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| 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. |
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