A Note on the Determinants of Recent Pupil Achievement
Author(s)
Frederic L. Pryor*
ABSTRACT
This analysis focuses on the average state scores in 2013 for reading and mathematics of fourth and eighth grade pupils taking the National Assessment of Educational Progress. Of the 19 possible determinants that are tested, two are most important: average pupil/teacher ratios in the state and the share of pupils coming from low income families who are eligible for free or low cost lunches. Most of the other variables focusing on pupil and school characteristics or on state policies such as expenditures on education, length of school year, or required attendance at kindergartens did not have a statistically significant impact.
Cite this paper
Pryor, F. (2014) A Note on the Determinants of Recent Pupil Achievement. Creative Education, 5, 1265-1268. doi: 10.4236/ce.2014.514143.
Pryor, F. (2014) A Note on the Determinants of Recent Pupil Achievement. Creative Education, 5, 1265-1268. doi: 10.4236/ce.2014.514143.
References
[1] (2014). Digest of Education Statistics. http://nces.ed.gov/programs/digest [2] Grissmer, D. et al. (2000). Improving Student Achievement. Santa Monica: RAND. [3] National Center for Education Statistics (2014). Conditioning Variables and Contrast Coding.
http://nces.ed.gov/nationsreportcard/pdf/main1998/2001509f.pdf [4] Schofield, L. S., Junker, B. J., Taylor, L., & Black, D. (2014). Predictive Inference Using Latent Variables with Covariates. Psychometrika. (Forthcoming)
[1] (2014). Digest of Education Statistics. http://nces.ed.gov/programs/digest [2] Grissmer, D. et al. (2000). Improving Student Achievement. Santa Monica: RAND. [3] National Center for Education Statistics (2014). Conditioning Variables and Contrast Coding.
http://nces.ed.gov/nationsreportcard/pdf/main1998/2001509f.pdf [4] Schofield, L. S., Junker, B. J., Taylor, L., & Black, D. (2014). Predictive Inference Using Latent Variables with Covariates. Psychometrika. (Forthcoming)