R Codes for Dyadic Data Analysis
A companion to
Kenny, D. A., Kashy, D. A., & Cook, W. L. (2006). Dyadic data analysis. York: Guilford Press.
Chapter 1 Table 1.3
Chapter 2 Table 2.1
Chapter 3
Table 3.1
Table 3.3 -- example different from book
Table 3.5
Chapter 4 Table 4.3
Chapter 6
Table 6.1 Equality of variances
Table 6.2 Equality of correlations
Table 6.3 Latent variable correlations
Table 6.4 Omnibus test of distinguishability Correlations pairwise method (p. 138)
Chapter 7
Table 7.1 Mimic APIM with MLM results obtained with SPSS in Table 7.3
Figure 7.2 Estimate indistinguishable APIM with SEM
Figure 7.3 Estimate distinguishable APIM (with SEM)
Chapter 11
Table 11.4 Social network analysis
Chapter 10
p. 292 Blog. One with many reciprocal design -- indistinguishable
p. 292 One with many reciprocal design -- indistinguishable with MLM
p. 293 One with many reciprocal design -- with SEM
For R-based web applications, see Randi Garcia and Dave Kenny's Dyadic Data Analysis 2018 Workshop