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Articles

Two methods for quantifying similarity between textbooks with respect to content distribution

ORCID Icon, ORCID Icon & ORCID Icon
Pages 161-174 | Received 21 Sep 2020, Accepted 14 Mar 2022, Published online: 28 Jun 2022

Figures & data

Table 1. The eight categories of FoNS.

Table 2. Counts and proportions of FoNS in three textbooks.

Figure 1. Comparing year 1 textbooks with respect to FoNS using moving averages.

Figure 1. Comparing year 1 textbooks with respect to FoNS using moving averages.

Figure 2. Data smoothing with moving averages and with adapted Lorenz-curves.

Figure 2. Data smoothing with moving averages and with adapted Lorenz-curves.

Figure 3. Generating pairwise data from disjoint sections.

Figure 3. Generating pairwise data from disjoint sections.

Figure 4. Generating pairwise data from moving averages.

Figure 4. Generating pairwise data from moving averages.

Figure 5. Euclidean similarity between Singma & Abacus.

Figure 5. Euclidean similarity between Singma & Abacus.

Figure 6. Euclidean similarity between Singma & MNP.

Figure 6. Euclidean similarity between Singma & MNP.

Figure 7. Euclidean similarity between Abacus & MNP.

Figure 7. Euclidean similarity between Abacus & MNP.

Figure 8. Pearson correlation between Singma & Abacus.

Figure 8. Pearson correlation between Singma & Abacus.
Supplemental material

Supplemental Material

Download MS Excel (400.6 KB)