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Lessons Learned from the Use of Randomized and Quasi-Experimental Field Designs for the Evaluation of Educational Programs
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Rudd, Andy; Johnson, R. Burke – Studies in Educational Evaluation, 2008
As a result of the federal No Child Left Behind Act (NCLB) of 2002, the field of education has seen a heavy emphasis on the use of "scientifically based research" for designing and testing the effectiveness of new and existing educational programs. According to NCLB, when addressing basic cause and effect questions scientifically based…
Descriptors: Quasiexperimental Design, Scientific Research, Educational Research, Federal Legislation
Applicability of Multiple Matrix Sampling to Estimating Effectiveness of Educational Programs.
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Shoemaker, David M.; Shoemaker, Judith Sauls – Evaluation and Program Planning: An International Journal, 1981
When evaluating the effectiveness of an educational program, multiple matrix sampling is particularly effective and efficient when the goal of the evaluation is estimating group (as opposed to individual) performance. The technique is described in some detail, with its advantages and disadvantages, and examples of its application are given.…
Descriptors: Educational Assessment, Evaluation Methods, Item Sampling, Program Effectiveness
Two Approaches to Criterion-Referenced Program Assessment.
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Haladyna, Tom – Educational Leadership, 1982
Describes two types of criterion-referenced testing that districts can use to measure achievement outcomes of their instructional programs: a random sampling assessment plan and an item-response theory assessment plan. (Author/JM)
Descriptors: Behavioral Objectives, Criterion Referenced Tests, Elementary Secondary Education, Item Sampling
Evaluation of Implied Orders as a Basis for Tailored Testing with Simulation Data.
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Cliff, Norman; And Others – Applied Psychological Measurement, 1979
Monte Carlo research with TAILOR, a program using implied orders as a basis for tailored testing, is reported. TAILOR typically required about half the available items to estimate, for each simulated examinee, the responses on the remainder. (Author/CTM)
Descriptors: Adaptive Testing, Computer Programs, Item Sampling, Nonparametric Statistics