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Rasch Measurement Applied to Young Children

Published online by Cambridge University Press:  29 October 2015

Beth Hands*
Affiliation:
The University of Western Australia
Dawne Larkin
Affiliation:
The University of Western Australia
Barry Sheridan
Affiliation:
Edith Cowan University
*
Department of Human Movement, University of Western Australia, Nedlands WA 6907, Ph: (09) 380 2361, Fax: (09) 380 1039, E-mail: bhands@cygnus.uwa.edu.au
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Abstract

Most popular tests of motor proficiency have been developed using classical test theory. Recently, item response theory (IRT) has been used to address some of the difficulties inherent with these traditional psychometric approaches. This paper focuses on the application of IRT in the psychomotor domain where analyses involving both dichotomous (Cole, Wood, & Dunn, 1991; Werder & Bruininks, 1988) and polytomous criterion referenced measurements (Puderbaugh & Fisher, 1992) have met with equivocal results. The application of the method to quantitative data has to date proved challenging. An example reported here is based on outcome measures used in the development of a test of movement skills for children aged 5 and 6 years. The results appear very promising, but some caution is required in interpreting results.

Type
Research Article
Copyright
Copyright © Australian Psychological Society 1997

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References

REFERENCES

Andrich, D. (1988a). Distinctions between assumptions and requirements in measurement in the social sciences. In Keats, J.A., Taft, R., Heath, R.A., & Lovibond, S.H. (Eds.), Mathematical and theoretical systems (pp. 115). Amsterdam: North-Holland.Google Scholar
Andrich, D. (1988b). A general form of Rasch’s extended logistic model for partial credit scoring. Applied Measurement in Education, 7(4), 363378.CrossRefGoogle Scholar
Andrich, D., & Sheridan, B., & Luo, G. (1996). RUMM (Version 2.6) [Computer software: A Windows program for analysing item response data according to Rasch Unidimensional Measurement Models]. Perth: Measurement Assessment and Evaluation Laboratory, Edith Cowan University.Google Scholar
Campbell, S.KOsten, E.T., Kolobe, T.H. A., & Fisher, A.G. (1993). Development of the test of infant motor performance. Physical Medicine and Rehabilitation Clinics of North America, 4(3), 541550.CrossRefGoogle Scholar
Clark, J.E., & Watkins, D.L. (1984). Static balance in young children. Child Development, 55, 854857.CrossRefGoogle Scholar
Cole, E., Wood, T.M., & Dunn, J.M. (1991). Item response theory: A useful test theory for adapted physical education. Adapted Physical Activity Quarterly, 5,317332.CrossRefGoogle Scholar
Davis, W.E. (1984). Motor ability assessment of populations with handicapping conditions: Challenging basic assumptions. Adapted Physical Activity Quarterly, 7, 125140.CrossRefGoogle Scholar
DeOreo, K., & Keogh, J. (1980). Performance in fundamental motor tasks. In Corbin, C.B. (Ed.), A textbook of motor development (pp. 3456). Dubuque, IA: Brown.Google Scholar
Department of Education. (1996). Fundamental motor skills: A manual for classroom teachers. Victoria, Australia: Department of Education.Google Scholar
Fisher, A.G. (1993). The assessment of IADL motor skills: An application of many-faceted Rasch analysis. The American Journal of Occupational Therapy, 47(4), 319329.CrossRefGoogle ScholarPubMed
Garwood, S. (1982). (Mis)use of developmental scales in program evaluation. Topics in Early Childhood Special Education, 7(4), 6169.CrossRefGoogle Scholar
Glass, G.V. (1978). Standards and criteria. Journal of Educational Measurement, 75(4), 237261.CrossRefGoogle Scholar
Gutteridge, M. (1939). A study of motor achievements of young children. Archives of Psychology, 244, 1178.Google Scholar
Hands, B., & Larkin, D. (in press). Gender bias in measurement of children’s motor skills. The ACHPER Healthy Lifestyles Journal.Google Scholar
Haubenstricker, J., & Seefeldt, V. (1986). Acquisition of motor skills during childhood. In Seefeldt, V. (Ed.), Physical activity and well being. Reston, VA: AAHPER.Google Scholar
Henderson, S.E. (1987). The assessment of “clumsy” children: Old and new approaches. Journal of Child Psychology and Psychiatry, 25(4), 511527.CrossRefGoogle Scholar
Henry, F.M. (1968). Specificity vs. generality in learning motor skill. In Brown, R.C. & Kenyon, G.S. (Eds.), Classical studies on physical activity (pp. 328331). Englewood Cliffs, NJ: Prentice Hall.Google Scholar
Jenkins, L.M. (1930). A comparative study of motor achievements of children of five, six, and seven years of age. New York: Teachers College, Columbia University.Google Scholar
