Mapping Textual Space

January 1, 2010TC A Journal of Biblical Textual Criticism

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Key Points

The study aims to analyze textual differences among biblical witnesses using statistical methods.
Develop a data matrix to encode biblical text readings.
Create a dissimilarity matrix to quantify differences between witnesses.
Apply statistical reasoning to define significant distances and assess margin of error.
Utilize multidimensional scaling and divisive clustering for data analysis.
Identified statistically significant distances between witness readings.
Demonstrated the impact of sample size on margin of error for estimates.
Utilized multivariate techniques to illustrate witness relationships in the text.

This article applies statistical analysis to assess textual variations in biblical manuscripts, highlighting significant differences among witnesses.

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Timothy John Finney (2010) studied this question.

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