xiii, 137 p. : ill. A print copy of this thesis is available through the UO Libraries. Search the library catalog for the location and call number. / Research suggests that development of the alphabetic principle is a critical factor in learning to recognize words and becoming a successful reader. The alphabetic principle encompasses both the understanding that relationships exist between letters and sounds and the application of these relationships to reading words. This study investigated the degree to which different measures of the alphabetic principle were predictive of later reading development. These measures were examined in the context of Ehri's phase theory of sight word development to investigate how different behaviors associated with the alphabetic principle fit within a developmental framework. Two cohorts of students (109 kindergarteners, 212 first graders) participated in this study from spring of 2007 until late fall of 2008 (58 second graders, 121 third graders). The predictive powers of single and combined measures of the alphabetic principle were analyzed using sequential regression. Results indicated that each measure explained significant between-student variation in performance on measures of word reading fluency, oral reading fluency (ORF), vocabulary, and reading comprehension. A measure of letter-sounds embedded in nonsense words appeared to have more utility for the prediction of reading outcomes than a measure of letter-sounds presented in isolation. Additionally, including a measure of nonsense words with a measure of letter-sounds embedded in nonsense words increased the predictive power of the model over and above the predictive power of letter sounds alone. Growth on ORF served as an additional criterion for the purpose of investigating the methodology of measuring growth. Two conceptualizations of growth were explored: raw score change over time and individual rates of growth over time (slope). Correlations and sequential regression were used to evaluate the relationship between raw score change and measures of the alphabetic principle. Hierarchical Linear Modeling (HLM) was used to model individual slopes on Lexile measures of ORF (LORF). In general, raw score change appeared largely unrelated to measures of the alphabetic principle. HLM analyses revealed that individual differences in slope on LORF were minimal and not very reliable, making the prediction of these differences difficult. Recommendations for future research and implications for practice are discussed. / Committee in charge: Roland Good, Chairperson, Special Education and Clinical Sciences; Kenneth Merrell, Member, Special Education and Clinical Sciences; Leanne Ketterlin Geller, Member, Educational Methodology, Policy, and Leadership; Jean Stockard, Outside Member, Planning Public Policy and Management

abstract: Through a two study simulation design with different design conditions (sample size at level 1 (L1) was set to 3, level 2 (L2) sample size ranged from 10 to 75, level 3 (L3) sample size ranged from 30 to 150, intraclass correlation (ICC) ranging from 0.10 to 0.50, model complexity ranging from one predictor to three predictors), this study intends to provide general guidelines about adequate sample sizes at three levels under varying ICC conditions for a viable three level HLM analysis (e.g., reasonably unbiased and accurate parameter estimates). In this study, the data generating parameters for the were obtained using a large-scale longitudinal data set from North Carolina, provided by the National Center on Assessment and Accountability for Special Education (NCAASE). I discuss ranges of sample sizes that are inadequate or adequate for convergence, absolute bias, relative bias, root mean squared error (RMSE), and coverage of individual parameter estimates. The current study, with the help of a detailed two-part simulation design for various sample sizes, model complexity and ICCs, provides various options of adequate sample sizes under different conditions. This study emphasizes that adequate sample sizes at either L1, L2, and L3 can be adjusted according to different interests in parameter estimates, different ranges of acceptable absolute bias, relative bias, root mean squared error, and coverage. Under different model complexity and varying ICC conditions, this study aims to help researchers identify L1, L2, and L3 sample size or both as the source of variation in absolute bias, relative bias, RMSE, or coverage proportions for a certain parameter estimate. This assists researchers in making better decisions for selecting adequate sample sizes in a three-level HLM analysis. A limitation of the study was the use of only a single distribution for the dependent and explanatory variables, different types of distributions and their effects might result in different sample size recommendations. / Dissertation/Thesis / Doctoral Dissertation Educational Psychology 2016

Research on the influence of culture on creativity is in its infancy. Organizations world-wide may benefit from such research by implementing work environments that maximize creativity. In this article, the cross-cultural differences in creativity and the cultural values of cognitive uncertainty and desire for change were investigated. Three hundred eighty three undergraduate students from the University of North Florida and the University of Pretoria in South Africa participated in a study where creativity was measured using the Abbreviated Torrance Test for Adults (ATTA; Goff & Torrance, 2002) and the Creative Achievement Questionnaire (CAQ), particularly the portion of the CAQ identifying domain specific achievements (CAQ; Carson, Peterson, & Higgins, 2005). In addition to measuring creativity levels in both cultures, two cultural values, Cognitive Uncertainty and Desire for Change, were measured. Results indicate a significant positive correlation between Desire for Change and the CAQ in the United States and a significant negative correlation between Cognitive Uncertainty and the CAQ in South Africa. Independent samples t-tests were also conducted, resulting in higher scores from the United States sample on the ATTA and higher scores from the South African sample on Cognitive Uncertainty. It is argued that the results could have implications for developing work environments that foster creativity.

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