Quality control and data mining techniques applied to monitoring scaled scores

EDM 2011 - Proceedings of the 4th International Conference on Educational Data Mining

Volumn , Issue , 2011, Pages 353-354

  Von Davier, A A ^a  

^a EDUCATIONAL TESTING SERVICE   (United States)

Author keywords

Change point models; Cusum charts; Data mining; Hidden markov models; Quality control; Scale drift; Scaled scores; Shewhart charts; Time series

Indexed keywords

CHANGE-POINTS; CONTROL TECHNIQUES; CUSUM CHART; DATA MINING TECHNIQUES; EDUCATIONAL TESTING; PRELIMINARY DATA; QUALITY CONTROL CHARTS; SCALE DRIFT; SCALED SCORES; SHEWHART; SHEWHART CHART; TESTING DATA; TESTING PROGRAMS; TIME SERIES MODELS;

HIDDEN MARKOV MODELS; QUALITY ASSURANCE; QUALITY CONTROL; TESTING; TIME SERIES;

DATA MINING;

EID: 84857493878     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (4)

1. LEE, Y.-H., & HABERMAN, S. (2011). Application of harmonic regression to monitor scale stability. Manuscript in preparation.
2. LEE, Y.-H., & VON DAVIER, A. A. (2011, April). Monitoring scale scores over time via quality control tools and time series techniques. Paper presented at the annual meetings of the American Educational Research Association (AERA) and the National Council on Measurement in Education (NCME), New Orleans, LA.
3. LI, D., LI, S., & VON DAVIER, A. A. (2011). Applying time-series analysis to detect scale drift. In A. A. von Davier (Ed.), Statistical models for test equating, scaling, and linking (pp. 327-346). New York, NY: Springer-Verlag.
4. LUO, L., LEE Y. -H., & VON DAVIER, A. A. (2011). Pattern detection for scaled score means of subgroups across multiple test administrations. Paper presented at the annual meetings of the American Educational Research Association (AERA) and the National Council on Measurement in Education (NCME), New Orleans, LA.