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Grigg, Jeffrey; Kelly, Kimberle A.; Gamoran, Adam; Borman, Geoffrey D. – Educational Evaluation and Policy Analysis, 2013
In this article, we examine classroom observations from a 3-year large-scale randomized trial in the Los Angeles Unified School District (LAUSD) to investigate the extent to which a professional development initiative in inquiry science influenced teaching practices in in 4th and 5th grade classrooms in 73 schools. During the course of the study,…
Descriptors: Urban Schools, Inquiry, Professional Development, Grade 4
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Goldhaber, Dan D.; Goldschmidt, Pete; Tseng, Fannie – Educational Evaluation and Policy Analysis, 2013
This article reports on findings based on analyses of a unique dataset collected by ACT that includes information on student achievement in a variety of subjects at the high-school level. The authors examine the relationship between teacher effect estimates derived from value-added model (VAM) specifications employing different student learning…
Descriptors: Achievement Gains, High Schools, Academic Achievement, Teacher Effectiveness
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Sadler, D. Royce – Educational Evaluation and Policy Analysis, 1981
Potential sources of bias are classified as ethical compromises, value inertias, or cognitive limitations. Thirteen specifics of intuitive thinking and judgmental processes are described. The author wishes to alert naturalistic evaluators to common failings. This list can be a useful checklist in reducing, integrating and drawing inferences from…
Descriptors: Bias, Cognitive Processes, Data Analysis, Data Collection
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Caracelli, Valerie J.; Greene, Jennifer C. – Educational Evaluation and Policy Analysis, 1993
The following four integrative data analysis strategies for mixed-method evaluation designs are derived from and illustrated by empirical practice: (1) data transformation; (2) typology development; (3) extreme case analysis; and (4) data consolidation and merging. Use of these methods to realize the full potential of mixed-method approaches is…
Descriptors: Classification, Data Analysis, Evaluation Methods, Program Design
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Greene, Jennifer C.; And Others – Educational Evaluation and Policy Analysis, 1989
A mixed-method conceptual framework was developed from the literature and refined through an analysis of 57 empirical mixed-method evaluations. Five purposes for mixed-method evaluation are identified (triangulation, complementarity, development, initiation, and expansion) and analyzed using the framework of 7 design characteristics. (TJH)
Descriptors: Data Analysis, Evaluation Methods, Methods Research, Multitrait Multimethod Techniques
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Muthen, Bengt; And Others – Educational Evaluation and Policy Analysis, 1995
A set of methods is proposed for the analysis of opportunity to learn (OTL) in relation to achievement in large-scale educational assessments. Methods are illustrated with data from the National Assessment of Educational Progress and the National Education Longitudinal Study. Implications for large-scale educational assessment are discussed. (SLD)
Descriptors: Academic Achievement, Data Analysis, Educational Assessment, Elementary Secondary Education
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Frisbie, David A. – Educational Evaluation and Policy Analysis, 1982
Validation studies, placement-enrollment comparisons, student surveys, and instructor interviews are discussed as operational methods in a synthesizing approach to undergraduate course placement evaluation. A range of suggested questions is coupled with various data sources in placement evaluation schemes and system procedures. (CM)
Descriptors: Data Analysis, Enrollment Projections, Evaluation Methods, Higher Education
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Ripley, William K. – Educational Evaluation and Policy Analysis, 1985
A communication theory paradigm typically is used to investigate the relationship between evaluation information and utilization: "Who says what, how, to whom, with what effects?" This study investigates the "how," or medium of presentation, aspect of the paradigm. (Author/LMO)
Descriptors: Data Analysis, Evaluation Criteria, Evaluation Methods, Evaluation Utilization
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St. Pierre, Robert G. – Educational Evaluation and Policy Analysis, 1979
A model is described which illustrates two general uses of multiple analyses to evaluate quasi-experiments: obtaining estimates of the treatment effect, and checking the validity of the experiment. (MH)
Descriptors: Data Analysis, Evaluation Methods, Literature Reviews, Models
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Willms, J. Douglas; Kerckhoff, Alan C. – Educational Evaluation and Policy Analysis, 1995
Drawing on British data, this article discusses issues involved in analyzing educational indicator data. Gross productivity, new productivity, and inequality are discussed as types of indicators that describe interdistrict variation in Great Britain. Recommendations are made regarding features of an educational assessment that would be necessary…
Descriptors: Data Analysis, Data Collection, Educational Assessment, Educational Indicators
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Wolf, Robert L. – Educational Evaluation and Policy Analysis, 1979
The Judicial Evaluation Method (JEM) is useful for aiding decision-making bodies to formulate policies. Broad public participation in complex issues is provided by JEM. (The conceptualization, policy formulation stages, and participant roles are identified; and the model is applied in two case studies). (MH)
Descriptors: Community Involvement, Court Role, Data Analysis, Data Collection
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Wiley, David E. – Educational Evaluation and Policy Analysis, 1979
Title I Evaluation models using uniform procedures and data collection for state and national comparisons are interpreted as federal endorsement of basic, common competencies in reading and mathematics. Basic competencies, content homogeneity, conversion methodology, and validity of the evaluation are discussed. (MH)
Descriptors: Academic Achievement, Academic Standards, Basic Skills, Compensatory Education