The Dental Subscale of the Children's Fear Survey Schedule: Predictive Value and Clinical Usefulness

This study reports on the predictive value and clinical usefulness of the Dutch parental version of the Dental Subscale of the Children's Fear Survey Schedule (CFSS-DS). Parents of 718 children (4–12 years) completed this CFSS-DS version before or during the child's visit. The dentist rated the child's dental fear during treatment on a 5-point Likert-type Scale from 1 (not afraid at all) to 5 (very afraid). Reliability analysis was performed, and correlation coefficients between the two measures were calculated. The reliability of the scale proved to be high (Cronbach's = .93) and significant correlation coefficients were found (r = .58 and r = .68, p < .01). The negative predictive value of the CFSS-DS was high (.96), whereas its positive predictive value was relatively low (0.41). It was concluded that the CFSS-DS might be of clinical value as a screening device of dental fear, whereas its predictive value of fearful behavior should not be overestimated.     

Silence is golden? Characteristics and experiences of self-reported whistleblowers

This study investigates the characteristics of whistleblowers, the prevalence and nature of whistleblowing, and the occurrence of retaliation after whistleblowing using a randomly selected and representative sample of Norwegian employees. The results showed that 12 per cent self-reported as whistleblowers according to an operational definition. Being a leader, or a union or personnel safety representative was significantly related to whistleblowing. The most frequently reported wrongdoing was harassment conducted by a single colleague. Wrongdoer(s) received mixed responses, from no reaction to reprimand. Even though most whistleblowers were not sanctioned, they reported less job satisfaction and more workplace bullying than did nonwhistleblowers. Only a few were rewarded. For the most part, wrongdoing was stopped or reduced. However, whistleblowing was only partially effective, because whistleblowers reported lack of feedback about the result of their report. Results also showed that the status of the wrongdoer was related to the reaction he or she received afterwards, as were the type of wrongdoing and the effect on the wrongdoing, and the type of wrongdoing and the effect on the wrongdoer(s). Potential explanations for the results, such as the type of sample and power distance, are discussed. Practical implications of the study are also addressed, such as the importance of providing feedback to whistleblowers.     

Family therapists in trauma-response teams: bringing systems thinking into interdisciplinary fieldwork

Attention to the mental health facets of disaster-preparedness and trauma-response teams has increased considerably over the past decade. As family therapists take part in these efforts, they bring with them a worldview that adds valuable contributions to the nature in which fieldwork is conducted and the manners in which interdisciplinary teams function on the ground. In this article, we present how systems thinking sensitizes trauma workers to a variety of clinical presentations and biopsychosocial complexities inherent in this work. We describe common clinical- and practice-related challenges, alongside practical strategies for effectively dealing with these challenges. We draw upon our experiences as family therapists trained in the field of trauma, and our work as field responders, supervisors and team leaders across a variety of local and large-scale disaster events and contexts.     

The Assumption of Proportional Components when Candecomp is Applied to Symmetric Matrices in the Context of Indscal

The use of Candecomp to fit scalar products in the context of INDSCAL is based on the assumption that the symmetry of the data matrices involved causes the component matrices to be equal when Candecomp converges. Ten Berge and Kiers gave examples where this assumption is violated for Gramian data matrices. These examples are believed to be local minima. It is now shown that, in the single-component case, the assumption can only be violated at saddle points. Chances of Candecomp converging to a saddle point are small but still nonzero.     

Suppressing permutations or rigid planar rotations: A remedy against nonoptimal varimax rotations

Varimax rotation consists of iteratively rotating pairs of columns of a matrix to a maximal sum (over columns) of variances of squared elements of the matrix. Without loss of optimality, the two rotated columns can be permuted and/or reflected. Although permutations and reflections are harmless for each planar rotation per se, they can be harmful in Varimax rotation. Specifically, they often give rise to the phenomenon that certain pairs of columns are consistently skipped in the iterative process, whence Varimax will be terminated at a nonstationary point. The skipping phenomenon is demonstrated, and it is shown how to prevent it.The author is obliged to Henk Kiers for commenting on a previous draft.     

On Green's best linear composites with a specified structure,and oblique estimates of factor scores

Green solved the problem of least-squares estimation of several criteria subject to the constraint that the estimates have an arbitrary fixed covariance or correlation matrix. In the present paper an omission in Green's proof is discussed and resolved. Furthermore, it is shown that some recently published solutions for estimating oblique factor scores are special cases of Green's solution for the case of fixed covariance matrices.     

Explicit candecomp/parafac solutions for a contrived 2 × 2 × 2 array of rank three

Kruskal, Harshman and Lundy have contrived a special 2 × 2 × 2 array to examine formal properties of degenerate Candecomp/Parafac solutions. It is shown that for this array the Candecomp/Parafac loss has an infimum of 1. In addition, the array will be used to challenge the tradition of fitting Indscal and related models by means of the Candecomp/Parafac process.     

Some additional results on principal components analysis of three-mode data by means of alternating least squares algorithms

Kroonenberg and de Leeuw (1980) have developed an alternating least-squares method TUCKALS-3 as a solution for Tucker's three-way principal components model. The present paper offers some additional features of their method. Starting from a reanalysis of Tucker's problem in terms of a rank-constrained regression problem, it is shown that the fitted sum of squares in TUCKALS-3 can be partitioned according to elements of each mode of the three-way data matrix. An upper bound to the total fitted sum of squares is derived. Finally, a special case of TUCKALS-3 is related to the Carroll/Harshman CANDECOMP/PARAFAC model.