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Direct linkHoadley, Ursula; Muller, Johan – Curriculum Journal, 2016
Why has large-scale standardised testing attracted such a bad press? Why has pedagogic benefit to be derived from test results been downplayed? The paper investigates this question by first surveying the pros and cons of testing in the literature, and goes on to examine educators' responses to standardised, large-scale tests in a sample of low…
Descriptors: Foreign Countries, Standardized Tests, Developing Nations, Visual Discrimination
Sparfeldt, Jorn R.; Kimmel, Rumena; Lowenkamp, Lena; Steingraber, Antje; Rost, Detlef H. – Educational Assessment, 2012
Multiple-choice (MC) reading comprehension test items comprise three components: text passage, questions about the text, and MC answers. The construct validity of this format has been repeatedly criticized. In three between-subjects experiments, fourth graders (N[subscript 1] = 230, N[subscript 2] = 340, N[subscript 3] = 194) worked on three…
Descriptors: Test Items, Reading Comprehension, Construct Validity, Grade 4
Download full textFoy, Pierre, Ed.; Arora, Alka, Ed.; Stanco, Gabrielle M., Ed. – International Association for the Evaluation of Educational Achievement, 2013
The TIMSS 2011 International Database includes data for all questionnaires administered as part of the TIMSS 2011 assessment. This supplement contains the international version of the TIMSS 2011 background questionnaires and curriculum questionnaires in the following 10 sections: (1) Fourth Grade Student Questionnaire; (2) Fourth Grade Home…
Descriptors: Background, Questionnaires, Test Items, Grade 4
Wang, Jianjun – School Science and Mathematics, 2011
As the largest international study ever taken in history, the Trend in Mathematics and Science Study (TIMSS) has been held as a benchmark to measure U.S. student performance in the global context. In-depth analyses of the TIMSS project are conducted in this study to examine key issues of the comparative investigation: (1) item flaws in mathematics…
Descriptors: Test Items, Figurative Language, Item Response Theory, Benchmarking
