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Shavelson, Richard J. – Education Policy Analysis Archives, 2018
A critical issue in educational evaluation is whether evaluations should focus on standardized (summative, often quantitative) or contextualized (formative or often qualitative) evidence. The author of this article advises readers to beware of false dichotomies. The big issue is not whether evaluations should be "standardized" or…
Descriptors: Educational Assessment, Summative Evaluation, Formative Evaluation, Evaluation Methods
Chan, Wendy – Journal of Research on Educational Effectiveness, 2017
Recent methods to improve generalizations from nonrandom samples typically invoke assumptions such as the strong ignorability of sample selection, which is challenging to meet in practice. Although researchers acknowledge the difficulty in meeting this assumption, point estimates are still provided and used without considering alternative…
Descriptors: Generalization, Inferences, Probability, Educational Research
McDuffie, Kimberly A.; Scruggs, Thomas E. – Intervention in School and Clinic, 2008
In response to recent trends and legislation, the concept of implementing evidence-based practices has become a critical component of contemporary schooling. It is important that teachers and families of students with disabilities understand the role that qualitative research plays in determining whether a practice is in fact evidence based.…
Descriptors: Qualitative Research, Disabilities, Special Education, Evidence

Tate, Richard L. – Florida Journal of Educational Research, 1986
Regression-based adjustment of student outcomes for the assessment of the merit of schools is considered. First, the basics of causal modeling and multiple regression are briefly reviewed. Then, two common regression-based adjustment procedures are described, pointing out that the validity of the final assessments depends on: (1) the degree to…
Descriptors: Causal Models, Educational Assessment, Elementary Secondary Education, Evaluation Methods

Katz, Richard S.; Eagles, Munroe – PS: Political Science and Politics, 1996
Constructs a model that explains a large fraction of the variance in political science departmental rankings. Divides the objective predictors into two sets: one reflecting faculty quality ratings of department members, the other the effects of circumstances beyond a department's control. This model works well with most social science disciplines.…
Descriptors: Achievement Rating, Analysis of Variance, Causal Models, Credentials
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers