Skip to main content
Log in

Measuring Parent Receptivity Towards the Classroom Environment Using a Rasch Measurement Model

  • Published:
Learning Environments Research Aims and scope Submit manuscript

Abstract

This study investigated parent-reported receptivity towards the classroom environment and classroom outcomes. Classroom environment was based on a five-aspect model: (1) provision of information from the child; (2) beliefs about the school; (3) provision of information from teachers; (4) teachers' commitment to working with parents; and (5) confidence in communicating with teachers. Classroom outcomes were based on two aspects: (1) educational values (importance of schooling, involved with learning; seeing a future through learning, desire to learn, and importance of learning); and (2) learning outcomes (achieving, and views of child's engagement in school work). For each aspect, items were written in an ordered-by-difficulty pattern so that, for example, Item 2 involved Item 1 and ‘more’, making it conceptually ‘harder’ to agree with Item 2 than with Item 1. There were four Likert response categories (SDA, DA, A, and SA). Using the extended logistic model of Rasch, an interval-level, unidimensional scale was created with item difficulties for classroom environment aspects and classroom outcomes calibrated on the same scale as the receptivity measures. The sample consisted of 518 parents of students from three secondary schools in Western Australia. The item sample was 30. The proportion of observed variance considered true was 0.94. The items for each aspect were found to be ordered from ‘easy’ to ‘hard’ in line with the hypothesised model of receptivity and the data fitted the measurement model well.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

REFERENCES

  • Andrich, D. (1982). Using latent trait measurement to analyse attitudinal data: A synthesis of viewpoints. In D. Spearitt (Ed.), The improvement of measurement in education and psychology (pp. 89-126). Melbourne, Australia: Australian Council for Educational Research.

    Google Scholar 

  • Andrich, D. (1985). A latent trait model for items with response dependencies: Implications for test construction and analysis. In S. E. Embretson (Ed.), Test design: Developments in psychology and psychometrics (pp. 245-275). Orlando, FL: Academic Press.

    Google Scholar 

  • Andrich, D. (1988a). A general form of Rasch's Extended Logistic Model for Partial Credit Scoring. Applied Measurement in Education, 1(4), 363-378.

    Article  Google Scholar 

  • Andrich, D. (1988b). Rasch models for measurement (Sage University paper on quantitative applications in the social sciences, Series number 07/068). Newbury Park, CA: Sage Publications.

    Google Scholar 

  • Andrich, D. (1989). Distinctions between assumptions and requirements in measurement in the social sciences. In J. A. Keats, R. Taft, R. A. Heath, & S. Lovibond (Eds.), Mathematical and theoretical systems (pp. 7-16). Amsterdam: Elsevier Science Publishers.

    Google Scholar 

  • Andrich, D., Sheridan, B., Lyne, A., & Luo, G. (2000). RUMM: A windows-based item analysis program employing Rasch unidimensional measurement models. Perth, Australia: Murdoch University.

    Google Scholar 

  • Andrich, D., & van Schoubroeck, L. (1989). The General Health Questionnaire: A psychometric analysis using latent trait theory. Psychological Medicine, 19, 469-485.

    Article  Google Scholar 

  • Cavanagh, R. F., & Dellar, G. B. (1997, March). Towards a model of school culture. Paper presented at the annual meeting of the American Educational Research Association, Chicago.

  • Cavanagh, R. F., Dellar, G. B., Ellett, C. D., & Rugutt, J. K. (2000, April). Development of an instrument for investigating classroom culture. Paper presented at the annual meeting of the American Educational Research Association, New Orleans, LA.

  • Cavarretta, J. (1998). Parents are a school's best friend. Educational Leadership, 55(8), 12-15.

    Google Scholar 

  • Coleman, P. (1998a). Parent, student and teacher collaboration: The power of three. San Francisco: Corwin Press Inc.

    Google Scholar 

  • Coleman, P. (1998b, April). Triad influence: Shaping student commitment to school. Paper presented at the annual meeting of the American Educational Research Association, San Diego, CA.

