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A MONTE CARLO STUDY OF ITEM SAMPLING (VERSUS TRADITIONAL SAMPLING) FOR NORM CONSTRUCTION 1
Author(s) -
BARCIKOWSKI ROBERT S.
Publication year - 1972
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.1745-3984.1972.tb00954.x
Subject(s) - statistics , sampling (signal processing) , monte carlo method , mathematics , variance (accounting) , simple random sample , test (biology) , stratified sampling , sample (material) , econometrics , item response theory , computer science , psychometrics , population , demography , accounting , filter (signal processing) , sociology , business , computer vision , paleontology , chemistry , chromatography , biology
Using a computer‐based model of an item trace line, a random sampling experiment concerned with comparing item sample estimates to traditional (examinee) sample estimates of the mean and variance of a distribution of test scores was conducted. The results indicated that the optimal method for estimating a test's parameters may depend on several conditions. As expected, item sampling proved superior to traditional sampling in estimating test means under all conditions. However, with certain test lengths, ranges of item difficulty, and discrimination, traditional sampling provided better estimates of test variance than did item sampling.