Title page for ETD etd-02242008-205541


Type of Document Master's Thesis
Author Godbold, Elizabeth S,
Author's Email Address lizgodbold@alumni.wfu.edu
URN etd-02242008-205541
Title Hierarchical Linear Modeling against the “Gold Standard” of Visual Analysis in Single-Subject Design
Degree Master of Arts (M.A.)
Department Psychology
Advisory Committee
Advisor Name Title
Frank M. Gresham Committee Chair
George H. Noell Committee Member
Kristin A. Gansle Committee Member
Keywords
  • visual analysis research
  • statistical analysis research
  • contingency probability
  • template overlay
  • visual analysis survey
  • roc curves
  • single case designs
  • receiver operating characteristic curves
Date of Defense 2007-12-06
Availability unrestricted
Abstract
Visual analysis is the “Gold Standard” for single-subject data because of two assumptions: a low Type I error rate and consistency across raters. However, research has shown it less reliable and accurate than desired. Autocorrelation, variability, trend, lack of obvious mean shift, and differences in the physical presentation of graphs contribute to inconsistencies and higher error rates. Statistical analysis has been advocated as a judgmental aid to visual analysis, but an appropriate statistic has not been found. In the present study, the accuracy of Hierarchical Linear Modeling was compared to raters’ visual analysis of previously published data using Receiver Operating Characteristic curves. The statistic was established as a potentially useful judgmental aid; however, definite conclusions were hindered by low power.
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