By Patricia K. Kerig, Donald H. Baucom

A significant other quantity to relatives Observational Coding structures, this e-book strikes from the triad to the dyad and offers a show off for major advancements within the coding of intimate couple interactions. The desire is this publication will give a contribution to the broadening and deepening of the sector via disseminating info either in regards to the coding structures which have been constructed, in addition to the conceptual and methodological matters considering couple observational examine. the 1st 3 chapters current overviews of conceptual and methodological concerns within the learn of couple procedures. the remainder chapters describe contributions to the sphere by way of sixteen groups of researchers. each one bankruptcy offers information regarding the conceptual underpinnings and constitution of the coding procedure constructed through the authors and proof for its psychometric houses. Couple Observational Coding structures might be of curiosity to researchers learning couple interactions in addition to clinicians who paintings with undefined.

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Communication patterns might cause relationship dis- 2. COUPLES OBSERVATIONAL RESEARCH 19 tress, but distress might result from many other factors, which result in the deterioration of communication, as well. On the flip side, functional marriage is not well understood. A behavior analytic approach to marriage, one that would systematically define the skills required for maintaining a mutually satisfying, stable relationship, has not been well articulated. , Goldfried & D'Zurilla, 1969) is the method of choice for establishing content validity.

There are several weaknesses to using this approach. For instance, the statistic does not discriminate on an item level and thereby does not indicate which items were agreed on and which were not. Additionally, the statistic is not sensitive to the mean activity level of the two raters, so that a high correlation coefficient might be obtained even when the raters' mean levels of ratings are very different (Poling, Methot, & LeSage, 1995). 7 Intraclass Correlations. The intraclass correlation is a form of reliability statistic derived from generalizability theory.

The data are tallied in a confusion matrix, which is a symmetrical matrix with all possible codes for coder A listed in the rows and all codes for coder B listed in the same order in the columns. Each behavior evaluated by the coders is tallied according to the code it received from coder A and coder B. Thus, the tallies in the diagonal of the matrix represent instances in which both coders assigned the same code to the same behavior, and tallies in other locations represent instances in which the coders disagreed in their evaluations.

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