Lenhard, Alexandra and Lenhard, Wolfgang and Suggate, Sebastian and Segerer, Robin (2018) A Continuous Solution to the Norming Problem. ASSESSMENT, 25 (1). pp. 112-125. ISSN 1073-1911, 1552-3489
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Conventional methods for producing test norms are often plagued with jumps or gaps (i.e., discontinuities) in norm tables and low confidence for assessing extreme scores. We propose a new approach for producing continuous test norms to address these problems that also has the added advantage of not requiring assumptions about the distribution of the raw data: Norm values are established from raw data by modeling the latter ones as a function of both percentile scores and an explanatory variable (e.g., age). The proposed method appears to minimize bias arising from sampling and measurement error, while handling marked deviations from normalitysuch as are commonplace in clinical samples. In addition to step-by-step instructions in how to apply this method, we demonstrate its advantages over conventional discrete norming procedures using norming data from two different psychometric tests, employing either age norms (N = 3,555) or grade norms (N = 1,400).
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | CENTILE CURVES; WAIS-R; MODEL; continuous norming; data smoothing; curve fitting; norm scores; norm generation |
| Subjects: | 300 Social sciences > 370 Education |
| Divisions: | Psychology and Pedagogy > Institut für Pädagogik Psychology and Pedagogy > Institut für Pädagogik > Lehrstuhl für Schulpädagogik (Prof. Dr. Heidrun Stöger) |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 20 Mar 2020 06:41 |
| Last Modified: | 20 Mar 2020 06:41 |
| URI: | https://pred.uni-regensburg.de/id/eprint/15248 |
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