Skip to main content

Student-Problem Chart: An Essential Tool for SLOA

  • Chapter
  • First Online:
  • 2043 Accesses

Part of the book series: Education in the Asia-Pacific Region: Issues, Concerns and Prospects ((EDAP,volume 18))

Abstract

This chapter introduces the concepts of the student-problem chart (SP chart) as a tool to support implementation of assessment for learning. In essence, the SP chart is a matrix of students’ responses against set items in an assessment where the rows are rearranged in descending order of student ability from the top of the matrix and the columns in ascending order of item difficulty from the left. Using the assumption that a more able student is more likely than a less able student to answer any item correctly and that an easier item is more likely to be answered correctly than a more difficult item by any student, modified caution indices can be computed to reflect the extent to which the student and item response patterns deviate from the expected pattern. The SP Xpress software outputs the SP chart, the modified caution indices, and other statistics to support teachers in diagnostic assessment for enhanced student learning.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  • Black, P., & Wiliam, D. (1998). Inside the black box: Raising standards through classroom assessment. London: GL Assessment.

    Google Scholar 

  • Black, P., & Wiliam, D. (2009). Developing the theory of formative assessment. Educational Assessment, Evaluation and Accountability, 21, 5–31.

    Article  Google Scholar 

  • Chacko, I. (1998). S-P chart and instructional decisions in the classroom. International Journal of Mathematical Education in Science & Technology, 29(3), 445–450.

    Google Scholar 

  • Connell, M., & Harnisch, D. (2004). SP charts: Creating a longitudinal view of a technology enabled intervention. In C. Crawford, D. Willis, R. Carlsen, I. Gibson, K. McFerrin, J. Price, & R. Weber (Eds.), Proceedings of Society for Information Technology and Teacher Education international conference 2004 (pp. 951–954). Chesapeake: AACE.

    Google Scholar 

  • Dai, C., Cheng, J., & Hsu, Y. (2005). The new meaning of S-P Chart. In P. Kommers & G. Richards (Eds.), Proceedings of world conference on educational multimedia, hypermedia and telecommunications 2005 (pp. 3074–3079). Chesapeake: AACE.

    Google Scholar 

  • de la Torre, J. (2012). Application of the DINA model framework to enhance assessment and learning. In M. M. C. Mok (Ed.), Self-directed learning oriented assessment in the Asia-Pacific. Dordrecht: Springer.

    Google Scholar 

  • Dinero, T. E., & Blixt, S. L. (1988). Information about tests from Sato’s S-P Chart. College Teaching Journal, 36(3), 123–128.

    Article  Google Scholar 

  • Guttman, L. (1950). The basis for scalogram analysis. In S. A. Stouffer (Ed.), Measurement and prediction (The American Soldier, Vol. IV). New York: Wiley.

    Google Scholar 

  • Harnisch, D. L. (1981). Analysis of item response patterns: Consistency indices and their application to criterion referenced tests (ERIC Document Reproduction Service No. ED 209335).

    Google Scholar 

  • Harnisch, D. L. (1983). Item response patterns: Applications for educational practice. Journal of Educational Measurement, 20(2), 191–206.

    Article  Google Scholar 

  • Harnisch, D. L., & Linn, R. L. (1981). Analysis of item patterns: Questionable test data and dissimilar curriculum practices. Journal of Educational Measurement, 18(3), 133–46.

    Article  Google Scholar 

  • Harnisch, D. L., & Romy, N. (1985). SPP: Student problem package on the IBM-PC. User’s guide, version 1.0. Champaign: Office of Educational Testing, Research, and Service/University of Illinois at Urbana-Champaign.

    Google Scholar 

  • Hattie, J., & Timperley, H. (2007). The power of feedback. Review of Educational Research, 77(1), 81–112.

    Article  Google Scholar 

  • Ho, C. M., Leung, A. W. C., Mok, M. M. C., & Cheung, P. (2012). Informing learning and teaching using feedback from assessment data: Hong Kong Teachers’ attitudes towards Rasch measurement. In M. M. C. Mok (Ed.), Self-directed learning oriented assessments in the Asia-Pacific. Dordrecht: Springer.

    Google Scholar 

  • Linn, R. L., & Harnisch, D. L. (1981). Interactions between item content and group membership on achievement test items. Journal of Educational Measurement, 18(2), 109–18.

    Article  Google Scholar 

  • Mok, M. M. C. (2010). Self-directed learning oriented assessment: Assessment that informs learning & empowers the learner. Hong Kong: Pace Publications Ltd.

    Google Scholar 

  • Mok, M. M. C., Ting, Y. C., Ho, P. H. S., Wong, M. Y. W., Tse, L. C. N., Xu, J. K., & Yao, J.-J. (2011). (In Chinese: 莫慕貞、丁彥銓、何昊璇、黃英華、謝棹南、徐坤、姚靜靜 (2011) 。優化學習導向評估之SP Xpress 2.2。Hong Kong: Pace Publications Ltd.)

    Google Scholar 

  • Ngan M. Y. (2011). (In Chinese: 顏明仁(2011) 。第八章:試題分析(二)。促進學生學習的當代教育評估理論與實踐。香港:培生教育出版南亞洲有限剬司。)

    Google Scholar 

  • Sato, T. (1980). The S-P chart and caution index. In NEC Educational Information Bulletin, 80–1. C&C Systems Research Laboratories, Nippon Eletric Co. Ltd, Takatsu-Ku Kawasaki City, Kanagawa Prefecture 213, Japan.

    Google Scholar 

  • Sato, T. (1984). The state of art on S-P analysis activities in Japan. C & C System Research Labs, Nippon Electric Co. Ltd, Takatsu-Ku Kawasaki City, Kanagawa Prefecture 213, Japan.

    Google Scholar 

  • Sato, T. (1985). Introduction to student-problem curve theory analysis and evaluation. Tokyo: Meiji Tosho.

    Google Scholar 

  • Shute, V. J. (2008). Focus on formative feedback. Review of Educational Research, 78(1), 153–189.

    Article  Google Scholar 

  • Tam, H. P., Wu, M., Lau, D. C. H., & Mok, M. M. C. (2012). Using user-defined fit statistic to analyze two tier items in mathematics. In M. M. C. Mok (Ed.), Self-directed learning oriented assessment in the Asia-Pacific. Dordrecht: Springer.

    Google Scholar 

  • Tatsuoka, K. K. (1984). Caution indices based on item response theory. Psychometrika, 49(1), 95–110.

    Article  Google Scholar 

  • Tzuriel, D. (2012). Dynamic assessment of learning potential. In M. M. C. Mok (Ed.), Self-directed learning oriented assessment in the Asia-Pacific. Dordrecht: Springer.

    Google Scholar 

  • Wu, M. (2012). Using item response theory as a tool in educational measurement. In M. M. C. Mok (Ed.), Self-directed learning oriented assessment in the Asia-Pacific. Dordrecht: Springer.

    Google Scholar 

  • Yu M. N. (2002). (In Chinese: 余民寧(2002) 。第八章:學生問題表分析。《教育測驗與評量:成就測驗與教學評量》。台北市:心理出版社股份有限剬司。頁325–369。)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Magdalena Mo Ching Mok .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer Science+Business Media Dordrecht

About this chapter

Cite this chapter

Mok, M.M.C. et al. (2012). Student-Problem Chart: An Essential Tool for SLOA. In: Mok, M. (eds) Self-directed Learning Oriented Assessments in the Asia-Pacific. Education in the Asia-Pacific Region: Issues, Concerns and Prospects, vol 18. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-4507-0_11

Download citation

Publish with us

Policies and ethics