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Adelson, Jill L. – Practical Assessment, Research & Evaluation, 2013
Often it is infeasible or unethical to use random assignment in educational settings to study important constructs and questions. Hence, educational research often uses observational data, such as large-scale secondary data sets and state and school district data, and quasi-experimental designs. One method of reducing selection bias in estimations…
Descriptors: Educational Research, Data, Statistical Bias, Probability
Stone, Clement A.; Tang, Yun – Practical Assessment, Research & Evaluation, 2013
Propensity score applications are often used to evaluate educational program impact. However, various options are available to estimate both propensity scores and construct comparison groups. This study used a student achievement dataset with commonly available covariates to compare different propensity scoring estimation methods (logistic…
Descriptors: Comparative Analysis, Probability, Sample Size, Program Evaluation
Baghaei, Purya; Carstensen, Claus H. – Practical Assessment, Research & Evaluation, 2013
Standard unidimensional Rasch models assume that persons with the same ability parameters are comparable. That is, the same interpretation applies to persons with identical ability estimates as regards the underlying mental processes triggered by the test. However, research in cognitive psychology shows that persons at the same trait level may…
Descriptors: Item Response Theory, Models, Reading Comprehension, Reading Tests
Parke, Carol S. – Practical Assessment, Research & Evaluation, 2012
This paper describes how districts can better use their extensive student databases and other existing data to explore questions of interest. School districts are required to maintain a wealth of student information in electronic data systems and other formats. The meaningfulness of the data depends to a large degree on whether they can understand…
Descriptors: Educational Indicators, Information Utilization, Guidelines, School Districts
Dadey, Nathan; Briggs, Derek C. – Practical Assessment, Research & Evaluation, 2012
A vertical scale, in principle, provides a common metric across tests with differing difficulties (e.g., spanning multiple grades) so that statements of "absolute" growth can be made. This paper compares 16 states' 2007-2008 effect size growth trends on vertically scaled reading and math assessments across grades 3 to 8. Two patterns common in…
Descriptors: Meta Analysis, Scaling, Effect Size, Reading Tests
Schafer, William D.; Lissitz, Robert W.; Zhu, Xiaoshu; Zhang, Yuan; Hou, Xiaodong; Li, Ying – Practical Assessment, Research & Evaluation, 2012
Interest in Student Growth Modeling (SGM) and Value Added Modeling (VAM) arises from educators concerned with measuring the effectiveness of teaching and other school activities through changes in student performance as a companion and perhaps even an alternative to status. Several formal statistical models have been proposed for year-to-year…
Descriptors: Teacher Evaluation, Teacher Effectiveness, School Effectiveness, Academic Achievement
Pibal, Florian; Cesnik, Hermann S. – Practical Assessment, Research & Evaluation, 2011
When administering tests across grades, vertical scaling is often employed to place scores from different tests on a common overall scale so that test-takers' progress can be tracked. In order to be able to link the results across grades, however, common items are needed that are included in both test forms. In the literature there seems to be no…
Descriptors: Scaling, Test Items, Equated Scores, Reading Tests
Schafer, William D.; Hou, Xiaodong – Practical Assessment, Research & Evaluation, 2011
This study discusses and presents an example of a use of spline functions to establish and report test scores using a moderated system of any number of cut scores. Our main goals include studying the need for and establishing moderated standards and creating a reporting scale that is referenced to all the standards. Our secondary goals are to make…
Descriptors: Cutting Scores, Standard Setting (Scoring), Achievement Tests, National Competency Tests
Schafer, William D.; Coverdale, Bradley J.; Luxenberg, Harlan; Jin, Ying – Practical Assessment, Research & Evaluation, 2011
There are relatively few examples of quantitative approaches to quality control in educational assessment and accountability contexts. Among the several techniques that are used in other fields, Shewart charts have been found in a few instances to be applicable in educational settings. This paper describes Shewart charts and gives examples of how…
Descriptors: Charts, Quality Control, Educational Assessment, Statistical Analysis
Miller, Tess; Chahine, Saad; Childs, Ruth A. – Practical Assessment, Research & Evaluation, 2010
This study illustrates the use of differential item functioning (DIF) and differential step functioning (DSF) analyses to detect differences in item difficulty that are related to experiences of examinees, such as their teachers' instructional practices, that are relevant to the knowledge, skill, or ability the test is intended to measure. This…
Descriptors: Test Bias, Difficulty Level, Test Items, Mathematics Tests

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