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Sukin, Tia M. – ProQuest LLC, 2010
The presence of outlying anchor items is an issue faced by many testing agencies. The decision to retain or remove an item is a difficult one, especially when the content representation of the anchor set becomes questionable by item removal decisions. Additionally, the reason for the aberrancy is not always clear, and if the performance of the…
Descriptors: Simulation, Science Achievement, Sampling, Data Analysis
Wang, Shudong; Jiao, Hong; Jin, Ying; Thum, Yeow Meng – Online Submission, 2010
The vertical scales of large-scale achievement tests created by using item response theory (IRT) models are mostly based on cluster (or correlated) educational data in which students usually are clustered in certain groups or settings (classrooms or schools). While such application directly violated assumption of independent sample of person in…
Descriptors: Scaling, Achievement Tests, Data Analysis, Item Response Theory
Clauser, Brian E.; Mee, Janet; Baldwin, Su G.; Margolis, Melissa J.; Dillon, Gerard F. – Journal of Educational Measurement, 2009
Although the Angoff procedure is among the most widely used standard setting procedures for tests comprising multiple-choice items, research has shown that subject matter experts have considerable difficulty accurately making the required judgments in the absence of examinee performance data. Some authors have viewed the need to provide…
Descriptors: Standard Setting (Scoring), Program Effectiveness, Expertise, Health Personnel
Peer reviewedAckerman, Terry – Applied Psychological Measurement, 1996
This special issue is devoted to current developments in multidimensional item response theory (MIRT). The six papers included in this issue (and two for the March issue) present applications of MIRT to practical testing problems and demonstrate innovative MIRT techniques for assessment. (SLD)
Descriptors: Data Analysis, Educational Assessment, Educational Testing, Item Response Theory
Peer reviewedShapiro, Edna – School Review, 1973
Author attempts to determine whether testing perpetuates a misevaluation of children's abilities. (Editor/RK)
Descriptors: Classroom Environment, Data Analysis, Educational Testing, Evaluation Criteria
Rudman, Herbert C. – NCME Measurement in Education, 1977
This discussion of educational trends of interest to school superintendents focuses on three issues: (1) the general decline of birth rates, school enrollments, staff, facilities, and expenditures for instruction; (2) the increase in mandated assessments and programs brought on by declining academic performance and political influences; (3) the…
Descriptors: Accountability, Data Analysis, Declining Enrollment, Educational Legislation
HOLTZMAN, PAUL D. – 1967
THE AUTHOR POINTS OUT PROBLEMS IN TEST RESEARCH AND INTERPRETATION, SOME OF WHICH ARE DUE TO CONFLICTS BETWEEN THE FINDINGS OF THE DATA ANALYST WHO IS RESTRICTED TO BASING HIS DECISIONS ON SELECTED DATA ONLY, AND THE TEST INTERPRETER WHO IS AWARE OF VARIABLE VALIDITIES OF SUCH UNTESTED FACTORS AS SITUATIONAL ANXIETY, PERSONALITY, MOTHER-TONGUE…
Descriptors: Data Analysis, Educational Testing, English (Second Language), Factor Analysis
Womer, Frank B. – 1971
This symposium deals with recent issues in the development of the National Assessment model. General goals are outlined and the following topics are discussed: "Objectives and Exercises" (Jack C. Merwin); "Sampling" (A. Finkner); and "Data Analysis" (John Milholland). (CK) Aspect of National Assessment (NAEP) dealt…
Descriptors: Academic Achievement, Conferences, Data Analysis, Demonstration Programs
Cronin, John; Dahlin, Michael; Adkins, Deborah; Kingsbury, G. Gage – Thomas B. Fordham Institute, 2007
At the heart of the No Child Left Behind Act (NCLB) is the call for all students to be "proficient" in reading and mathematics by 2014. Yet the law expects each state to define proficiency as it sees fit and design its own tests. This study investigated three research questions related to this policy: (1) How consistent are various…
Descriptors: Federal Legislation, Mathematics Tests, Test Validity, Reading Tests

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