What Responses to Domain-Specific Analogy Problems Reveal about Emerging Competence: A New Perspective on an Old Acquaintance

Journal of Educational Psychology

Volumn 90, Issue 3, 1998, Pages 397-406

  Alexander, Patricia A ^a   Murphy, P Karen ^b   Kulikowich, Jonna M ^b  

^a UNIVERSITY OF MARYLAND   (United States)

^b NONE

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0032388577     PISSN: 00220663     EISSN: None     Source Type: Journal    
DOI: 10.1037/0022-0663.90.3.397     Document Type: Article

References (48)

1. Alexander, P. A. (1990, April). Categorizing learner responses on domain-specific analogy tests: A case for error analysis. Paper presented at the annual meeting of the American Educational Research Association, Boston.
2. Alexander, P. A. (1992). Domain knowledge: Evolving themes and emerging concerns. Educational Psychologist, 27, 33-51.
3. Alexander, P. A. (1997). Mapping the multidimensional nature of domain learning: The interplay of cognitive, motivational, and strategic forces. In P. R. Pintrich & M. L. Maehr (Eds.), Advances in motivation and achievement (Vol. 10, pp. 213-250). Greenwich, CT: JAI Press.
4. Alexander, P. A., Jetton, T. L., & Kulikowich, J. M. (1995). The interrelationship of knowledge, interest, and recall: Assessing a model of domain learning. Journal of Educational Psychology, 87, 559-575.
5. Alexander, P. A., & Kulikowich, J. M. (1991). Domain-specific and strategic knowledge as predictors of expository text comprehension. Journal of Reading Behavior, 23, 165-190.
6. Alexander, P. A., Murphy, P. K., Woods, B. S., Duhon, K., & Parker, D. (1997). College instruction and concomitant changes in students' knowledge, interest, and strategy use: A study of domain learning. Contemporary Educational Psychology, 22, 125-146.
7. Alexander, P. A., Pate, P. E., Kulikowich, J. M., Farrell, D. M., & Wright, N. L. (1989). Domain-specific and strategic knowledge: Effects of training on students of differing ages or competence levels. Learning and Individual Differences, 1, 283-325.
8. Alexander, P. A., Willson, V. L., White, C. S., & Fuqua, J. D. (1987). Analogical reasoning in young children. Journal of Educational Psychology, 79, 401-408.
9. American Psychological Association, Presidential Task Force on Psychology in Education. (1993). Learner-centered psychological principles: Guidelines for school redesign and reform. Washington, DC: Author.
10. Arbuckle, J. L. (1997). AMOS users' guide version 3.6. Chicago: SmallWaters Corporation.
11. Brown, J. S., & Burton, R. R. (1978). Diagnostic models for procedural bugs in basic mathematical skills. Cognitive Science, 2, 155-192.
12. Calfee, R. (1995). Implications of cognitive psychology for authentic assessment and instruction. In T. Oakland & R. K. Hambleton (Eds.), International perspectives on academic assessment (pp. 25-48). Boston: Kluwer.
13. Conover, W. J. (1980). Practical nonparametric statistics (2nd ed.). New York: Wiley.
14. Crisafi, M. A., & Brown, A. L. (1986). Analogical transfer in very young children: Combining two separately learned solutions to reach a goal. Child Development, 57, 953-968.
15. Goetz, E. T., Alexander, P. A., & Ash, M. (1992). Educational psychology: A classroom perspective. Columbus, OH: Charles E. Merrill.
16. Goodman, K. S., & Goodman, Y. M. (1977). Learning about psycholinguistic processes by analyzing oral reading. Harvard Educational Review, 47, 317-333.
17. Goswami, U. (1992a). Analogical reasoning and conceptual complexity in cognitive development: A commentary. Human Development, 35, 222-225.
18. Goswami, U. (1992b). Analogical reasoning in children. Hove, UK: Erlbaum.
19. Goswami, U., & Brown, A. L. (1989). Melting chocolate and melting snowmen: Analogical reasoning and causal relations. Cognition, 35, 69-95.
20. Guttman, L., & Schlesinger, I. M. (1967). Systematic construction of distracters for ability and achievement test items. Educational and Psychological Measurement, 27, 569-580.
21. Hall, R. J., Gerber, M. M., & Stricker, A. G. (1989). Cognitive training: Implications for spelling instruction. In J. N. Hughes & R. J. Hall (Eds.), Cognitive-behavioral psychology in the schools (pp. 347-388). New York: Guilford Press.
