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Francis, Raymond W.; Deschaine, Mark E. – Online Submission, 2018
One of the largest challenges in educator preparation in higher education is the effective use of data for actionable and meaningful decision making about programs for current and future educators, administrators, and educational leaders. Within programs there are many types of students. These may include elementary, secondary, special education,…
Descriptors: Scaling, Comparative Analysis, Preservice Teacher Education, Data
Finch, Holmes – Practical Assessment, Research & Evaluation, 2022
Researchers in many disciplines work with ranking data. This data type is unique in that it is often deterministic in nature (the ranks of items "k"-1 determine the rank of item "k"), and the difference in a pair of rank scores separated by "k" units is equivalent regardless of the actual values of the two ranks in…
Descriptors: Data Analysis, Statistical Inference, Models, College Faculty
Borda, Emily J.; Boudreaux, Andrew; Fackler-Adams, Ben; Frazey, Paul; Julin, Sara; Pennington, Gregory; Ogle, Jared – Journal of College Science Teaching, 2017
Passive, lecture-based forms of instruction are often ineffective in helping students develop deep conceptual understanding of scientific concepts. Student-centered forms of instruction based in a constructivist framework, where students are guided toward actively constructing their understanding, have been met with greater success. However,…
Descriptors: Student Centered Curriculum, Chemistry, Science Instruction, Scores
Shipman, B. A. – PRIMUS, 2012
Through a series of six guided classroom discoveries, students create, via targeted questions, a definition for deciding when two sets have the same cardinality. The program begins by developing basic facts about cardinalities of finite sets. Extending two of these facts to infinite sets yields two statements on comparing infinite cardinalities…
Descriptors: Cognitive Processes, Multidimensional Scaling, Matrices, Questioning Techniques
Alternative Multidimensional Models Explaining and Improving Academic Achievement in Latino Students
Gonzalez, Virginia; Soltero, Sonia W. – Bilingual Research Journal, 2011
Our objective is to provide two multidimensional models (i.e., contextual-interaction and Ethnic Educator) including sociopolitical, socioeconomic, sociocultural, and sociohistorical factors explaining underachievement in Latinos. First, we critically discuss single-factor theories (i.e., deficit, resistance, social reproduction, cultural…
Descriptors: Underachievement, Multilingualism, Item Response Theory, Immigrants
Shortridge, Ashton; Goldsberry, Kirk; Weessies, Kathleen – Journal of Geography, 2011
This article characterizes and measures errors in the 2010 National Research Council (NRC) assessment of research-doctorate programs in geography. This article provides a conceptual model for data-based sources of uncertainty and reports on a quantitative assessment of NRC research data uncertainty for a particular geography doctoral program.…
Descriptors: Geography, Doctoral Programs, Graduate Study, Educational Assessment
Eglash, Ron; Krishnamoorthy, Mukkai; Sanchez, Jason; Woodbridge, Andrew – ACM Transactions on Computing Education, 2011
This article describes the use of fractal simulations of African design in a high school computing class. Fractal patterns--repetitions of shape at multiple scales--are a common feature in many aspects of African design. In African architecture we often see circular houses grouped in circular complexes, or rectangular houses in rectangular…
Descriptors: High School Students, Indigenous Knowledge, Ceremonies, African Culture
Chaaban, Jad M. – Social Indicators Research, 2009
This paper develops an empirical methodology for the construction of a synthetic multi-dimensional cross-country comparison of the performance of governments around the world in improving the livelihood of their younger population. The devised "Youth Welfare Index" is based on the nonparametric Data Envelopment Analysis (DEA) methodology and…
Descriptors: Nonparametric Statistics, Research Methodology, Evaluation Methods, Comparative Education
Strang, Kenneth David – Practical Assessment, Research & Evaluation, 2009
This paper discusses how a seldom-used statistical procedure, recursive regression (RR), can numerically and graphically illustrate data-driven nonlinear relationships and interaction of variables. This routine falls into the family of exploratory techniques, yet a few interesting features make it a valuable compliment to factor analysis and…
Descriptors: Multicultural Education, Computer Software, Multiple Regression Analysis, Multidimensional Scaling
Schulz, Wolfram – 2003
One of the most salient requirements for international educational research is the use of comparable measures. For the comparison of student performance across countries the use of item response theory (IRT) scaling techniques facilitates the collection of cross-nationally comparable measures. But there is also a need for valid and comparable…
Descriptors: Comparative Analysis, Construct Validity, Cross Cultural Studies, Educational Research
Osberg, Lars – 2000
This paper uses direct measures of literacy skill levels provided by the International Adult Literacy Survey to estimate the return to literacy skills. Using a very simple human capital earnings equation and standard ordinary least squares regression, it tested estimates of the return to literacy skills for their robustness to alternative scalings…
Descriptors: Adult Education, Adult Literacy, Comparative Analysis, Developed Nations
Benderson, Albert, Ed. – Focus, 1988
The scores of handicapped students taking tests such as the Scholastic Aptitude Test (SAT) or the Graduate Record Examinations are flagged so that admissions officers will be aware that they were achieved under special circumstances. A series of studies was initiated to determine whether special administrations of such tests are comparable to…
Descriptors: Admission Criteria, College Admission, College Entrance Examinations, College Students