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Howell, Roy D. – Measurement: Interdisciplinary Research and Perspectives, 2014
Building on the work of Bollen (2007) and Bollen & Bauldry (2011), Bainter and Bollen (this issue) clarifies several points of confusion in the literature regarding causal indicator models. This author would certainly agree that the effect indicator (reflective) measurement model is inappropriate for some indicators (such as the social…
Descriptors: Statistical Analysis, Measurement, Causal Models, Data Interpretation
Durand, Roger; Decker, Phillip J.; Kirkman, Dorothy M. – American Journal of Evaluation, 2014
Despite our best efforts as evaluators, program implementation failures abound. A wide variety of valuable methodologies have been adopted to explain and evaluate the "why" of these failures. Yet, typically these methodologies have been employed concurrently (e.g., project monitoring) or to the post-hoc assessment of program activities.…
Descriptors: Evaluation Methods, Program Implementation, Failure, Program Effectiveness
Kwenda, Maxwell – College Teaching, 2011
This study examines factors affecting students' performances in an Introductory Sociology course over five semesters. Employing simple and ordered logit regression models, the author explains final grades by focusing on individual demographic and educational characteristics that students bring into the classroom. The results show that a student's…
Descriptors: Evidence, Grade Point Average, Academic Achievement, Program Effectiveness
Ballou, Dale – National Education Policy Center, 2012
A new report titled "The Long-Term Impacts of Teachers" concludes that teachers whose students tend to show high gains on their test scores (called "high value-added teachers") also contribute to later student success in young adulthood, as indicated by outcomes such as college attendance and future earnings. To support this claim, it is not…
Descriptors: Evidence, Achievement Gains, High Achievement, Teacher Effectiveness
Marks, Gary N. – School Effectiveness and School Improvement, 2010
The purpose of this paper is to identify school effects on student performance for tertiary entrance in Australia, taking into account student-level predictors using longitudinal data from the 2003 Programme for International Student Assessment (PISA) study. It finds that aspects of schooling, such as positive attitudes to school and disciplinary…
Descriptors: Academic Achievement, Foreign Countries, Longitudinal Studies, Performance Factors
Conger, Dylan – Education and Urban Society, 2010
This article offers new directions in measuring racial isolation in schools. The most widely used measurement approach is to examine the mean on the distribution of school percentage non-White across non-White students (the isolation rate) or the percentage of non-White students in schools with large shares of non-Whites (e.g., 90% or more) at a…
Descriptors: Measurement Techniques, Evaluation Methods, Social Isolation, Disproportionate Representation
Akyuz, Gozde; Berberoglu, Giray – New Horizons in Education, 2010
Background: Teacher-related factors such as gender, experience, conceptions related to mathematics, instructional practices have effects with various magnitudes on students' mathematics achievement. Classroom related factors such as class size, class climate and limitations to teaching and their relation to mathematics achievement have also been…
Descriptors: Mathematics Achievement, Academic Achievement, Foreign Countries, Teaching Methods
Boerema, Albert J. – Journal of School Choice, 2009
Using student achievement data from British Columbia, Canada, this study is an exploration of the differences that lie within the private school sector using hierarchical linear modeling to analyze the data. The analysis showed that when controlling for language, parents' level of educational attainment, and prior achievement, the private school…
Descriptors: Private Schools, School Choice, Foreign Countries, Comparative Analysis
Francis, Gregory – Cognitive Psychology, 2003
A new general explanation for u-shaped backward masking is analyzed and found to predict shifts in the interstimulus interval (ISI) that produces strongest masking. This predicted shift is then compared to six sets of masking data. The resulting comparisons force the general explanation to make certain assumptions to account for the data. In this…
Descriptors: Data Interpretation, Predictor Variables
Walker, David A.; Mohammed, Shereeza F. – Educational Forum, 2008
Using National Assessment of Educational Progress mathematics data, a predictive model indicated that states could be classified as "No Score Gain" or "Score Gain" states based on median household income and the percentage of students participating in free and reduced-price lunch. Implications associated with the findings suggested that these two…
Descriptors: Educational Improvement, Federal Programs, National Competency Tests, Educational Indicators
Thompson, Bruce; And Others – 1991
Problems with using stepwise analytic methods are discussed, and better alternatives are illustrated. To make the illustrations concrete, an actual data set, involving responses of 91 medical school admissions directors to 30 variables, was used. The 30 variables involved perceptions of barriers to medical school with respect to characteristics of…
Descriptors: Admissions Officers, Data Interpretation, Effect Size, Higher Education
Kuscova, Simona; Buckley, Jack – Education Policy Analysis Archives, 2004
Many proponents of school choice use the claim of the market's capability to enhance efficiency and improve performance to call for its expansion. But no markets are perfectly competitive, and the local market for public goods is filled with institutional arrangements that make it differ from the neoclassical ideal. In this paper, we look at a…
Descriptors: Charter Schools, School Choice, Educational Legislation, Educational Policy
Becker, Jonathan D. – Education Policy Analysis Archives, 2006
Using data from the National Assessment of Educational Progress (NAEP) state assessment and a survey of state-level technology policies, this study examined digital equity in education as a multilevel organizational phenomenon with data from 70,382 students in 3,479 schools and 40 states. Students in rural schools or schools with higher…
Descriptors: Equal Education, Computer Uses in Education, Access to Computers, Information Policy
Papalewis, Rosemary – 1990
Common elements identified as context variables that may affect student evaluation of instruction are explored, and the literature on student ratings of teacher effectiveness is reviewed. Sociocultural context variables (gender, race, ethnicity, and social class variables) are discussed in terms of stereotyping and prejudice found with…
Descriptors: College Students, Data Interpretation, Ethnic Groups, Evaluation Methods
Lara-Cinisomo, Sandraluz; Pebley, Anne R.; Vaiana, Mary E.; Maggio, Elizabeth – RAND Corporation, 2004
School readiness is important for children, for their families, and for society at large. The authors' exploration of school readiness focuses on how the home literacy environment, parenting behavior, and social characteristics affect two aspects of school readiness: basic skills, such as reading and math; and behavior problems, including…
Descriptors: Neighborhoods, Behavior Problems, School Readiness, Socioeconomic Status