USF EDF 7486 - EDF 7486 Syllabus (9 pages)

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EDF 7486 Syllabus



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EDF 7486 Syllabus

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Pages:
9
School:
University of South Florida
Course:
Edf 7486 - Application of Structural Equation Modeling in Education
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1 COLLEGE OF EDUCATION DEPARTMENTAL COURSE SYLLABUS 1 Course Prefix and Number EDF 7486 2 Course Title Education Application 3 Course Prerequisites of Structural Equation Modeling in 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 of statistical 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 assumptions 2 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 analysis 6 Content Outline Orientation to Course Introduction to SEM Path Models Model Specification Equation notation Model Specification LISREL notation Implied Covariance Matrices Identification and Equivalent Models Model Estimation and Power Model Fit and Interpretation Issues Non Normality and Interpretation Issues Latent Growth Models 7 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 standardized 3 Accurate estimate of total direct and indirect effects Project 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 standardized Project 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 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 standardized Project 4 40 Students will complete analyses of a structural equation model based on data and models of their own 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 estimates 4 Limitations noted Conclusions consistent with results Publishable writing of results section 8 Grading Criteria Grades will be based on a weighted total Total 2 Project1 2 Project2 2 Project3 4 Project4 Grade will then be assigned based on the total score A B C D F 90 100 80 89 70 79 60 69 00 59 9 Textbook s and Readings Orientation to Course Introduction to SEM Path Models Hershberger S L 2003 The growth of structural equation modeling 1994 2001 Structural Equation Modeling 10 35 46 McDonald R P Ho M H R 2002 Principles and practice in reporting structural equation analyses Psychological Methods 7 64 82 Boomsma Anne 2000 Reporting


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