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Bentler, Peter M. – Measurement: Interdisciplinary Research and Perspectives, 2016
The latent factor in a causal indicator model is no more than the latent factor of the factor part of the model. However, if the causal indicator variables are well-understood and help to improve the prediction of individuals' factor scores, they can help to interpret the meaning of the latent factor. Aguirre-Urreta, Rönkkö, and Marakas (2016)…
Descriptors: Causal Models, Factor Analysis, Prediction, Scores
Twing, Jon S. – Assessment in Education: Principles, Policy & Practice, 2016
This special issue of "Assessment in Education" contains the type of debate needed about what Cizek (2015) calls a "… lingering flaw in the concept of validity…." Some practitioners might not agree that the current theory of validation is flawed. Specifically, the debate Jon Twing is referencing concerns the role of the…
Descriptors: Test Validity, Misconceptions, Evidence, Scores
Sireci, Stephen G. – Assessment in Education: Principles, Policy & Practice, 2016
A misconception exists that validity may refer only to the "interpretation" of test scores and not to the "uses" of those scores. The development and evolution of validity theory illustrate test score interpretation was a primary focus in the earliest days of modern testing, and that validating interpretations derived from test…
Descriptors: Test Validity, Misconceptions, Evaluation Utilization, Data Interpretation
Moss, Pamela A. – Assessment in Education: Principles, Policy & Practice, 2016
The conventional focus of validity in educational measurement has been on intended interpretations and uses of test scores. Empirical studies of test use by teachers, administrators and policy-makers show that actual interpretations and uses of test scores in context are invariably shaped by local users' questions, which frequently require…
Descriptors: Test Validity, Evaluation Utilization, Educational Assessment, Scores
Adler, Moshe – Education Policy Analysis Archives, 2013
The authors of the study "The Long-Term Impact of Teachers" claim that their study shows that increases in teacher value-added lead to significant and lasting increases in test scores and significant increases in income that will last throughout adulthood. Instead, I show that these claims are false because they are contradicted by the…
Descriptors: Teacher Effectiveness, Academic Achievement, Income, Scores
Pituch, Keenan A.; Whittaker, Tiffany A.; Chang, Wanchen – American Journal of Evaluation, 2016
Use of multivariate analysis (e.g., multivariate analysis of variance) is common when normally distributed outcomes are collected in intervention research. However, when mixed responses--a set of normal and binary outcomes--are collected, standard multivariate analyses are no longer suitable. While mixed responses are often obtained in…
Descriptors: Intervention, Multivariate Analysis, Mixed Methods Research, Models
Faulkner-Bond, Molly; Waring, Sara; Forte, Ellen; Crenshaw, Rhonda L.; Tindle, Kathleen; Belknap, Bridget – Office of Planning, Evaluation and Policy Development, US Department of Education, 2012
In 2010, the U.S. Department of Education (the Department) contracted with Synergy Enterprises, Inc. and edCount, LLC, to complete a study titled Language Instruction Educational Programs (LIEPs): Lessons From the Research and Profiles of Promising Programs. This study includes a review of the foundational literature related to LIEPs, case studies…
Descriptors: School Districts, Case Studies, Vocational Education, Literature Reviews
Sireci, Stephen G.; Han, Kyung T.; Wells, Craig S. – Educational Assessment, 2008
In the United States, when English language learners (ELLs) are tested, they are usually tested in English and their limited English proficiency is a potential cause of construct-irrelevant variance. When such irrelevancies affect test scores, inaccurate interpretations of ELLs' knowledge, skills, and abilities may occur. In this article, we…
Descriptors: Test Use, Educational Assessment, Psychological Testing, Validity
Bracey, Gerald W. – Phi Delta Kappan, 2000
Reporting how many people scored at a certain level or how many people passed a cut score is not the same thing as reporting the scores themselves. The newest (indefensible) cliche, derived from international test-score comparisons, says American kids get dumber the longer they stay in school. (MLH)
Descriptors: Comparative Education, Data Interpretation, Educational Research, Elementary Secondary Education

Zegers, Frits E. – Applied Psychological Measurement, 1991
The degree of agreement between two raters rating several objects for a single characteristic can be expressed through an association coefficient, such as the Pearson product-moment correlation. How to select an appropriate association coefficient, and the desirable properties and uses of a class of such coefficients--the Euclidean…
Descriptors: Classification, Correlation, Data Interpretation, Equations (Mathematics)
Bracey, Gerald W. – Principal Leadership, 2001
Factors contributing to American students' declining scores on the TIMSS (Third International Mathematics and Science Study) between grades 4 and 8 include textbook size and U.S. educators' traditional views of middle-school years. Bad data probably invalidate claims about the grade 8 to 12 decline. International reading scores favor Americans.…
Descriptors: Achievement Tests, Comparative Education, Data Interpretation, Elementary Secondary Education
Burley, Hansel – American School Board Journal, 2001
Disappointing high-stakes test results matter far less than the type of future citizens that schools produce. Citizenship values (teamwork, leadership, and neighborliness) are not assessed well by multiple-choice exams. Poor performers should not be segregated, data should be reinterpreted, and remediation should stress tutoring interventions, not…
Descriptors: Accountability, Citizenship Education, Data Interpretation, Elementary Secondary Education

Braun, Henry I. – Journal of Educational Measurement, 1988
A new approach to the quantification and interpretation of change when only repeated cross-sectional data are available--the Trajectory Analysis of Matched Percentiles--is presented. A recent attempt to interpret the findings on reading achievement of the National Assessment of Educational Progress is critically analyzed. (SLD)
Descriptors: Academic Achievement, Achievement Tests, Data Collection, Data Interpretation