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Grouping Continuous Data in Discrete Intervals: Information Loss and Recovery
Author(s) -
Shaw Dale G.,
Huffman Michael D.,
Haviland Mark G.
Publication year - 1987
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.1745-3984.1987.tb00272.x
Subject(s) - statistics , interval (graph theory) , mathematics , population , grouped data , interval data , confidence interval , distribution (mathematics) , econometrics , medicine , mathematical analysis , combinatorics , data envelopment analysis , environmental health
Information loss occurs when continuous data are grouped in discrete intervals. After calculating the squared correlation coefficients between continuous data and corresponding grouped data for four population distributions, the effects of population distribution, number of intervals, and interval width on information loss and recover), were examined.