Back to results

University of Denver

Culturally and Linguistically Diverse Students' Standardized English Literacy Achievement and Language Redesignation Status: A Multiple Regression Analysis

Abstract

dc:description.abstract

<p>The initial <em>No Child Left Behind</em> (NCLB) legislation stated that by 2014 <em>all</em> students would reach proficiency in all subjects. However, this has not been the case as NCLB has had mixed effects for culturally and linguistically diverse students (CLDs) (Hopkins, Thompson, Linquanti, Hakuta, & August, 2013). Language redesignation policies, often termed reclassification, can be considered a significant contributor as the variation in policies and practices alone has led to significantly different achievement for CLDs across the country (Hill, Weston, & Hayes, 2014; Mahoney & MacSwan, 2005) and has created an expansive achievement gap with their non-CLD White counterparts (Reardon, 2011; U.S. Department of Education, 2012). This dissertation utilizes asset-based and systems theories to refute current language redesignation policies employed for CLDs. Additionally, Cummins' (1979, 1981) developmental interdependence hypothesis serves as a theoretical framework. Multiple and hierarchical regression analyses are employed to predict CLDs' longitudinal literacy achievement in English based on language redesignation status (exited or still receiving language services), prior English language proficiency (ELP) data, native language literacy proficiency at kindergarten exit, and prior standardized English literacy achievement. By explaining the variance associated with the most significant predictors, this empirical model could provide policymakers with an evidence-based approach to the language redesignation policy framework. Specifically, those variables that are the most significant in predicting long-term achievement should be included, while new variables, such as native language literacy proficiency are identified for potential inclusion. The substantive implications of these models will provide policymakers with an objective, evidence-based process for language redesignation of CLDs into mainstream English classrooms based on longitudinal achievement data and statistical analyses.</p>

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Year dc:date.available
2015

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Weyer, Matthew R.
Contributors dc:contributor
  • Kristina Hesbol, Ph.D.
  • Susan Korach
  • Ryan Gildersleeve
  • Nicole Nicotera
  • Kent Seidel

Subjects

dc:subject × 10

Rights

dc:rights
Statement dc:rights
  • <p>Copyright is held by the author. User is responsible for all copyright compliance.</p>
Language dc:language
en

Identifiers

dc:identifier.*
Repository record dc:identifier
https://digitalcommons.du.edu/etd/1071
OAI identifier oai:identifier
oai:digitalcommons.du.edu:etd-2071

Chain of custody

source
Harvested from
University of Denver
Base URL
digitalcommons.du.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Weyer, Matthew R.. Culturally and Linguistically Diverse Students' Standardized English Literacy Achievement and Language Redesignation Status: A Multiple Regression Analysis. Dissertation thesis, 2015. https://digitalcommons.du.edu/etd/1071