Introduction to Behavioral Research Methods
ISBN: 9780205544141 | 0205544142
Edition: 5thFormat: Hardcover
Publisher: Allyn & Bacon
Pub. Date: 1/1/2008
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Taking into consideration the four basic approaches to behavioral research (descriptive research, correlational research, experimental research, and quasi-experimental research), Introduction to Behavioral Research Methods 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. Throughout each chapter, boxes on "Developing Your Research Skills" and "Behavioral Research Case Study" pr... MORE
| Preface | |
| Research in the Behavioral Sciences | |
| The Beginnings of Behavioral Research | |
| Goals of Behavioral Research | |
| The Value of Research to the Student | |
| The Scientific Approach | |
| Behavioral Science and Common Sense | |
| Philosophy of Science | |
| The Role of Theory in Science | |
| Research Hypotheses | |
| A Priori Predictions and Post Hoc Explanations | |
| Conceptual and Operational Definitions | |
| Proof and Disproof in Science | |
| Strategies of Behavioral Research | |
| Domains of Behavioral Science | |
| A Preview | |
| Behavioral Variability and Research | |
| Variability and the Research Process | |
| Variance: An Index of Variability | |
| Systematic and Error Variance | |
| Assessing the Strength of Relationships | |
| Meta-Analysis: Systematic Variance across Studies | |
| The Measurement of Behavior | |
| Types of Measures | |
| Scales of Measurement | |
| Estimating the Reliability of a Measure | |
| Estimating the Validity of a Measure | |
| Fairness and Bias in Measurement | |
| Approaches to Psychological Measurement | |
| Observational Methods | |
| Physiological Measures | |
| Self-Report: Questionnaires and Interviews | |
| Archival Data | |
| Content Analysis | |
| Descriptive Research | |
| Types of Descriptive Research | |
| Sampling | |
| Describing and Presenting Data | |
| 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 Correlation Coefficients | |
| Advanced Correlational Strategies | |
| Predicting Behavior: Regression Strategies | |
| Assessing Directionality: Cross-Lagged and Structural Equations Analysis | |
| Uncovering Underlying Dimensions: Factor Analysis | |
| Basic Issues in Experimental Research | |
| Manipulating the Independent Variable | |
| Assignment of Participants to Conditions | |
| Experimental Control | |
| Eliminating Confounds | |
| Error Variance | |
| Experimental Control and Generalizability: The Experimenter's Dilemma | |
| Experimental Design | |
| One-Way Designs | |
| Factorial Designs | |
| Main Effects and Interactions | |
| Combining Independent and Subject Variables | |
| 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 | |
| Analyzing Complex Designs | |
| The Problem: Multiple Tests Inflate 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 | |
| Computer Analyses | |
| Quasi-Experimental Designs | |
| Pretest-Posttest Designs | |
| Time Series Designs | |
| Longitudinal Designs | |
| Program Evaluation | |
| Evaluating Quasi-Experimental | |
| Table of Contents provided by Publisher. All Rights Reserved. |