Keogh, J. (1968). Incidence and severity of awkwardness among regular school boys and educationally subnormal boys. Research Quarterly, 39, 806808.Google Scholar
Keogh, J., Sugden, D., Reynard, C, & Calkins, J. (1979). Identification of clumsy children: Comparisons and comments. Journal of Human Movement Studies, 5, 3241.Google Scholar
Larkin, D., & Hoare, D. (1991). Out of step: Coordinating kids’ movement. Nedlands, WA: Active Life Foundation.Google Scholar
Laszlo, J., & Bairstow, P. (1985). Perceptual-motor behaviour: Developmental assessment and therapy. New York: Praeger Publishers.Google Scholar
Ludlow, L., Haley, S., & Gans, B. (1992). A hierarchical model of functional performance in rehabilitation medicine. Evaluation and the Health Professions, 75(4), 5974.CrossRefGoogle Scholar
Maeland, A.F. (1992). Identification of children with motor coordination problems. Adapted Physical Activity Quarterly, 9, 330342.CrossRefGoogle Scholar
Milne, C, Seefeldt, V, & Reuschlein, P. (1976). Relationship between grade, sex, race, and motor performance. Research Quarterly, 47(4), 726730.Google ScholarPubMed
Morris, A., Williams, J., Atwater, A., & Wilmore, J. (1982). Age and sex differences in motor performances of 3 through 6 year old children. Research Quarterly for Exercise and Sport, 55(3), 214221.CrossRefGoogle Scholar
Plimpton, C.E., & Regimbai, C. (1992). Differences in motor proficiency according to gender and race. Perceptual and Motor Skills, 74,399402.CrossRefGoogle Scholar
Puderbaugh, J.K., & Fisher, A.G. (1992). Assessment of motor and process skills in normal young children and children with dyspraxia. The Occupational Therapy Journal of Research, 72(4), 195216.CrossRefGoogle Scholar
Rasch, G. (1960/1980). Probabilistic models for some intelligence and attainment tests (Expanded ed.). Chicago: University of Chicago.Google Scholar
Raudsepp, L., & Paasuke, M. (1995). Gender differences in fundamental movement patterns, motor performances, and strength measurements in pre-pubertal children. Pediatric Exercise Science, 7, 294304.CrossRefGoogle Scholar
Safrit, M.J. (1987). The applicability of item response theory to tests of motor behaviour. Research Quarterly for Exercise and Sport, 58(3), 213215.CrossRefGoogle Scholar
Safrit, M.J., Zhu, W., Costa, M. Glaucia, & Zhang, L. (1992). The difficulty of sit-ups tests: An empirical investigation. Research Quarterly for Exercise and Sport, 63(3), 277283.CrossRefGoogle ScholarPubMed
Scriven, M. (1978). How to anchor standards. Journal of Educational Measurement, 75(4), 273275.CrossRefGoogle Scholar
Sheridan, B., & Hands, B.P. (1993). Measurement of change in attitude to innovations in teaching using graphical techniques for Rasch measurement (2). Perth: Measurement Assessment and Evaluation Laboratory, Edith Cowan University.Google Scholar
Spray, J.A. (1987). Recent developments in measurement and possible applications to the measurement of psychomotor behavior. Research Quarterly for Exercise and Sport, 58(3), 203209.CrossRefGoogle Scholar
Snyder, S., & Sheehan, R. (1992). The Rasch measurement model: An introduction. Journal of Early Intervention, 16(1), 8795.CrossRefGoogle Scholar
Thomas, J.R., & French, K.E. (1985). Gender differences across age in motor performance: A meta-analysis. Psychological Bulletin, 98(2), 260282.CrossRefGoogle ScholarPubMed
Ulrich, B.D., & Ulrich, B.D. (1985). The role of balancing ability in performance of fundamental motor skills in 3,4, and 5 year old children. In Clark, J.E. & Humphrey, J.H. (Eds.), Motor development and current selected research (Vol. 1, pp. 8797). Princeton, NJ: Princeton Book Company.Google Scholar
Werder, J., & Bruininks, R.H. (1988). Body skills: A motor development curriculum for children. Circle Pines, MN: American Guidance Service.Google Scholar
Werder, J., & Kalakian, L. (1985). Assessment in adapted physical education. Minneapolis, MN: Burgess.Google Scholar
Wickstrom, R.L. (1983). Fundamental motor patterns (3rd ed.). Philadelphia: Lea & Febiger.Google Scholar
Williams, H.G. (1983). Perceptual and motor development. Englewood Cliffs, NJ: Prentice-Hall.Google Scholar
Wilson, J.G., Silva, P.A., & Williams, S.M. (1981). The assessment of motor ability in seven year olds. Journal of Human Movement Studies, 7,221231.Google Scholar
Wright, B.D., & Stone, M.H. (1979). Best test design. Chicago: MESA Press.Google Scholar
Wright, B.D., & Masters, G.N. (1982). Rating scale analysis. Chicago: MESA Press.Google Scholar
Zhu, W., & Cole, E.L. (1996). Many-faceted Rasch calibration of a gross motor instrument. Research Quarterly for Exercise and Sport, 67(1), 2434.CrossRefGoogle ScholarPubMed