Worcester Polytechnic Institute Electronic Theses and Dissertations Collection

Title page for ETD etd-011509-161554


Document Typemasters report
Author NameLegare, Jonathan Charles
Email Address Jonathan.Legare at alum.wpi.edu
URNetd-011509-161554
TitleStudy of Structural Equation Models and their Application to Fitchburg Middle School Data
DegreeMS
DepartmentMathematical Sciences
Advisors
  • Ryung S Kim, Advisor
  • Janice Gobert, Co-Advisor
  • Keywords
  • path diagrams
  • factor analysis
  • structural equation models
  • Date of Presentation/Defense2008-12-01
    Availability unrestricted

    Abstract

    Structural equation models combine factor analysis models and multivariate regression models to estimate associations between observed variables and unobserved variables. The main achievement of this Capstone Project is the understanding of structural equation models and application of the models to real-world data. In this report, we reviewed structural equation models and several prerequisite topics. We performed a simulation study to compare maximum likelihood structural equation model estimation versus two-stage sequential estimation using multiple linear regression and maximum likelihood factor analysis. The simulation study confirmed that confidence intervals produced by structural equation models are valid and those obtained by two-stage sequential estimation are largely inaccurate. We applied structural equation models to an educational data comparing the efficacy of teaching conditions on learning scientific inquiry skills among 177 middle school students in Fitchburg, Massachusetts using a computer simulated science microworld. Application of structural equation models to the educational data showed that there were no significant differences in test score gains between three learning conditions, while controlling for latent factors measured by survey responses.

    Files
  • legare.pdf

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