읽기장애학생의 개별 기울기 산출방안 탐색: 어절 선택CBM과 최량선형비편향추정치(BLUPs) 활용 = Formulas for Calculating an Individual Slope for Students with Reading Disabilities: An Application of Maze CBM and BLUPs

다국어 초록 (Multilingual Abstract)

The main purpose of the current study was to suggest Best Linear Unbiased Predictors(BLUPs) as an alternative to Ordinary Least Squares(OLS) that was most commonly used in CBM research. The benefit of BLUPs in Linear Mixed Effects Regression(LMER) is to provide information on both individual and group slope coefficients. This study used a case example based on CBM maze data to show how to estimate the BLUPs fitted curves and intercepts. Results indicated that BLUPs would be useful for comparing subjects’ slopes to a group change curve. Findings suggested that BLUPs would outperform OLS for estimating CBM growth curves of individual students, and it should be considered in CBM research. In addition, this study provided empirical evidence for usefulness of BLUPs at the first tier of RTI.

참고문헌 (Reference)

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