Journals / International Journal of Assessment Tools in Education / 2017 / Cilt: 4 - Sayı: 2

Using the 2006 PISA Questionaire to Evaluate the Measure of Educational Resources: A Rasch Measurement Approach

Pages
211–222
Publication Date
2022-10-19
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Findings revealed that the PISA 2006 data gave an overall indication of good fit to the model, despite the instrument not separating respondents well.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:School educational resources are key when studying school improvement due to their influence on learning outcomes.
📊
Key Findings & Data:Using the 2006 PISA American sample containing 166 schools, this study aims to validate the 13-item PISA School Educational Resource Scale with Rasch analysis.
💡
Conclusion & Impact:Findings revealed that the PISA 2006 data gave an overall indication of good fit to the model, despite the instrument not separating respondents well.
🔬Design:Modeling & Simulation
📍Scope:2006 Verileri
⚙️Variables:School educational resource · PISA · Rasch rating scale model

Abstract

School educational resources are key when studying school improvement due to their influence on learning outcomes. Because of this, careful attention should be given to the way educational resources are operationalized and measured. Using the 2006 PISA American sample containing 166 schools, this study aims to validate the 13-item PISA School Educational Resource Scale with Rasch analysis. Winsteps software was used in the analysis and results were used to evaluate how well the instrument measured the construct of school educational resource. Findings revealed that the PISA 2006 data gave an overall indication of good fit to the model, despite the instrument not separating respondents well. In regards to the quality of the scale, the majority of items perform consistently with the model. However, for schools above the average educational resource threshold, it appears there is a need for more items to discriminate the situation.

Özet

School educational resources are key when studying school improvement due to their influence on learning outcomes. Because of this, careful attention should be given to the way educational resources are operationalized and measured. Using the 2006 PISA American sample containing 166 schools, this study aims to validate the 13-item PISA School Educational Resource Scale with Rasch analysis. Winsteps software was used in the analysis and results were used to evaluate how well the instrument measured the construct of school educational resource. Findings revealed that the PISA 2006 data gave an overall indication of good fit to the model, despite the instrument not separating respondents well. In regards to the quality of the scale, the majority of items perform consistently with the model. However, for schools above the average educational resource threshold, it appears there is a need for more items to discriminate the situation.

🔖

Cite This Article

SUN, L., YUAN, J., BRADLEY, K., LİU, R. (2022). Using the 2006 PISA Questionaire to Evaluate the Measure of Educational Resources: A Rasch Measurement Approach. International Journal of Assessment Tools in Education, Cilt: 4 - Sayı: 2, 211–222. https://ajindex.com/articles/540255

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (5)

  1. Andrich, D. (1978). A rating formulation for ordered response categories. Psychometrika, 43, 357-74.
  2. Andrich, D. & Luo, G. (2003). Conditional pairwise estimation in the Rasch model for ordered response Categories using principal components. Journal of Applied Measurement, 4(3), 205-221.
  3. Ammermueller, A., Heijke, H., Woessmann, L. (2005). Schooling quality in Eastern Europe: Educational production during transition. Economical Educational Review, 24 (5), 579 599. Bond, T., & Fox, C. (2001). Applying the Rasch model: Fundamental measurement in the human sciences. Mahwah, NJ: Lawrence Erlbaum Associates. Card, D., & Krueger, A. (1996). School resources and student outcomes: An overview of the literature and new evidence from North and South Carolina. Journal of Economic Perspectives. doi: jep.10.4.31 Coleman, J. S., Hoffer, C., & York, R. (1966). The equality of educational opportunity study. Washington, DC: United States Department of Health, Education, and Welfare. Dodson, C. K. (2005). The Relationship between School Effectiveness and Teachers' Job Satisfaction in North Mississippi Schools. Unpublished Doctoral Dissertation, Mississippi University, Oxford. Eliot, M., Cornell, D., Gregory, A., & Fan, X. (2010). Supportive school climate and student willingness to seek help for bullying and threats of violence. Journal of School Psychology, 48, 533-553. doi:10.1016/j.jsp.2010.07.001 Fan, M. (2013). Stability of academic performance across science subjects among Chinese students (Unpublished master’s theses). University of Kentucky, Lexington, KY. Hanushek, E. (1997). Assessing the effects of school resources on student performance: An update. Educational Evaluation and Policy Analysis, 19(2), 141-164. doi:10.2307/1164207 Hanushek, E. A., & Luque, J. A. (2003). Efficiency and equity in schools around the world. Economics of Education Review, 22, 481-502. doi: 10.1016/S0272-7757(03)00038-4
  4. Knoeppel, R. C., Verstegen, D. A., & Rinehart, J. S. (2007). What is the relationship between resources and student achievement: A canonical analysis. Journal of Education Finance, 33(2), 183-202.
  5. Jacob, B. & Ludwig, J. (2008). Improving Educational Outcomes for Poor Children. Cambridge, MA: National Bureau of Economic Research. Johnson, A. D. (2008). The relationships among middle school student and staff perceptions of school effectiveness and student achievement. (Doctoral dissertation). Retrieved from ProQuest Dissertations and Theses. Koth, C., Bradshaw, C., & Leaf, P.