CONTENTS
| Chapter 1: SCIENTIFIC INFERENCE | (1–29) |
| 1.1 EXPERIMENTAL PYRAMID | (2–8) |
| 1. Statistical Inference 2. Experimental Design 3. Measurement 4. Behavior 5. Phenomena 6. Conceptual Framework 7. The Cap on the Pyramid 8. Experimental Pyramid | |
| 1.2 VALIDITY | (8–16) |
| 1. Process Validity and Outcome Validity 2. Process–Outcome Discordance 3. Confounding 4. Measurement Validity 5. Conceptual Validity | |
| 1.3 VARIABILITY | (16–20) |
| 1. Individual Differences 2. Extraneous Variables 3. Response Measure 4. Variability as Substantive Phenomenon | |
| 1.4 SAMPLES AND GENERALITY | (20–24) |
| 1. Subject Samples 2. Organism Samples 3. Stimulus Samples 4. Task–Behavior Samples | |
| 1.5 MULTIPLE DETERMINATION | (25–28) |
| 1. Regression Analysis 2. Factorial Design 3. Multiple Determination 4. Toward Unified Theory | |
| Chapter 2: STATISTICAL INFERENCE | (30–57) |
| 2.1 SAMPLE AND POPULATION | (31–33) |
| 1. Random Sample 2. Sample mean as Interval of Uncertainty | |
| 2.2 CONFIDENCE INTERVAL | (33–41) |
| 0. Formulas for Confidence Interval 1. Mean, Variance, Standard Deviation 2. Sampling Distribution 3. Sampling Distribution of the Mean 4. Law of Sample Size 5. Confidence Intervals: Normal Distribution 6. Central Limit Theorem 7. Confidence Intervals: Nonnormal Distribution | |
| 2.3 STATISTICAL SIGNIFICANCE TEST | (41–47) |
| 1. Logic of Significance Test 2. Logic of Null Hypothesis 3. Two Sampling Distributions 4.2×2 Decision Table 5. α–β Tradeoff Dilemma 6. Do Not Accept Ho 7. Reduce Variability! | |
| 2.4 BEFORE AND BEYOND SIGNIFICANCE TESTS | (47–53) |
| 1. Size and Importance of Effects 2. Individual Differences 3. Misunderstanding p Values 4. Power 5. Experimental Design: Validity 6. Principle of Replication | |
| NOTES | 53 |
| EXERCISES | 54 |
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