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By David A. Kenny PhD, Deborah A. Kashy PhD, William L. Cook PhD, Jeffry A. Simpson PhD

Dyadic info research

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Dyadic Data Analysis

Dyadic information research

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006. Clearly, the fact that the size and the statistical significance of the Pearson correlation can change substantially depending upon such an arbitrary rearrangement of the data implies that this particular statistic is not well suited for assessing the relatedness of scores from dyads with indistinguishable members. The intraclass correlation, symbolized in this book as rI, provides a unique estimate of the relationship between scores from indistinguishable dyad members. Intraclass correlations for dyads are interpreted in the same fashion as Pearson correlations.

A one-sided design would occur if only the x scores (or only the x scores) are collected. When both members are measured, both x and x are gathered, and the design is said to be two-sided. We also refer to designs in which both members are measured as reciprocal. The standard design is one in which each person is a member of one and only one dyad. 2, for the standard design (the first panel of the table), A and B are members of one dyad, C and D are members of a second dyad, E and F are members of a third dyad, and G and H are the final dyad.

In this design, there are n dyads and 2n individuals. 2 are obtained), and when only one of the two persons is measured, there are only n observations (either the x or the x observations are obtained). Generally, in this book we assume that the standard design is reciprocal. As an example of the standard design, Acitelli (1997) measured 148 married and 90 heterosexual dating couples on satisfaction. The study consisted of 238 men and 238 women. The x scores might then represent how satisfied the 238 men were, and the x scores, how satisfied the 238 women were.

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