Attachment, parenting, and separation--individuation in adolescence: a comparison of hospitalized adolescents, institutionalized delinquents, and controls

The authors compared parent-related perceptions by hospitalized adolescents (i.e., who were admitted to a specialized psychiatric unit; n = 50) and delinquent adolescents (i.e., who were placed at a juvenile treatment institution; n = 51) with adolescents from the general population (n = 51). All adolescents completed a broad set of measures of attachment, perceived parenting, and separation-individuation. Contrary to initial expectations, hospitalized adolescents scored higher than controls on indices of excessive autonomy. Ambivalence regarding issues of interpersonal closeness and distance was found among delinquent adolescents. In addition, hospitalized and delinquent adolescents were found to be struggling, each in their specific way, with attachment-related experiences of trauma. Finally, delinquent adolescents also showed a stage-appropriate form of potentially adaptive narcissism. These findings add to the growing consensus in the literature that associations between adolescent psychopathology and parent-related perceptions are typically complex and somewhat counterintuitive.     

Shaping reality vs. hiding from reality: Reconsidering the effects of trait need for closure on information search

For tentative and final decisions on real and artificial issues, three studies revealed a positive relation between trait need for closure and selective approach to supportive (vs. unsupportive) information. Specifically, individuals with high (vs. low) trait need for closure selected more decision-supportive information and less decision-challenging information for viewing. Furthermore, Study 1 showed that the effect of trait need for closure functioned independently of authoritarianism and dogmatism, and Study 3 showed that the effect of trait need for closure on selective approach to decision-supportive information was mediated by a current concern to get closure on the experimental issue. These findings provide a new understanding of how trait need for closure shapes post-decisional information search and decision making.     

The surgical anxiety questionnaire (SAQ): development and validation

Objective: Preoperative anxiety is often assessed using general anxiety measures; existing specific measures might lack content coverage and/or are not psychometrically validated. This study aimed to develop a new self-report measure of surgery-specific anxiety and test its psychometric properties.

Design: The surgical anxiety questionnaire (SAQ) was developed from themes identified in qualitative research and reviewed by an interdisciplinary expert team. It was administered preoperatively to 135 patients (56% female, mean age 51) on the day of surgery alongside additional measures of preoperative anxiety, state anxiety, perceived stress, depression and social desirability. Follow-up assessment was conducted immediately post-surgery and two weeks post-surgery (n?=?114) to examine recovery and predictive validity of the scale.

Results: Factor analysis revealed a three component structure, including: concerns about health (six items), concerns about recovery (four items) and concerns about procedures (four items). Three additional items of relatively high concern were retained in the total score (17 items). The SAQ displayed good reliability, validity (content, construct and predictive) and adequate overall psychometric properties.

Conclusions: Preliminary results suggest that the SAQ is a promising tool for measuring preoperative anxiety and predicting recovery. Recommendations for future research include employing a confirmatory factor analysis and examining test-retest reliability.     

Diagnostic models for procedural bugs in basic mathematical skills

A new diagnostic modeling system for automatically synthesizing a deep-structure model of a student's misconceptions or bugs in his basic mathematical skills provides a mechanism for explaining why a student is making a mistake as opposed to simply identifying the mistake. This report is divided into four sections: The first provides examples of the problems that must be handled by a diagnostic model. It then introduces procedural networks as a general framework for representing the knowledge underlying a skill. The challenge in designing this representation is to find one that facilitates the discovery of misconceptions or bugs existing in a particular student's encoding of this knowledge. The second section discusses some of the pedagogical issues that have emerged from the use of diagnostic models within an instructional system. This discussion is framed in the context of a computer-based tutoring/gaming system developed to teach students and student teachers how to diagnose bugs strategically as well as how to provide a better understanding of the underlying structure of arithmetic skills. The third section describes our uses of an executable network as a tool for automatically diagnosing student behavior, for automatically generating “diagnostic” tests, and for judging the diagnostic quality of a given exam. Included in this section is a discussion of the success of this system in diagnosing 1300 school students from a data base of 20.000 test items. The last section discusses future research directions.