An Early History of the Rural Community College Initiative: Reflections on the Past and Implications for the Future

The $17.2 million Rural Community College Initiative (RCCI) demonstration grant program funded by the Ford Foundation which ran from 1994 to 2001 represents the largest philanthropic project specifically aimed at rural community colleges in United States history. While a good deal of literature has been published about this initiative, much was specifically commissioned by the foundation and can be seen as coming from a public relations perspective. This paper provides a historical perspective from an independent point of view. Its purpose is to create a documentary record for future community college leaders and potential funders interested in reaching the nation's 553 rural community colleges.     

Factor Analysis with Ordinal Indicators: A Monte Carlo Study Comparing DWLS and ULS Estimation

Factor analysis models with ordinal indicators are often estimated using a 3-stage procedure where the last stage involves obtaining parameter estimates by least squares from the sample polychoric correlations. A simulation study involving 324 conditions (1,000 replications per condition) was performed to compare the performance of diagonally weighted least squares (DWLS) and unweighted least squares (ULS) in the procedure's third stage. Overall, both methods provided accurate and similar results. However, ULS was found to provide more accurate and less variable parameter estimates, as well as more precise standard errors and better coverage rates. Nevertheless, convergence rates for DWLS are higher. Our recommendation is therefore to use ULS, and, in the case of nonconvergence, to use DWLS, as this method might converge when ULS does not.     

Detecting Misspecification in Mean Structures for Growth Curve Models: Performance of Pseudo R 2s and Concordance Correlation Coefficients

This study examined the performance of 4 correlation-based fit indexes (marginal and conditional pseudo R ²s; average and conditional concordance correlations) in detecting misspecification in mean structures in growth curve models. Their performance was also compared to that of 4 traditional SEM fit indexes. We found that the marginal pseudo R ² and average concordance correlation were able to detect misspecification in the marginal mean structure (average change trajectory). The conditional pseudo R ² and concordance correlation could detect misspecification when it occurred in the conditional mean structure (individual change trajectory) or in both mean structures. Compared to the SEM fit indexes, the correlation-based fit indexes were more robust to sample size but were less robust to data properties such as magnitude of population mean and measurement error. Theoretical and practical implications of the results and directions for future research are discussed.     

The Role of Set for Variability in Irregular Word Reading: Word and Child Predictors in Typically Developing Readers and Students At-Risk for Reading Disabilities

ABSTRACT

In a quasiregular orthography like English, children inevitably encounter irregular words during reading. Previous research suggests successful reading of an irregular word depends at least partially on a child’s ability to address the mismatch between decoded form and stored word pronunciation, referred to as a child’s set for variability, and the word’s relative transparency, measured here using a spelling to pronunciation transparency rating. Item-level analyses were used to explore the relationship between general child performance on the set for variability mispronunciation task, word specific set for variability (predicting reading of that word), spelling to pronunciation transparency rating, and irregular word reading. Significant predictors included general word reading, general set for variability performance, and item-specific set for variability performance; word frequency and spelling to pronunciation transparency rating; and an interaction between word reading and the transparency rating. Results underscore the importance of considering both general and item-specific factors affecting irregular word reading.     

Relationships Among Cortical Thickness,Reading Skill,and Print Exposure in Adults

This study investigated relationships among cortical thickness in the left-hemisphere reading network, and reading skill and experience in adult nonimpaired readers. Given the relationship between print exposure and reading, it is possible that print exposure is related to cortical structure. The pattern of correlations indicated that individuals with higher print exposure had better reading skills and thicker cortices. Furthermore, print exposure accounted for unique variance in cortical thickness in part of the left-hemisphere reading network after accounting for reading skill. This suggests that some of the variation in cortical thickness in adults might be attributable to reading experience, independently of reading skill.     

Context Strengthens Initial Misinterpretations of Text

Three self-paced reading experiments examined the effect of context on interpreting subsequent sentences and in the difficulty of revising initial misinterpretations of subsequent temporarily ambiguous sentences. Target sentences containing noun phrase/sentence (NP/S) coordination ambiguities were preceded by contexts that either did or did not support the preferred, incorrect “NP and NP” interpretation. Online reading times and offline comprehension question responses were the dependent variables. Results suggest that when propositional content of incoming text is consistent with propositional content of the context, readers often hang on to the resulting coherent interpretation even when subsequent input contradicts it. Results also suggest that (a) context affects reading times and final interpretation; (b) when context and comprehension questions bias readers toward the incorrect interpretation, even unambiguous sentences are regularly misinterpreted; and (c) both semantic content and syntactic form of context influence how the context and subsequent text are integrated in memory.