MASON PSYC 611 - Lecture 1: Introduction

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PSYC 611, FALL 2010Lecture 1: IntroductionLecture Date: 9/1/2010Contents1 Preliminary Questions 12 Part I: Introduction (20 minutes; 2 minute break) 12.1 Syllabus . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12.2 A Model of Learning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23 Part II: Science, Empiricism, and the Logic of Inquiry 34 Part III: Explaining Variance 31 Preliminary Questions•Have you read all the assigned reading for today (Rosenthal and Rosnow Chapters 1 and 2)?•Did you understand the material?•Do you understand the process of the modules?2 Part I: Introduction (20 minutes; 2 minute break)2.1 SyllabusPlease enter notes here and refer to them later. I will present more information about the modulesduring lab this week. In the meantime, write down notes concerning the syllabus so I can answerthem during lab.Figure 1: The Helix Model of Learning StatisticsFigure 2: Advanced Organizer for Critical Inquiry4 Part III: Explaining VariancePrediction & Science•Goal of science: to increase understanding, decrease uncertainty–Prediction & understanding•Scientists use models to make predictions–v = v0 + at–What are some models in your field?•Prediction & “explaining variance”Why do these kids vary?Urbanicity?Language?Gender?Our model:gendernurschllangurbanmath +++=Variance•The degree to which scores differ from each other•Estimating variance•Variance = deviation from an ex pect at ion ( )221ˆ−−=∑nXXσWhy do these kids vary?Expectationexplaining varianceAggressive behaviorNoneA lot YControlNon-aggrAggressexplaining varianceAggressive behaviorNoneA lot YControlNon-aggrAggress YA YN YCexplaining variance: between & within groupsAggressive behaviorNoneA lot YControlNon-aggrAggress YA YN


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MASON PSYC 611 - Lecture 1: Introduction

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