  • Curriculum Council of Western Australia. (1998). Curriculum framework. Perth, Australia: Author.

    Google Scholar 

  • Education Department of Western Australia. (1997). Plan for government education 1998-2000. Perth, Australia: Author.

    Google Scholar 

  • Epstein, J. (1992). School and family partnerships. In M. C. Alkin (Ed.), Encyclopaedia of educational research (Vol. 4, pp. 1139-1151). New York: Macmillan.

    Google Scholar 

  • Gettinger, M., & Guetschow, K. W. (1998). Parental involvement in schools: Parent and teacher perceptions of roles, efficacy and opportunities. Journal of Research and Development in Education, 32(1), 38-51.

    Google Scholar 

  • Hobson, P. J. (1979). The Partnership with title I parents. In R. S. Brandt (Ed.), Partners: Parents and schools (pp. 41-45). Alexandria, VA: ASCD.

    Google Scholar 

  • Kellaghan, T., Sloane, K., Alvarez, B., & Bloom, B. (1993). The home environment and schooling learning: Promoting parental involvement in education of children. San Francisco: Jossey-Bass Publishers.

    Google Scholar 

  • Krumm, V. (1996). Parent involvement in Austria and Taiwan: Results of a comparative study. International Journal of Educational Research, 25(1), 9-24.

    Article  Google Scholar 

  • Patrikakou, E. N. (1997). A model of parental attitudes and the academic achievement of adolescents. Journal of Research and Development in Education, 31(1), 7-26.

    Google Scholar 

  • Rasch, G. (1960/1980). Probabilistic models for intelligence and attainment tests (expanded edition). Chicago: The University of Chicago Press (original work published in 1960).

    Google Scholar 

  • Snodgrass, D. M. (1991). The parent connection. Adolescence, 74, 3-17.

    Google Scholar 

  • Stoll, L., & Fink, D. (1996). Changing our schools. Buckingham, UK: Open University Press.

    Google Scholar 

  • Styles, I., & Andrich, D. (1993). Linking the standard and advanced forms of the Raven's Progressive Matrices in both the pencil-and-paper and computer-adaptive testing formats. Educational and Psychological Measurement, 53(4), 905-925.

    Google Scholar 

  • Trusty, J. (1996). Relationship of parental involvement in teens' career development to teens' attitudes, perceptions, and behavior. Journal of Research and Development in Education, 30, 63-69.

    Google Scholar 

  • Trusty, J. (1999). Effect of eighth-grade parental involvement on late adolescents' educational expectations. Journal of Research and Development in Education, 32(4), 224-233.

    Google Scholar 

  • Waugh, R. F. (1999). Approaches to Studying Inventory for students in higher education: A Rasch measurement model analysis. British Journal of Educational Psychology, 69, 63-79.

    Article  Google Scholar 

  • Waugh, R. F. (2000). Self-concept: Multidimensional or multifaceted, unidimensional? Education Research & Perspectives, 27(2), 75-94.

    Google Scholar 

  • Waugh, R. F. (2001). Measuring ideal and real self-concept on the same scale based on a multifaceted, hierarchical model of self-concept. Educational and Psychological Measurement, 61(1), 85-101.

    Article  Google Scholar 

  • Waugh, R. F. (2002). Creating a scale to measure motivation to achieve academically: Linking attitudes and behaviours using Rasch measurement. British Journal of Educational Psychology, 72(1), 65-86.

    Article  Google Scholar 

  • Wright, B. D. (1999). Fundamental measurement for psychology. In S. E. Embretson & S. L. Hershberger (Eds.), The new rules of measurement (pp. 65-104). Mahwah, NJ: Lawrence Erlbaum Associates.

    Google Scholar 

  • Wright, B. D., & Masters, G. N. (1982). Rating scale analysis: Rasch measurement. Chicago: MESA.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Waugh, R.F., Cavanagh, R.F. Measuring Parent Receptivity Towards the Classroom Environment Using a Rasch Measurement Model. Learning Environments Research 5, 329–352 (2002). https://doi.org/10.1023/A:1021928423858

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1021928423858

Navigation