Methods

So you can better address any potential biases because of attrition for the longitudinal analyses, full imputation limitation possibilities (FIML) measures were utilized that have analyses, and all parameters that have been pertaining to coming destroyed study (we.elizabeth., where research weren’t lost entirely at random). Since these tips have been found so you’re able to yield at least biased estimates when every readily available analysis are used for longitudinal analyses (against. listwise deletion off shed investigation), the complete original try off 185 to your large analysis try useful for such analyses. Which larger take to therefore comes with the best quotes off increases and alter within the externalizing decisions and you will depressive episodes and was least likely to be biased because of the missing analysis. age., listwise deletion) produced efficiency that were dramatically just like those claimed less than. Inside sum, analyses advise that attrition are small total and never browsing has altered the results reported. Analyses and revealed that participants getting which communications study which have fathers was indeed offered got higher family revenues, was in fact less inclined to feel members of an effective racial/ethnic fraction classification, and you may were very likely to feel securely connected than just users for who dad correspondence study were not available.

Adult accessory interview (AAI) and you can Q-put (George, Kaplan, & Head, 1996; Kobak et al., 1993)

This planned interview probes individuals’ definitions of the youth matchmaking having mothers both in abstract words and with wants certain supporting thoughts. Such as, subjects had been questioned so you’re able to record five terminology detailing the early childhood dating with each father or mother immediately after which to explain particular periods you to shown those individuals words. Most other concerns focused upon particular instances of disturb, separation, loss, stress, and you can rejection. In the end, this new interviewer expected users to provide a great deal more integrative meanings off alter in relationship with moms and dads together with present state of those dating. The new interviews consisted of 18 issues and you may endured one hour with the mediocre. Moderate adjustment to the mature adaptation have been made to make the questions natural and easily realized to possess a teen populace (Ward & Carlson, 1995). Interview was indeed audiotaped and transcribed to possess coding.

The latest AAI Q-put (Kobak mais aussi al., 1993) was designed to directly parallel this new Mature Accessory Interview Group Program (Chief & Goldwyn, 1998) however, so you’re able to give continued strategies out of functions out of accessory business. For each rater realize an excellent transcript and you may given a beneficial Q-kinds dysfunction by assigning a hundred activities with the nine kinds between most so you’re able to least attribute of the interview, having fun with a pressured delivery. All the interview was in fact blindly ranked by the at least several raters that have detailed learning both the Q-sort while the Mature Connection Interview Class System.

These Q-sorts were then meilleurs sites bisexuels compared with a dimensional prototype sort for secure versus anxious interview strategies, reflecting the overall degree of coherence of discourse, the integration of episodic and semantic attachment memories, and a clear objective valuing of attachment. The individual correlation of the 100 items of an individual’s Q-sort with a prototype sort for a maximally secure transcript was then used as that participant’s scale security score (ranging from ?1.00 to 1.00). The Spearman-Brown interrater reliability for the final security scale score was.82. This system was designed to yield continuous measures of qualities of attachment organization rather than to replicate classifications from the Main and Goldwyn (1998) system. Prior work has compared the scores obtained within this lab to a subsample (N = 76) of adolescent AAIs that were classified by an independent coder with well-established reliability in classifying AAIs (U. Wartner) We did this by converting the Q-sort scales described above into classifications using an algorithm described by Kobak et al. (1993). Using this approach, we obtained an 84% match for security versus insecurity between the Q-sort method and the classification method (K = .68). Prior research in adolescent samples has also indicated that security is highly stable over a two-year period (i.e., r = .61) (Allen, McElhaney, Kuperminc, & Jodl, 2004). We also considered employing a category available for coding adolescents’ use of hyperactivating versus deactivating strategies in the interview, but given that its high inverse correlation with attachment security (r = .78, p < .0001) suggested it would be supplying largely redundant information, it was not analyzed further.