ISSN 1671-3710
CN 11-4766/R
主办:中国科学院心理研究所
出版:科学出版社

Advances in Psychological Science ›› 2020, Vol. 28 ›› Issue (5): 855-870.doi: 10.3724/SP.J.1042.2020.00855

• Research Method • Previous Articles    

Kernel equating: A framework of observed score equating

WANG Shaojie, ZHANG Minqiang(), LI Tuoyu, LIANG Zhengyan   

  1. School of Psychology, South China Normal University, Guangzhou 510631, China
  • Received:2019-05-12 Online:2020-04-26 Published:2020-03-27
  • Contact: ZHANG Minqiang E-mail:2640726401@qq.com

Abstract:

Kernel equating procedures include pre-smoothing, estimation of the score probabilities, continuization, equating, and evaluation of equating performance. By incorporating linear equating and equipercentile equating methods, kernel equating is more extensible and comprehensive. Pre-smoothing and continuization are distinctive features in kernel equating to reduce the standard error of equating. Standard error of the difference between equating functions are calculated as criterion for evaluating the performances of different kernel equatings. Continuization methods, bandwidth selection methods, etc., can affect the performance of kernel equating. New equating methods based on kernel equating provide an innovative perspective for researchers. Further researchers could focus on extending kernel equating framework by integrating other methods, updating smoothing procedures, and comparative studies.

Key words: kernel equating, continuization, bandwidth selection, new equating methods

CLC Number: