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Chung, Gregory K. W. K.; Herl, Howard E.; Klein, Davina C. D.; O'Neil, Harold F., Jr.; Schacter, John – 1997
This report examines issues in the scale-up of assessment software from the Center for Research on Evaluation, Standards, and Student Testing (CRESST). "Scale-up" is used in a metaphorical sense, meaning adding new assessment tools to CRESST's assessment software. During the past several years, CRESST has been developing and evaluating a…
Descriptors: Computer Assisted Testing, Computer Software, Concept Mapping, Educational Assessment
McLaughlin, Don; Gallagher, Larry; Stancavage, Fran – American Institutes for Research, 2004
With the advent of No Child Left Behind (NCLB), the context for NAEP participation is changing. Whereas in the past participation in NAEP has always been voluntary, participation is now mandatory for some grade and subjects among schools receiving Title I funds. While this will certainly raise school-level participation rates in the mandated…
Descriptors: Federal Legislation, School Districts, Participation, Educational Assessment
Linn, Bob; McLaughlin, Don; Jiang, Tao; Gallagher, Larry – American Institutes for Research, 2004
The purpose of this simulation was to assess the improvements in estimates of standard errors that could be expected if students participating in NAEP were pre-assigned to test booklets that were adapted to their level of performance based on their state assessment scores. Students in extreme quartiles would receive one regular NAEP block and…
Descriptors: Educational Improvement, Educational Assessment, Error of Measurement, Educational Testing
McLaughlin, Donald H.; Scarloss, Beth A.; Stancavage, Frances B.; Blankenship, Charles D. – American Institutes for Research, 2005
A simulation study was conducted to explore the potential of state assessment scores to improve adjustments for nonparticipation (McLaughlin, Gallagher, and Stancavage, 2004). That study found that state assessment scores could potentially be more effective than demographic information in removing the bias related to absences. The present study…
Descriptors: Educational Assessment, Scores, Bias, Attendance