Thesis (Ph. D.)--Miami University, Dept. of Educational Leadership, 2008. / Title from second page of PDF document. Includes bibliographical references (p. 160-164).

This project explored the impact of the implementation of Proposition 227 on SAT-9 scores in grades 2-11 of the Leander Unified School District. Minimal growth in test scores was found as a result of replacing the bilingual programs with English-only programs, contradicting claims by proponents of the proposition.

The Arizona Student Assessment Program (ASAP) is a major piece of legislation for Arizona, reducing norm-referenced standardized testing, providing performance-based assessments matching curriculum, requiring district articulation with state curriculum frameworks and assessments, collecting contextual information from districts, and producing complete profiles of schools, districts and the state. In its first year of implementation, the ASAP is appropriately examined through policy analysis rather than through an evaluation study. Six criteria for educational policy analysis developed by Mitchell (1986) were validated and used as interview questions with seven interviewees knowledgeable about the ASAP. Results of the interviews suggest the degree to which the ASAP is good educational policy and likely to make a difference in Arizona. Interviewees indicated that the ASAP is democratic, providing for both the needs of legitimate stakeholders and the general public interest. It recognizes and supports the organizational integrity of schools only if schools have begun to make some reform efforts of their own in the direction of the ASAP. The ASAP provides adequate means-end linkage for the first two years of implementation, including through school, district, and state profiles, but may need to provide additional help to districts during the first two years; furthermore, relief incentives may be needed, rather than sanctions or disincentives, to encourage continued implementation. The ASAP may not be integrated into overall state educational policy, primarily because there has been no unifying state policy until the ASAP. The ASAP may emerge as a force to reorient current and unify future policy. The ASAP will be expensive, but the interviewees felt the short and long-term benefits justify cost. The ASAP was the most politically feasible policy available to bring about the changes needed, but perhaps not the most palatable, especially to districts that have made no reform efforts of their own. Policy analysis using different criteria and evaluation studies are recommended.

It is the plan of this study to present an accurate picture of the work done by Miss Eva Barton in her effort, through supervision, to establish for the rural schools of the county increasingly effective teaching. The writer hopes that from this study other counties may through comparing their program gain suggestions that will aid in their development.

This study was designed to ascertain whether group achievement test data can determine special education referral accuracy. One hundred eighty-nine special education referrals from four school districts in Texas were examined. The demographics were limited to group achievement test data: grade equivalents and percentiles in the subject areas of reading, spelling, language arts, and mathematics. Also examined were referral and eligibility outcomes to special education.

A fundamental issue in educational measurement is what frame of reference to use when interpreting students’ performance on an assessment. One frame of reference that is often used to enhance interpretations of test scores is normative, which adds meaning to test score interpretations by indicating the rank of an individual’s score within a distribution of test scores of a well-defined reference group. One of the most commonly used frames of reference on student achievement provided by test publishers of large-scale assessments is national norms, whereby students’ test scores are referenced to a distribution of scores of a nationally representative sample. A national probability sample can fail to fully represent the population because of student and school nonparticipation. In practice, this is remedied by weighting the sample so that it better represents the intended reference population. The focus of this study was on weighting and determining the extent to which weighting grade 4 and grade 8 student records that are not fully representative of the nation can recover distributions of reading and math scores in a national probability sample. Data from a statewide testing program were used to create six grade 4 and grade 8 datasets, each varying in its degree of representativeness of the nation, as well as in the proximity of its reading and math distributions to those of a national sample. The six datasets created for each grade were separately weighted to different population totals in two different weighting conditions using four different bivariate stratification designs. The weighted distributions were then smoothed and compared to smoothed distributions of the national sample in terms of descriptive statistics, maximum absolute differences between the relative cumulative frequency distributions, and chi-square effect sizes. The impact of using percentile ranks developed from the state data was also investigated. By and large, the smoothed distributions of the weighted datasets were able to recover the national distribution in each content area, grade, and weighting condition. Weighting the datasets to the nation was effective in making the state test score distributions more similar to the national distributions. Moreover, the stratification design that defined weighting cells by the joint distribution of median household income and ethnic composition of the school consistently produced desirable results for the six datasets used in each grade. Log-linear smoothing using a polynomial of degree 4 was effective in making the weighted distributions even more similar to those in the national sample. Investigation of the impact of using the percentile ranks derived from the state datasets revealed that the percentile ranks of the distributions that were most similar to the national distributions resulted in a high percentage of agreement when classifying student performance based on raw scores associated with the same percentile rank in each dataset. The utility of having a national frame of reference on student achievement, and the efficacy of estimating such a frame of reference from existing data are also discussed.

Thesis (M.Ed.)--University of Hong Kong, 1986. / Includes bibliographical references (leaf 118-128). Also available in print.

Mathematics is an increasingly important aspect of education because of its central role in technology. Learning mathematics at the elementary and middle school levels forms the basis for achievement in high school and college mathematics, and for the broad range of mathematical skills used in the workplace. Especially, the middle school years (e.g., Grade 6-Grade8) are crucial to success in mathematics because students must acquire the skills needed in higher levels of mathematics and complex reasoning ability based on the developmental perspectives on cognition (e.g., Piaget, Vygotsky). The purpose of the current study was to measure and interpret the mathematical achievement growth during the middle school years using some very recent advances (confirmatory multidimensional and longitudinal models) in item response theory. It was found that the relative strength of the content areas (mathematical standards and benchmarks) shifted somewhat across grades in defining mathematical achievement. The largest growth occurred from Grade 6 to Grade 7. The specific pattern of growth varied substantially by the socio-economic status of the student but few differences emerged by gender. The implications of the results for education and for developmental theories of cognitive complexity are discussed.

Cognitive Diagnostic Models (CDMs) are a useful way to identify potential areas of intervention for students who may not have mastered various skills and abilities at the same time as their peers. Traditionally, CDMs have been used on narrowly defined classroom tests, such as those for determining whether students are able to use different algebraic principles correctly. In the current study, the Deterministic Input, Noisy "And" Gate model (DINA; Haertel, 1989; Junker&Sijtsma, 2001) and the Compensatory Reparameterized Unified Model (CRUM; Hartz, 2002), as parameterized by the log-linear cognitive diagnosis model (LCDM; Henson, Templin,&Willse, 2009), were used to analyze the utility of pre-defined cognitive components in estimating students' abilities in a broadly defined, standardized mathematics achievement test. The attribute mastery profile distributions were compared; the majority of students was classified into the extremes of no mastery or complete mastery for both the CRUM and DINA models, though greater variability among attribute mastery classifications was obtained by the CRUM.

Thesis (Ed.D.)--University of West Florida, 2007. / Title from title page of source document. Document formatted into pages; contains 163 pages. Includes bibliographical references.