Standard Score Comparison 2.0: Second-generation learning disability regression software
| Autor: | Larry D. Evans |
|---|---|
| Rok vydání: | 1993 |
| Předmět: |
Measure (data warehouse)
Computer science business.industry Experimental and Cognitive Psychology Standard score Regression Identification (information) Software Learning disability Multiple comparisons problem Statistics medicine Econometrics Psychology (miscellaneous) medicine.symptom business General Psychology Type I and type II errors |
| Zdroj: | Behavior Research Methods, Instruments, & Computers. 25:199-202 |
| ISSN: | 1532-5970 0743-3808 |
| DOI: | 10.3758/bf03204495 |
| Popis: | As states increasingly adopt actuarial models to aid learning disability (LD) identification, microcomputer programs are being used to accurately measure the primary LD criterion: severe discrepancies between IQ and achievement. First-generation programs offered little flexibility in regression parameters and user-defined options. This paper describes Standard Score Comparison 2.0 (SSC 2.0), a second-generation regression program that calculates multiple discrepancies, and provides options for Type I error rates, SEM confidence levels, correction for multiple comparisons, and the cut-off value that defines severe discrepancy. Application of SSC 2.0 to non-LD areas and potential features of third-generation software are discussed. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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