A COMPARISON OF 2 PROCEDURES FOR COMPUTING IRT EQUATING COEFFICIENTS

被引:53
作者
BAKER, FB [1 ]
ALKARNI, A [1 ]
机构
[1] MINIST EDUC,RIYADH 11422,SAUDI ARABIA
关键词
D O I
10.1111/j.1745-3984.1991.tb00350.x
中图分类号
G44 [教育心理学];
学科分类号
0402 ; 040202 ;
摘要
In order to equate tests under Item Response Theory (IRT), one must obtain the slope and intercept coefficients of the appropriate linear transformation. This article compares two methods for computing such equating coefficients–Loyd and Hoover (1980) and Stocking and Lord (1983). The former is based upon summary statistics of the test calibrations; the latter is based upon matching test characteristic curves by minimizing a quadratic loss function. Three types of equating situations: horizontal, vertical, and that inherent in IRT parameter recovery studies–were investigated. The results showed that the two computing procedures generally yielded similar equating coefficients in all three situations. In addition, two sets of SAT data were equated via the two procedures, and little difference in the obtained results was observed. Overall, the results suggest that the Loyd and Hoover procedure usually yields acceptable equating coefficients. The Stocking and Lord procedure improves upon the Loyd and Hoover values and appears to be less sensitive to atypical test characteristics. When the user has reason to suspect that the test calibrations may be associated with data sets that are typically troublesome to calibrate, the Stocking and Lord procedure is to be preferred. Copyright © 1991, Wiley Blackwell. All rights reserved
引用
收藏
页码:147 / 162
页数:16
相关论文
共 18 条
[1]   TECHNICAL AND PRACTICAL ISSUES IN EQUATING - A DISCUSSION OF 4 PAPERS [J].
ANGOFF, WH .
APPLIED PSYCHOLOGICAL MEASUREMENT, 1987, 11 (03) :291-300
[2]   SOME OBSERVATIONS ON THE METRIC OF PC-BILOG RESULTS [J].
BAKER, FB .
APPLIED PSYCHOLOGICAL MEASUREMENT, 1990, 14 (02) :139-150
[3]  
BAKER FB, 1978, GENIRV COMPUTER PROG
[4]  
BEJAR I, 1981, 818 ED TEST SERV COL
[5]  
DAVIDON WC, 1959, ANL5990 US AT EN COM
[6]   A RAPIDLY CONVERGENT DESCENT METHOD FOR MINIMIZATION [J].
FLETCHER, R ;
POWELL, MJD .
COMPUTER JOURNAL, 1963, 6 (02) :163-&
[7]   BIAS AND THE EFFECT OF PRIORS IN BAYESIAN-ESTIMATION OF PARAMETERS OF ITEM RESPONSE MODELS [J].
GIFFORD, JA ;
SWAMINATHAN, H .
APPLIED PSYCHOLOGICAL MEASUREMENT, 1990, 14 (01) :33-43
[8]  
HAEBARA T, 1980, JPN PSYCHOL RES, V22, P144, DOI 10.4992/psycholres1954.22.144
[9]  
Linn RL, 1980, 163 U ILL CTR STUD R
[10]  
LORD FM, 1980, APPLICATIONS ITEM RE