Jenifer Moore

Adequate Yearly Progress: Leaving Explanation Behind

Is it possible to predict which schools will make Adequate Yearly Progress?

• Broschiertes Buch

Produktbeschreibung

The purpose of this research was to determine if the variables included in the Mississippi Report Card utilized for the calculation of AYP can be used to predict with accuracy greater than that which can be attributed to chance, whether or not Mississippi LEAs will attain adequate yearly progress in reading and math using the logistic regression technique. An additional goal of this study is to identify whether the inclusion of an additional variable pertaining to the proportion of teachers in each Mississippi LEA with a one-year teaching certificate can notably enhance the explanatory power of the logistic regression models. This study demonstrated that using the variables utilized for the calculation of AYP, a predictive model can be successfully utilized to classify Mississippi LEAs that will and will not attain AYP in reading and math with an accuracy greater than that which can be attributed to chance. This study also established that the inclusion of a variable corresponding to the percentage of teachers in a LEA with one-year educator licenses does not add to the predictive accuracy of the model.

Produktdetails

• Verlag: LAP Lambert Academic Publishing
• Seitenzahl: 116
• Erscheinungstermin: 22. Januar 2010
• Englisch
• Abmessung: 220mm x 150mm x 7mm
• Gewicht: 191g
• ISBN-13: 9783838340661
• ISBN-10: 3838340663
• Artikelnr.: 29021957

Autorenporträt

Jenifer Moore, Ph.D. sirve como coordinadora del programa de primaria y profesora asistente en la Universidad de Montevallo. Moore enseña cursos de métodos de matemáticas y ciencias dentro del programa de educación elemental. Sus intereses de investigación incluyen la gestión de clases, la educación en matemáticas y ciencias, y las iniciativas de educación federal.