Dyadic Data Analysis by David A. Kenny PhD, Deborah A. Kashy PhD, William L. Cook

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

Dyadic information research

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Idiographic and Nomothetic Analyses Two key issues in dyadic analyses are the unit of the analysis and the unit of generalization. ) the unit of analysis, and the analysis is called nomothetic. In nomothetic analyses, research is conducted across many dyads, and the focus is on establishing general laws of behavior that apply to all dyads of a similar nature. Questions such as whether mothers are more responsive to their children than fathers can be approached from a nomothetic perspective by measuring mother and father responsiveness for many families and then testing for mean differences between mothers and fathers.

Note that the intercept should not be included in this second equation. The intercept is not included because the direction of the difference is arbitrary. ) The sum of squared residuals from this second regression equals SSW , with degrees of freedom equal to n – k, where k is the number of predictors in the regression equation. The ratio of this sum of squares to its degrees of freedom yields the MSW . The intraclass correlation would then be estimated and tested as before with the new degrees of freedom.

For instance, in correlating the degree of marital satisfaction between husband and wife, we may need to control for the length of marriage (or disease status, as in Badr, 2003). 3 = r12 – r13r23 (1 – r132 )(1 – r232 ) . The correlation is tested like any correlation coefficient (see the preceding formula), but the degrees of freedom are n – 3, not n – 2. 443. 001. Computing a partial correlation often, but not always, lowers the correlation. Although it is not obvious, if the variable to be controlled is a second distinguishing variable, the same computations would be used, but the second distinguishing variable would need to be recoded.

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