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Description:
Cover -- Half Title -- Title -- Copyright -- Dedication -- Brief Contents -- Contents -- Preface -- Acknowledgments -- Chapter 1 Introduction -- 1.1 Definitions -- 1.1.1 Engineering Psychology -- 1.1.2 Human Performance -- 1.2 Research Methods -- 1.3 A Model of Human Information Processing -- 1.4 Pedagogy of the Book -- Key Terms -- Bibliography -- Chapter 2 Research Methods -- 2.1 Overview of the Engineering Psychology Research Process -- 2.2 Experimental Design -- 2.2.1 TwoCondition Designs -- 2.2.2 Details and Qualifiers of the Effect: More Than Two Conditions and Factorial Designs -- 2.2.3 The Continuous Independent Variable -- 2.3 Performance Measurement -- 2.4 Participant Selection -- 2.5 Statistical Analysis -- 2.5.1 Problem 1: The AllorNone Interpretation of .05 -- 2.5.2 Problem 2: NHST Is Biased Toward the Status Quo -- 2.5.3 Problem 3: Conventional NHST Practice Considers Values in Decision Making Bluntly and Inflexibly -- 2.5.4 Problem 4: NHST Does Not Consider the Prior Probabilities of the Null and Alternative Hypotheses in Decision Making -- 2.5.4.1 What Is to Be Done? -- 2.5.4.2 Design and Analysis -- 2.5.4.3 Presentation of Experimental Results -- 2.6 Computational Modeling -- 2.6.1 Analytic Equations -- 2.6.2 Discrete Event Simulation Models -- 2.7 Conclusion -- Key Terms -- Bibliography -- Chapter 3 Signal Detection and Absolute Judgment -- 3.1 Overview -- 3.2 Signal Detection Theory -- 3.2.1 The Signal Detection Paradigm -- 3.2.2 Setting the Response Criterion: Optimality in SDT -- 3.2.2.1 Signal Probability -- 3.2.2.2 Payoffs -- 3.2.2.3 Human Performance in Setting Beta -- 3.2.3 Sensitivity -- 3.3 The ROC Curve -- 3.3.1 Theoretical Representation -- 3.3.2 Empirical Data -- 3.4 Applications of Signal Detection Theory -- 3.4.1 Medical Diagnosis -- 3.4.2 Recognition Memory and Eyewitness Testimony.