22. Hambleton, R. K., & Swaminathan, H. (1985). Item response theory: Principles and applications. Boston: Kluwer.
23. Kelderman, H. (1996). Multidimensional Rasch models for partial-credit scoring. Applied Psychological Measurement, 20, 155-168.
24. Klix, F. (1992). Higher order learning mechanisms in knowledge domain. Zeitschrift fur Psychologie, 200, 91-103.
25. Kulikowich, J. M. (1991). Application of latent trait and multidimensional scaling models to cognitive domain-specific tests. Unpublished doctoral dissertation, College Station: Texas A&M University.
26. Kulikowich, J. M., & Alexander, P. A. (1990). The effects of gender, ability, and grade on analogy performance. Contemporary Educational Psychology, 15, 364-377.
27. Kulikowich, J. M., & Alexander, P. A. (1994). Evaluating students' errors on cognitive tasks: Applications of polytomous item response theory and log-linear modeling. In C. R. Reynolds (Ed.), Cognitive assessment: A multidisciplinary perspective (pp. 137-154). New York: Plenum.
28. Lane, S., Stone, C. A., Ankenmann, R. D., & Liu, M. (1995). Examination of assumptions and properties of the graded item response model: An example using a mathematics performance assessment. Applied Measurement in Education, 8, 313-340.
29. Levin, J. R., Carney, R. N., & Pressley, M. (1988). Facilitating vocabulary inferring through root-word instruction. Contemporary Educational Psychology, 13, 316-322.
30. Linacre, J. M. (1996). A user's guide to FACETS. Chicago: MESA Press.
31. Linn, R. L. (1994). Performance assessment: Policy promises and technical measurement standards. Educational Researcher, 24(10), 4-14.
32. Linn, R. L. (1995). High-stakes uses of performance-based assessments: Rationale, examples, and problems of comparability. In T. Oakland & R. K. Hambleton (Eds.), Instructional perspectives on academic assessment (pp. 49-73). Boston: Kluwer.
33. Masters, G. M. (1982). A Rasch model for partial credit scoring. Psychometrika, 47, 149-174.
34. Murphy, P. K., & Alexander, P. A. (1998). Using the Learning and Study Strategies Inventory - High School version with Singaporean females: Examining psychometric properties. Educational and Psychological Measurement, 58, 493-510.
35. Raven, J. C. (1958). Advanced progressive matrices: Set I. London: H. K. Lewis.
36. Raven, J. C. (1962). Advanced progressive matrices: Set II. London: H. K. Lewis.
37. Rencher, A. C. (1992). Interpretation of canonical discriminant functions, canonical variates, and principal components. The American Statistician, 46, 217-225.
38. Smith, R. M. (1987). Assessing partial knowledge in vocabulary. Journal of Educational Measurement, 24, 217-231.
39. Sternberg, R. J. (1977). Intelligence, information processing, and analogical reasoning: The componential analysis of human abilities. Hillsdale, NJ: Erlbaum.
40. Sternberg, R. J. (1981). Intelligence and nonentrenchment. Journal of Educational Psychology, 73, 1-16.
41. Sternberg, R. J., & Rifkin, B. (1979). The development of analogical reasoning processes. Journal of Experimental Child Psychology, 27, 195-232.
42. Stewart, D. K., & Love, W. A. (1968). A general canonical correlation index. Psychological Bulletin, 70, 160-163.
43. Tatsuoka, K. K., & Tatsuoka, M. M. (1987). Bug distribution and statistical pattern classification. Psychometrika, 52, 193-206.
44. Thissen, D. M. (1976). Information in wrong responses to the Raven Progressive Matrices. Journal of Educational Measurement, 13, 201-214.
45. White, C. S. (1989). Vocabulary knowledge and geometric analogy reasoning: Nature and degree of relationship. In S. McCormick & J. Zutell (Eds.), Cognitive and social perspectives for literacy research and instruction: Thirty-eighth yearbook of the National Reading Conference (pp. 189-196). Chicago: National Reading Conference.
46. White, C. S., & Alexander, P. A. (1986). Effects of training on four-year-olds' ability to solve geometric analogy problems. Cognition and Instruction, 3, 261-268.
47. Whitely, S. E., & Barnes, M. (1979). The implications of processing event sequences for theories of analogical reasoning. Memory and Cognition, 7, 323-331.
48. Wright, B. D., & Masters, G. N. (1982). Rating scale analysis: Rasch measurement. Chicago: MESA Press.