Education Commons^™

Is A Picture Worth A Thousand Numbers? An Exploration Of Understanding And Recall Of Data Presentations, Holly L. Roof

Electronic Theses and Dissertations

This dissertation reports results of a study with a quasi-randomized experimental component and a protocol analysis, or think aloud, component. The experimental component was designed to determine if people with no statistical training and people with some statistical training differed in their understanding and recollection of statistical information with varying degrees of complexity. Information was presented using data visualization techniques based on cognitive theory and compared to presentations using APA-style numerical tables of statistical output. The focus was on using empirically-supported graphical displays in PowerPoint presentations such as one might see at a research conference. Classroom groups of beginning and …

A Comparison Of Bayesian Estimation Techniques In A Multidimensional Two-Parameter Partial Credit Item Response Model, Peiyan Liu

Electronic Theses and Dissertations

Bayesian estimation methods have shown better performance than the traditional Marginal Maximum Likelihood (MML) estimation method for parameter estimation in relatively simple item response models. However, extant literature is lacking on the investigation of Bayesian parameter estimation approaches for a multidimensional two parameter partial credit (M2PPC) model, therefore this simulation study investigated the performance of two Bayesian Markov Chain Monte Carlo (MCMC) algorithms: Gibbs Sampler and Hamiltonian Monte Carlo-No-U-Turn-Sampler (HMC-NUTS) for M2PPC models' parameter estimation. It compared the estimation accuracy and computing speed in different combinations of situations, including prior choices, test lengths, and the relationships between dimensions.

The datasets …

Latent Growth Curve And Latent Change Score Modeling Of Developmental Relationships Between Executive Functioning And Math Achievement In Early Elementary School, Kerry-Ann Lewis Pearcy

Electronic Theses and Dissertations

The current study compared latent growth curve (LGC) models and latent change score (LCS) models capabilities in modeling complex data in a development framework. Using the nationally representative ECLS-K:2011 dataset, LGC and LCS models explored the dynamic relationship between executive function and math achievement. The relationship between the two constructs has been extensively examined but little is understood about their dynamic relationship. The findings of this study indicated LCS to be more robust than LGC in modeling complex data and in examining dynamic relationship. The findings also suggested that one of the two executive functioning tasks, Dimensional Change Card Sort …