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van Laar, Saskia; Braeken, Johan – Journal of Educational Measurement, 2022
The low-stakes character of international large-scale educational assessments implies that a participating student might at times provide unrelated answers as if s/he was not even reading the items and choosing a response option randomly throughout. Depending on the severity of this invalid response behavior, interpretations of the assessment…
Descriptors: Achievement Tests, Elementary Secondary Education, International Assessment, Foreign Countries
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Shear, Benjamin R. – Journal of Educational Measurement, 2023
Large-scale standardized tests are regularly used to measure student achievement overall and for student subgroups. These uses assume tests provide comparable measures of outcomes across student subgroups, but prior research suggests score comparisons across gender groups may be complicated by the type of test items used. This paper presents…
Descriptors: Gender Bias, Item Analysis, Test Items, Achievement Tests
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Brückner, Sebastian; Pellegrino, James W. – Journal of Educational Measurement, 2016
The Standards for Educational and Psychological Testing indicate that validation of assessments should include analyses of participants' response processes. However, such analyses typically are conducted only to supplement quantitative field studies with qualitative data, and seldom are such data connected to quantitative data on student or item…
Descriptors: Hierarchical Linear Modeling, Test Validity, Statistical Analysis, College Students
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Crocker, Linda; And Others – Journal of Educational Measurement, 1988
Using generalizability theory as a framework, the problem of assessing the content validity of standardized achievement tests is considered. Four designs to assess test-item fit to a curriculum are described, and procedures for determining the optimal number of raters and schools in a content-validation decision-making study are considered. (TJH)
Descriptors: Achievement Tests, Content Validity, Decision Making, Elementary Education
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Washington, William N.; Godfrey, R. Richard – Journal of Educational Measurement, 1974
Item statistics between illustrated and written items drawn from the same content areas were compared using F ratios. The results indicated: that illustrated items performed slightly better than matched written items; and that the best performing category of illustrated items was tables. (Author/BB)
Descriptors: Achievement Tests, Illustrations, Test Construction, Test Items
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Grier, J. Brown – Journal of Educational Measurement, 1975
The expected reliability of a multiple choice test is maximized by the use of three alternative items. (Author)
Descriptors: Achievement Tests, Multiple Choice Tests, Test Construction, Test Reliability
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Wise, Steven L.; DeMars, Christine E. – Journal of Educational Measurement, 2006
The validity of inferences based on achievement test scores is dependent on the amount of effort that examinees put forth while taking the test. With low-stakes tests, for which this problem is particularly prevalent, there is a consequent need for psychometric models that can take into account differing levels of examinee effort. This article…
Descriptors: Guessing (Tests), Psychometrics, Inferences, Reaction Time
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Schmidt, William H. – Journal of Educational Measurement, 1983
A conception of invalidity as bias is related to content validity for standardized achievement tests. A method of estimating content bias for each of three content domains (a priori, curricular, and instructional) based on the specification of a content taxonomy is also proposed. (Author/CM)
Descriptors: Achievement Tests, Content Analysis, Evaluation Methods, Instruction
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Wardrop, James L.; And Others – Journal of Educational Measurement, 1982
A structure for describing different approaches to testing is generated by identifying five dimensions along which tests differ: test uses, item generation, item revision, assessment of precision, and validation. These dimensions are used to profile tests of reading comprehension. Only norm-referenced achievement tests had an inference system…
Descriptors: Achievement Tests, Comparative Analysis, Educational Testing, Models
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Shavelson, Richard J.; Stanton, George C. – Journal of Educational Measurement, 1975
Investigates the convergence of three measures on a representation of cognitive structure and examines the correspondence between these representations and the representation of subject matter structure. (Author/DEP)
Descriptors: Achievement Tests, Cognitive Development, Learning Processes, Literature Reviews
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Frisbee, David A. – Journal of Educational Measurement, 1973
The purpose of this study was to gather empirical evidence to compare the reliabilities and concurrent validities of multiple choice and true-false tests that were written to measure understandings and relationships in the same content areas. (Author)
Descriptors: Achievement Tests, Correlation, High School Students, Measurement
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Haertel, Edward; Calfee, Robert – Journal of Educational Measurement, 1983
The history of the relation between achievement tests and curriculum programs is reviewed, and it is concluded that content specialists are best qualified as sources of curricular goals to specify content, kinds of attainment, and standards. The specification of instructional intents is also considered from the perspective of modern cognition…
Descriptors: Achievement Tests, Cognitive Processes, Curriculum, Instructional Development
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Airasian, Peter W. – Journal of Educational Measurement, 1985
The Stanford Achievement Test Forms E and F were judged to be one of the best achievement batteries for assessing basic skills taught in grades one through nine. The test publisher provides several booklets in addition to the administration manual. These include the Norms Booklet, Handbook of Instructional Strategies, and Guide to Classroom…
Descriptors: Academic Achievement, Achievement Rating, Achievement Tests, Elementary Secondary Education
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Hanna, Gila – Journal of Educational Measurement, 1984
The validity of a comparison of mean test scores for two groups and of a longitudinal comparison of means within each group is assessed. Using LISREL, factor analyses are used to test the hypotheses of similar factor patterns, equal units of measurement, and equal measurement accuracy between groups and across time. (Author/DWH)
Descriptors: Achievement Tests, Comparative Analysis, Data Analysis, Factor Analysis
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McMorris, Robert F.; And Others – Journal of Educational Measurement, 1972
In general, faults did make the items easier, with the largest effects occurring for cue and grammar contaminations. (Authors)
Descriptors: Achievement Tests, Grade 11, Item Analysis, Social Studies
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