Presurgical Coping, Depression, and Quality of Life in Persons with Parkinson's Disease

This study describes utilization of coping strategies and evaluates the interaction between coping strategies, depression, and quality of life (QOL) in patients with Parkinson's disease (PD) who are being considered for neurosurgical intervention. Eighty patients (mean age 61.7 years) with PD being evaluated for possible deep brain stimulation completed self-report instruments of coping strategies (Coping Responses Inventory), depression (Beck Depression Inventory), and disease-specific QOL (Parkinson's Disease Questionnaire-39). Analyses showed that patients with PD cope with the acute stressor of approaching neurosurgery through a variety of strategies, but particularly avoidant and behavioral strategies. When the correlated but apparently opposing effects of cognitive and behavioral strategies were teased apart, greater use of cognitive strategies was associated with more severe depressive symptomatology (and poorer QOL), while greater use of behavioral strategies appeared to be associated with less depression. Depressive symptomatology, in turn, was associated with poorer QOL. However, coping had minimal direct association with QOL. From this it was concluded that patients with advanced PD generate a variety of coping responses to an acute stressor such as surgery, and the use of behavioral strategies, in particular seeking of alternative enjoyable activities, may be associated with better mood if salutary effects are not overwhelmed by less helpful cognitive coping techniques. The minimization of depressive symptomatology, in turn, is associated with better QOL.     

Configural Frequency Analysis in Applied Psychological Research

L'Analyse de Fréquence des Configurations (AFC) est une méthode de recherche des classes et anticlasses dans les classifications croisées de catégories de variables. Les classes sont des modèles de catégories de variables qui apparaissent plus souvent que le hasard ne le laisse supposes. Les anticlasses sont des modèles de catégorie de variables qui apparaissent moins souvent que le hasard ne le laisse supposes. On présente quatre applications d'AFC: l'AFC de premier ordre, l'AFC prédictive, l'AFC de symétrie axiale, et un modèle d'AFC longitudinale. On examine les caractéristiques de l'AFC en insistant sur les contraintes et l'applicabilité. On compare aussi l'AFC avec d'autres méthodes permettant l'analyse multivariée de catégories de données, en particulier la modèlisation log-linéaire. Des sorties informatiques sont traitées.
Configural Frequency Analysis (CFA) is a method for the search for types and antitypes in cross-classifications of categorical variables. Types are patterns of variable categories that occur more often than expected from chance. Antitypes are patterns of variable categories that occur less often than expected from chance. Four applications of CFA are reviewed: the First Order CFA, the Prediction CFA, Axial Symmetry CFA, and one model of Longitudinal CFA. Characteristics of CFA are discussed, focusing on constraints posed and applicability. Comparisons are made of CFA with other methods for multivariate analysis of categorical data, in particular, log-linear modelling. Computational issues are discussed.     

Creative Fixation is No Laughing Matter: The Effects of Funny and Unfunny Examples on Humor Production

How do people come up with humorous ideas? In creative cognition research, exposure to good examples sometimes causes fixation (people get “stuck” on the examples) but other times sparks inspiration (people's responses are more creative). The present research examined the effects of funny and unfunny examples on joke production. A sample of 175 adults read scenarios that they completed with funny responses. All participants were instructed to be funny, but before responding they read (a) funny responses as examples of good responses to emulate, (b) unfunny responses as examples of poor responses to avoid, or (c) no examples. The participants’ own responses were rated for funniness and for similarity to the example responses, and response times were recorded. Reading either funny or unfunny examples, compared to no examples, caused people to come up with funnier jokes. Similarity to the examples was low in all conditions, so fixation was relatively modest, but people who saw unfunny examples spent more time coming up with their responses. Taken together, the findings support the growing literature showing that examples are often inspiring rather than constraining, and they imply that good and bad examples spark creative thought via different paths.