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Demographic Variables As Predictors of Local Report Card Designations

Bennett, Christine Russell

Abstract Details

2010, Specialist in Education, Miami University, Educational Psychology.
The following study examines the predictive value of demographic variables on Local Report Card designations in Ohio. Specifically, data on the percentage of minority students, percentage of economically disadvantaged students, student-to-teacher ratio, per-pupil spending, percentage of students with a disability, and LRC designations was collected from all elementary schools in Ohio in order to examine the predictive value of each variable on a school’s LRC designation. The results of the study indicate that percentage of minority students, percentage of students with a disability, percentage of economically disadvantaged students, and per pupil spending have significant predictive value. The results suggest that despite great effort to remove demographic bias from the LRC, it continues to exist.
Jason Abbitt, PhD (Committee Co-Chair)
Michael Woodin, PhD (Committee Co-Chair)
Jane Cole, PhD (Committee Member)
Tanya Watson, PhD (Committee Member)
26 p.

Recommended Citations

Citations

  • Bennett, C. R. (2010). Demographic Variables As Predictors of Local Report Card Designations [Doctoral dissertation, Miami University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=miami1276625847

    APA Style (7th edition)

  • Bennett, Christine. Demographic Variables As Predictors of Local Report Card Designations. 2010. Miami University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=miami1276625847.

    MLA Style (8th edition)

  • Bennett, Christine. "Demographic Variables As Predictors of Local Report Card Designations." Doctoral dissertation, Miami University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=miami1276625847

    Chicago Manual of Style (17th edition)