11. Accommodation for Disability:Attachment I1. Rationale for Setting Goals and Objectives:1COLLEGE OF EDUCATIONDEPARTMENTAL COURSE SYLLABUS1. Course Prefix and Number: EDF 74862. Course Title: Application of Structural Equation Modeling inEducation 3. Course Prerequisites: course in multiple regression 4. Course Description:Application of structural equation modeling in educational research, including path models, confirmatory factor analysis, structural modeling with latent variables, and latent growth curve models.5. Goals and Objectives:The primary purpose of this course is to help students gain an understanding of the logic, concepts, methods, applications, and limitations of structural equation modeling. We will address basic educational applications of structural equation modeling include path models, confirmatory factor analysis, and structural models with latent variables. We will also consider more advanced educational applications, such as latent growth curve models, multi-group models, higher order factor analysis, multitrait-multimethod models, and models with interactions among latent variables. The course emphasis is on the application of these procedures in the context of research in education. Computer applications of the procedures will be integrated into the course.As part of this course, you will read articles and complete activities that connect with the ideals of Collaboration, Academic Excellence, Research, and Ethics/Diversity (CARE) which are the key tenets in the Conceptual Framework of the College of Education (for more information on the Conceptual Framework, visit: www.coedu.usf.edu/main/qualityassurance/ncate_visit_info_materials.html).The successful completion of the course requirements is expected to result in increased ability to (a) intelligently read and evaluate research literature, (b) recognize the strengths and limitations ofstatistical analysis in the conduct of disciplined inquiry, (c) design research studies requiring the use of structural equation modeling and (d) communicate with peers and other professionals on research issues. More specifically, students will be able to... 1. Recognize research scenarios that are amenable to SEM 2. Translate research questions into path models 3. Specify a mathematical model based on a path diagram a) in matrix form (LISREL notation)b) in equation form (EQS, CALIS notation) 4. Screen data for the purpose of assessing the tenability of assumptions2 5. Make decisions regarding estimation based on the form of the data 6. Prepare data for the structural equation modeling analysis 7. Write the computer code necessary to run a structural equation modeling analysis 8. Recognize and make decisions regarding identification problems 9. Recognize and make decisions regarding improper solutions 10. Evaluate the overall fit of the model 11. Evaluate fit in the components of the model 12. If appropriate, compare the fit of competing models 13. If appropriate, modify the model to improve fit 14. Summarize and communicate the results of the analysis6. Content Outline:Orientation to Course, Introduction to SEM, Path ModelsModel Specification, Equation notationModel Specification, LISREL notationImplied Covariance Matrices, Identification, and Equivalent ModelsModel Estimation and Power Model Fit and Interpretation IssuesNon-Normality and Interpretation IssuesLatent Growth Models7. Evaluation of Student Outcomes:Grades will be based on 4 projects. A brief description of the projects and the rubrics used for grading are provided below. Project 1 (20%)Students will complete path analyses based on data provided by the instructor. The student will specify the model(s), estimate the model(s) using appropriate software, evaluate fit, prepare path diagrams containing the unstandardized and standardized solutions, will estimate specified total, direct, and indirect effects, and will interpret and discuss the findings.____ Correct specification of model(s)____ Accurate program syntax____ Acceptable evaluation of fit____ Accurate path diagram – unstandardized____ Accurate path diagram – standardized3____ Accurate estimate of total, direct, and indirect effectsProject 2 (20%)Students will complete confirmatory factor analyses based on data provided by the instructor. The student will specify the model(s), estimate the model(s) using appropriate software, evaluate fit, prepare path diagrams containing the unstandardized and standardized solutions, and interpret and discuss the findings.____ Correct specification of model(s)____ Accurate program syntax____ Acceptable evaluation of fit____ Accurate path diagram – unstandardized____ Accurate path diagram – standardizedProject 3 (20%)Students will complete analyses of a structural equation model with latent variables based on data provided by the instructor. The student will specify the model(s), estimate the model(s) usingappropriate software, evaluate fit, prepare path diagrams containing the unstandardized and standardized solutions, and interpret and discuss the findings.____ Correct specification of model(s)____ Accurate program syntax____ Acceptable evaluation of fit____ Accurate path diagram – unstandardized____ Accurate path diagram – standardized Project 4 (40%)Students will complete analyses of a structural equation model based on data and models of theirown choosing. The student will identify and/or gather the data, develop the model(s), specify the model(s), estimate the model(s) using appropriate software, evaluate fit, prepare path diagrams, and write a report on the study in APA format, where the results section should be of a quality suitable for publication.____ Rationale for questions/model included____ Appropriate level of detail regarding sample____ Appropriate level of detail regarding variables____ Analyses clearly described, including any modifications ____ Model(s) specified consistently with theory/rationale____ Program syntax is accurate____ Data screening conducted and reported____ Appropriate choice of fit indices____ Accurate interpretation of fit indices____ Parameter estimates included____ Accurate description/discussion of parameter estimates4____ Limitations noted____ Conclusions consistent with results____ Publishable writing of results section8. Grading Criteria:Grades will be based on a weighted totalTotal = .2*Project1 + .2*Project2 + .2*Project3 + .4*Project4 Grade will then be