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A NOTE ON ALLOCATING ITEMS TO SUBTESTS IN MULTIPLE MATRIX SAMPLING AND APPROXIMATING STANDARD ERRORS OF ESTIMATE WITH THE JACKKNIFE
Author(s) -
SHOEMAKER DAVID M.
Publication year - 1973
Publication title -
journal of educational measurement
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.917
H-Index - 47
eISSN - 1745-3984
pISSN - 0022-0655
DOI - 10.1111/j.1745-3984.1973.tb00799.x
Subject(s) - jackknife resampling , statistics , sampling (signal processing) , standard error , mathematics , econometrics , computer science , estimator , filter (signal processing) , computer vision
Investigated empirically through post mortem item‐examinee sampling were the relative merits of two alternative procedures for allocating items to subtests in multiple matrix sampling and the feasibility of using the jackknife in approximating standard errors of estimate. The results indicate clearly that a partially balanced incomplete block design is preferable to random sampling in allocating items to subtests. The jackknife was found to better approximate standard errors of estimate in the latter item allocation procedure than in the former.