1 SOC 681 INTRODUCTION TO LINEAR STRUCTURAL EQUATION MODELS Spring 2010 STONE 215 SRI Laboratory Tu Th 4 30 5 45 PM Professor James G Anderson Stone 353 494 4703 Andersonj purdue edu The course will introduce participants to Structural Equation Models SEMs using AMOS one of the most widely available computer programs for structural equation modeling in social behavioral and economic research SEMs simultaneously model the measurement and conceptual structure of social phenomena and thus combine the strengths of factor analysis path analysis and simultaneous equation models The course will be taught in the Social Research Institute Laboratory Participants will be assisted in constructing estimating and interpreting SEMs based on their own data They will be expected to make an oral presentation based on their research and to prepare a manuscript that may be submitted to a professional journal in their field Topics will include 1 Basics Causality and Causal Models 2 Models with Directly Observed Variables 3 Measurement Models Confirmatory Factor Analysis 4 Structural Equation Models with Latent Variables 5 Model Building Testing Goodness of Fit 6 Multiple Groups Analysis 7 Analysis of Longitudinal Data 8 Latent Growth Curve Analysis Basics Causality and Causal Models 9 Writing about SEMs 10 Estimating and Testing Hypotheses about Means 11 Advanced Methods Example 5 SEM with Latent Variables e3 1 1knowledge knowledge 1 1 e4 1 e5 e6 1 2knowledge 1value 1 value performance 1 e9 1 2value 2performance 1performance 1 e7 1 e8 1satisfaction 1 2satisfaction satisfaction 1 1 e2 e1 2 COURSE DESCRIPTION Throughout the course participants will use data analysis exercises to illustrate the various topics covered in class You will be expected to construct critique and estimate structural equation models using AMOS Exercises will be completed in the SRI lab You will also be expected to complete a term project involving the construction the estimation and testing of a structural equation model involving measurement error and latent variables The project is to be written in article format and you are encouraged to submit it to a journal for possible publication All assignments are due on the date indicated TEXTS Required Anderson J G Introduction to Linear Structural Equation Models Syllabus http web ics purdue edu janders1 Arbuckle J L AMOS 17 0 User s Guide Chicago IL SPSS 2008 Kline R B Principles and Practice of Structural Equation Modeling 2nd Ed New York Guilford Press 2005 Brown T A Confirmatory Factor Analysis for Applied Research New York Guilford Press 2006 Recommended McKnight et al Missing Data New York Guilford Press 2007 Bollen K A and Curran P J 2005 Latent Trajectory Models A Structural Equation Approach Indianapolis IN Wiley Inc 3 GRADING Attendance Class Exercises Research Paper Proposal Data Analysis Preliminary Report Final Report Class Presentation Total 20 60 5 5 5 45 20 100 Points will be deducted for failure to turn in class exercises your preliminary outline data analysis preliminary and final reports on time and to present your research project on the assigned date One point will be deducted for every day the assignment is late You are expected to attend and participate in each class Two points will be deducted for each class that you miss In case of an illness or emergency please notify me before class I will determine whether or not to excuse you from class on that day Assignments are due on the date indicated in the syllabus A point will be deducted for each day that an assignment is late Final grades will be based on the following Points 100 99 98 93 92 90 89 88 87 83 82 80 79 78 77 73 72 70 69 68 67 63 62 60 59 0 Grade A A AB B BC C CD D DF 4 SCHEDULE Jan 12 Introduction to Structural Equation Models Structural Equation Models Chapt 1 Jan 14 Setting up an AMOS Program Exercise 1 Setting up an AMOS program Chapt 1 Jan 19 Data Preparation Data Preparation and Screening Jan 21 26 Causal Models with Directly Observed Variables Exercise 2 Causal Models with Directly Observed Variables Causal Models with Directly Observed Variables Structural Equation Models with Directly Observed Variables Chapt 2 Jan 28 Preliminary Outline of Research Project Due Jan 28 Feb 2 Confirmatory Exploratory Factor Analysis Exercise 3 Confirmatory Exploratory Factor Analysis Measurement Models Measurement Models Identification and Estimation Chapt 3 Feb 4 9 Structural Equation Models with Latent Variables Exercise 4 Structural Equation Models with Latent Variables Structural Equation Modeling with Latent Variables Chapt 4 Feb 11 Model Fit Feb 11 Data Analysis Due Feb 16 Model Building Exercise 5 Model Building Alternative Models Testing Goodness of Fit Testing Model Fit Chapt 5 Feb 18 23 25 Work on Research Project Mar 2 4 Multiple Groups Analysis Exercise 6 Multiple Groups Analysis Multiple Sample Models Chapt 6 Mar 9 Analysis of Longitudinal Data Exercise 7 Analysis of Longitudinal Data Chapt 7 Mar 11 Latent Growth Curve Analysis Chapt 8 Mar 16 18 Spring Break Mar 23 25 Writing about SEMs Chapt 9 Mar 30 Advanced Methods Estimating and Testing Hypotheses about Means Chapt 10 5 Apr 1 Advanced Methods Bootstrapping April 6 8 Work on Research Projects April 13 Preliminary Research Reports April 13 15 April 20 22 April 27 29 April 29 Presentation of Research Projects Final Research Reports Example final report Chapt 11 Due Due 6 Preliminary Proposal 5 points Develop and hand in a preliminary proposal for your research project to include 1 Introduction A Provide a description of the research question that you plan to address B State the specific hypotheses that you plan to test Include a path diagram C Include pertinent references from the literature that provide the theoretical background and support for your hypotheses 2 Methods A Describe the data that you plan to analyze to test your hypotheses B Briefly describe the analytic methods that you plan to use Justify the method that you selected compared to alternative methods C Describe the variables latent constructs you plan to use in your analysis Indicate how each variable will be operationally defined Data Analysis 5 points Hand in a preliminary analysis of the data that you are analyzing for your research project to include 1 2 3 4 A description of how you operationalized each of your latent or theoretical concepts How you coded recoded transformed any of your indicators Descriptive statistics on your indicators variables A discussion of whether