Parallel Merit Reliability [microform] : Error of Measurement from a Single Test Administration / Ivan A. Stuck
- Bib ID:
- 5520837
- Format:
- Book and Microform
- Author:
- Stuck, Ivan A
- Description:
-
- [Washington, D.C.] : Distributed by ERIC Clearinghouse, 1990
- 18 p.
- Summary:
-
Parallel merit reliability (PMR) indexes the same consistency of measurement that is reflected in a validity coefficient; it reflects the reliability of measurement across identical merit score cases. Research has identified the potential benefits of the PMR approach as providing item level and cut-score reliability indices without requiring multiple administrations of the same test. Disadvantages of this type of reliability include: the need for a set of merit scores in addition to the item or interval scores; low magnitude coefficients; coefficients that are sensitive to the scale of the merit score; and the potential for artifactual bias when the merit intervals are too broad or of unequal discrimination. Computation of a parallel merit coefficient can be problematic if merit interval means are used as true score estimates. Means may be non-linear, single-case intervals may inflate the variance of means, and data processing may be awkward. However, by assuming linear relations between merit and item score, use of a regression approach may be justified, thereby, avoiding some problems associated with the use of interval means. A five-step process was used to investigate this approach to PMR. Two types of reliability coefficients were computed--parallel merit and coefficients representing coefficients of stability--for a real data set (high school graduation competency test data for 319 students in the 1988-89 school year) and a simulated data set (1,000 abilities generated to respond to 250 items ranging from the least to greatest ability level). Under the procedures presented, merit interval means were often non-linear and non-representative due to the number of interval cases. This preliminary effort to explore the usefulness of PMR lacked a credible set of real data. Future analysis should include a real data set having cases that match on pretest, posttest, and achievement test scores. Four data tables and three graphs are provided. (Author/RLC)
- Notes:
-
- ERIC Note: Paper presented at the Annual Meeting of the National Council on Measurement in Education (Boston, MA, April 17-19, 1990).
- May also be available online. Address as at 14/8/18: https://eric.ed.gov/
- Reproduction:
- Microfiche. [Washington D.C.]: ERIC Clearinghouse microfiches : positive.
- Subject:
- Available From:
- ERIC
- Copyright:
-
In Copyright
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Copyright status was determined using the following information:
- Material type:
- Literary Dramatic Musical
- Published status:
- Published
- Publication date:
- 1990
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