Yamashita Hiroshi
   Department   Undergraduate School  , School of Commerce
   Position   Professor
Language Japanese
Publication Date 2019/11
Type Academic Journal
Peer Review Peer reviewed
Title An Evaluation Criterion of Sample Size for the Single Factor Model of Information Channel
Contribution Type Sole-authored
Journal Journal of Japan Association for Management Systems
Journal TypeJapan
Publisher Japan Association for Management Systems
Volume, Issue, Page 36(2),pp.101-106
Total page number 6
Details Generally, the single factor model of information channel is not possible to determine how many numbers out of N samples should be analyzed, because it is an estimating model of selection probability based on fixed the samples. Even if we wanted to analyze efficiently with as small sample size as possible, there are no criteria to determine how many samples to use for the analysis. Therefore, this paper is going to assume the scenes where only n samples out of N samples are analyzed in the single factor model of information channel, and proposes a new evaluation criterion for determining the sample size n. Then, the sample size n to be analyzed is determined by the above proposed criterion using simple numerical examples, and the validity of the criterion is examined from the result.