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Dimension Reduction On Measures Of Impulsivity, Christina T. Schulz
Dimension Reduction On Measures Of Impulsivity, Christina T. Schulz
Dissertations and Theses
The main focus of this study was twofold: the first purpose being the assessment of convergent validity on six different measures of impulsivity, and the second being a comparison of dimension reduction techniques for quantitative data. Results from a Principal Components Analysis (PCA) were compared with results from a novel dimension technique known as Local Linear Embedding (LLE). LLE is an analysis of dimension reduction for nonlinear, high dimensional data. By computing neighborhood preserving embeddings, LLE aims to map newly constructed coordinates into a global coordinate structure of a lower dimension. Past research using LLE has solely been conducted on …