Abstract
This chapter builds on the principles taught in Chaps. 1, 2, 3 and 4 to introduce the concept of item measures. The self-efficacy survey is again analyzed using Rasch Winsteps software, and readers are guided through the interpretation of Winsteps item measure output. This chapter also helps readers understand the importance of “item entry number” when interpreting Winsteps tables. The end of the chapter presents the first of many Wright maps which will be discussed in depth in later chapters. This initial presentation helps readers begin to see the importance of Wright maps. The chapter finishes up with a summary discussion between the two students, Keywords and Phrases, Quick Tips, Data Files, References, and Additional Readings. As in almost all chapters, sample analyses are used to reinforce the chapter topic.
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References
Enochs, L. G., & Riggs, I. M. (1990). Further development of an elementary science teaching efficacy belief instrument: A pre-service elementary scale. School Science and Mathematics, 90(8), 694–706.
Additional Readings
Review the discussion in the Winsteps user manual pertaining to Table 14.
Linacre, J. M. (2011). WINSTEPS user manual. Chicago: MESA Press.
This article presents an early Rasch analysis by Boone for a science education rating scale data set in an effort to better understand students’ views toward a science methods curriculum.
Boone, W. J., & Andersen, H. O. (1994). Designing, evaluating, and reacting to a secondary science methods class. Journal of Science Teacher Education, 5(1), 15–22.
An excellent, brief, easy to read article concerning the problems with raw scores.
Wright, B. D. (1993). Thinking with raw scores. Rasch Measurement Transactions, 7(2), 299–300.
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Boone, W.J., Staver, J.R., Yale, M.S. (2014). Item Measures. In: Rasch Analysis in the Human Sciences. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-6857-4_5
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DOI: https://doi.org/10.1007/978-94-007-6857-4_5
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