THREE RESPONSE TYPES FOR BROADENING THE CONCEPTION OF MATHEMATICAL PROBLEM SOLVING IN COMPUTERIZED-ADAPTIVE TESTS

ETS Research Report Series

Volumn 1998, Issue 2, 1998, Pages i-37

  Bennett, Randy Elliot ^a   Morley, Mary ^a   Quardt, Dennis ^a  

^a NONE

Author keywords

automated scoring; computer based testing; constructed response; mathematics

Indexed keywords

EID: 85164523791     PISSN: None     EISSN: 23308516     Source Type: Journal    
DOI: 10.1002/j.2333-8504.1998.tb01794.x     Document Type: Article

References (17)

1. Bejar, I. I. (1995). From adaptive testing to automated scoring of architectural simulations. In E. L. Mancall & P. G. Bashook (Ed.), Assessing clinical reasoning: The oral examination and alternative methods (pp. 115–130). Evanston, IL: American Board of Medical Specialties.
2. Bennett, R. E. (1993). On the meanings of constructed response. In R. E. Bennett & W. C. Ward (Eds). Construction vs. choice in cognitive measurement: Issues in constructed response, performance testing, and portfolio assessment (pp. 1–27). Hillsdale, NJ: Lawrence Erlbaum Associates.
3. Bennett, R. E. (1998). Reinventing assessment: Speculations on the future of large-scale educational assessment. Princeton, NJ: Policy Information Center, Educational Testing Service.
4. Bennett, R. E., & Bejar, I. I. (in press). Validity and automated scoring: It's not only the scoring. Educational measurement: Issues and practice.
5. Bennett, R. E., Morley, M., Quardt, D., Singley, M. K., Rock, D. A., Katz, I. R., & Nhouyvanisvong, A. (1998). Psychometric and cognitive functioning of an under-determined computer-based response type for quantitative reasoning (GRE No. 95-11). Princeton, NJ: Educational Testing Service.
6. Bennett, R. E., Steffen, M., Singley, M. K., Morley, M., & Jacquemin, D. (1997). Evaluating an automatically scorable, open-ended response type for measuring mathematical reasoning in computer-adaptive tests. Journal of Educational Measurement, 34, 163–177.
7. Bradlow, E. T., Wainer, H., & Wang, X. (in press). A Bayesian random effects model for testlets. Psychometrika.
8. Braswell, J., & Kupin, J. (1993). Item formats for assessment in mathematics. In R. E. Bennett & W. C. Ward (Eds.), Construction versus choice in cognitive measurement (pp 167–182). Hillsdale, NJ: Erlbaum.
9. Bridgeman, B. (1992). A comparison of quantitative questions in open-ended and multiple-choice formats. Journal of Educational Measurement, 29, 253–271.
10. Clauser, B. E., Ross, L. P., Clyman, S. G., Rose, K. M., Margolis, M. J., Nungester, R. J., Piemme, T. E., Chang, L., El-Bayoumi, G., Malakoff, G. L., & Pincetl, P. S. (1997). Development of a scoring algorithm to replace expert rating for scoring a complex performance-based assessment. Applied Measurement in Education, 10, 345–358.
11. Frederiksen, N. (1984). The real test bias: Influences of testing on teaching and learning. American Psychologist, 39, 193–202.
12. Gallagher, A., & Cahalan, C. (in preparation). Examining the interface of mathematical expression items (RR-xx–xx). Princeton, NJ: Educational Testing Service.
13. Glaser, R. (1991). Expertise and assessment. In M. C. Wittrock & E. L. Baker (Eds.), Testing and cognition (pp. 17–30). Englewood Cliffs, NJ: Prentice-Hall.
14. Marshall, S. (1995). Schemas in problem solving. Cambridge, England: Cambridge University Press.
15. National Council of Teachers of Mathematics (NCTM). (1989). Curriculum and evaluation standards for school mathematics. Reston, VA: National Council of Teachers of Mathematics.
16. Nhouyvanisvong, A., Katz, I. R., & Singley, M. K. (1997, March). Toward a unified model of problem solving in well-determined and under-determined algebra word problems. Paper presented at the annual meeting of the American Educational Research Association, Chicago.
17. Simon, H. (1978). Information-processing theory of human problem solving. In W. K. Estes (Ed.), Handbook of learning and cognitive processes (pp. 271–295). Hillsdale, NJ: Erlbaum.