By Patricia K. Kerig, Donald H. Baucom
A better half quantity to family members Observational Coding platforms, this publication strikes from the triad to the dyad and gives a show off for major advancements within the coding of intimate couple interactions. The wish is this ebook will give a contribution to the broadening and deepening of the sphere via disseminating info either concerning the coding structures which were constructed, in addition to the conceptual and methodological matters concerned with couple observational examine. the 1st 3 chapters current overviews of conceptual and methodological matters within the learn of couple procedures. the remainder chapters describe contributions to the sphere through sixteen groups of researchers. every one bankruptcy offers information regarding the conceptual underpinnings and constitution of the coding approach constructed via the authors and proof for its psychometric houses. Couple Observational Coding structures could be of curiosity to researchers learning couple interactions in addition to clinicians who paintings with undefined.
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Additional resources for Couple Observational Coding Systems
This frequency ratio is calculated by first tallying the number of occurrences of the behavior recorded by each coder. The formula for the frequency ratio is as follows: Frequency ratio = (smaller tally/larger tally) x 100. Thus, if coder A recorded 9 occurrences of a behavior and coder B recorded 11 occurrences of that behavior, the frequency ratio is 82%. A weakness of this statistic is that the resulting value does not tell whether the raters agreed on the same occurrences, and thus it may not be useful for the purposes of monitoring agreement during coder training.
If training is successful and coder agreement remains high during the course of the data collection, then the measurement should be dependable, and the bulk of the variance in the data should be attributable to couple differences on the factors under investigation. However, in theory, monitoring observer agreement differs from the assessment of measurement reliability because we are not concerned with estimating true-score variance, but rather we want to know how often raters agree when they make their evaluations.
Instances in which only one coder assigns a code are tallied in the row or column, and the values of P0 and Pc are 3. METHODOLOGICAL GUIDELINES 33 calculated using these additional data points. Jacob, Tennenbaum, and Krahn (1987) described a method for computing an aggregate kappa from aggregate scores only, when coders record only total frequencies for each of the codes. In this case, the confusion matrix also includes a "no code" category. For each code, the smaller frequency given by either of the two coders is entered in the diagonal, so that these are treated as agreements, and the remainder is entered in the "no code" category and treated as disagreements.