Experimental Control Eliminating Confounds Error Variance Experimental Control and Generalizability: The Experimenter's Dilemma Web-Based Experimental Research Summary
  • Chapter 10: Experimental Design
  • One-Way Designs Factorial Designs Main Effects and Interactions Combining Independent and Participant Variables Summary
  • Chapter 11: Analyzing Experimental Data
  • An Intuitive Approach to Analysis Hypothesis Testing Analysis of Two-Group Experiments: The t-Test Analyses of Matched-Subjects and Within-Subjects Designs Computer Analyses Summary
  • Chapter 12: Analyzing Complex Designs
  • The Problem: Conducting Multiple Tests Inflates Type I Error The Rationale behind ANOVA How ANOVA Works Follow-Up Tests Between-Subjects and Within-Subjects ANOVAs Multivariate Analysis of Variance Experimental and Nonexperimental Uses of Inferential Statistics Summary
  • Chapter 13: Quasi-Experimental Designs
  • Pretest-Posttest Designs Time Series Designs Comparative Time Series Design Longitudinal Designs Cross-sequential Cohort Designs Program Evaluation Evaluating Quasi-Experimental Designs Summary
  • Chapter 14: Single-Case Research
  • Single-Case Experimental Designs Case Study Research Summary
  • Chapter 15: Ethical Issues in Behavioral Research
  • Approaches to Ethical Decisions Basic Ethical Guidelines The Principle of Informed Consent Invasion of Privacy Coercion to Participate Physical and Mental Stress Deception Confidentiality Debriefing Common Courtesy Vulnerable Populations Ethical Principles in Research with Nonhuman Animals Scientific Misconduct Suppression of Scientific Inquiry and Research Findings A Final Note Summary
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