Now showing items 1-10 of 10

  • Applications of network analysis in psychology 

    Hoffman, Michaela (University of Missouri--Columbia, 2016)
    Methods and applications for network analysis can be found in a variety fields from computer science and machine learning to sociology and political science. Here I describe some methodological issues and propositions for ...
  • Association measures : comparison of performance across binary matrices 

    Hendrickson, Gretchen (University of Missouri--Columbia, 2011)
    [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Investigation of the performance of Dice (1945) measure of association when applied to three dimensional data. Variance for the measure is developed ...
  • Classification problems in growth mixture modeling 

    Guerra Peña, Kiero (University of Missouri--Columbia, 2012)
    [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Growth mixture modeling can be used for two purposes: 1) to identify mixtures of normal sub-groups, and 2) to approximate oddly shaped distributions ...
  • Cohen's kappa as a method for link prediction 

    Hoffman, Michaela (University of Missouri--Columbia, 2013)
    As network data gains popularity for research in various fields, the need for methods to predict future links or find missing links in the data has increased. One subset of the methodology used to solve this problem involves ...
  • An in depth evaluation of internal criteria for determining the number of clusters in a data set 

    Stevens, Jordan (University of Missouri--Columbia, 2018)
    [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Clustering procedures partition data sets into groups, minimizing the distance within clusters while maximizing the distance between clusters. Clustering ...
  • Masking variables in mixture modeling 

    Rausch, Emilie (University of Missouri--Columbia, 2013)
    Finite normal mixture modeling is a popular technique for clustering individuals into distinct subpopulations. A characteristic of mixture modeling that researchers may be unaware of is its tendency to arrive at locally, ...
  • Model selection in mixture modeling 

    Shireman, Emilie, 1989- (University of Missouri--Columbia, 2016)
    In the psychological sciences, mixture modeling (also referred to as latent class or latent profile analysis) is very commonly used to find sub-populations within a sample. However, the process by which researchers select ...
  • Motivation change in college students 

    Guerra Peña, Kiero (University of Missouri--Columbia, 2011)
    [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] This study investigates the change of motivation of undergraduate students across an academic semester. Stepwise model comparison of individual change ...
  • Stability of rater agreement measures: the effect of shifting cell values within fixed margins 

    Hendrickson, Gretchen (University of Missouri--Columbia, 2007)
    [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] This thesis examines the effect of shifting cell observations within marginal values on rater agreement measures to provide guides for researchers in ...
  • The use of metaheuristics for feature selection and the derivation of diagnostic rules 

    Stevens, Jordan (University of Missouri--Columbia, 2019)
    [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] This dissertation includes four chapters that discuss 1) the history of metaheuristics, 2) the development of a genetic algorithm for feature selection, ...