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.     

Psychoneuroendocrine effects of resource-activating stress management training.

OBJECTIVE: The stress-induced release of cortisol has been linked to detrimental health outcomes. Therefore, strategies to attenuate cortisol stress responses are of interest for prevention and treatment of stress-related symptoms and problems. Previous studies have found protective effects of cognitive-behavioral stress management training--which focuses on the modification of stress-inducing cognitions--on cortisol stress responses; however, the effects of resource-oriented interventions on cortisol stress responses are unknown. DESIGN: The longitudinal effects of resource-oriented stress management training (Zurich resource model training) on cortisol stress responses and cognitive appraisal of a standardized psychosocial stress test were evaluated in 54 healthy male participants assigned randomly to treatment and control groups. The Trier Social Stress Test (TSST; C. Kirschbaum, Wust, & Strasburger, 1992) was administered to all participants 3 months after the treatment group underwent stress management training. MAIN OUTCOME MEASURES: Saliva cortisol samples were taken before, during, and after the TSST, and cognitive stress appraisal was assessed before the test. RESULTS: The treatment group had significantly attenuated cortisol responses and stress appraisals in comparison to the control group. The endocrine differences were mediated by differences in cognitive appraisals. DISCUSSION: These results indicate that resource-oriented stress management training effectively reduces endocrine stress responses to stress in healthy adults.     

Using Response Times to Model Not-Reached Items due to Time Limits

Missing values at the end of a test typically are the result of test takers running out of time and can as such be understood by studying test takers’ working speed. As testing moves to computer-based assessment, response times become available allowing to simulatenously model speed and ability. Integrating research on response time modeling with research on modeling missing responses, we propose using response times to model missing values due to time limits. We identify similarities between approaches used to account for not-reached items (Rose et al. in ETS Res Rep Ser 2010:i–53, 2010) and the speed-accuracy (SA) model for joint modeling of effective speed and effective ability as proposed by van der Linden (Psychometrika 72(3):287–308, 2007). In a simulation, we show (a) that the SA model can recover parameters in the presence of missing values due to time limits and (b) that the response time model, using item-level timing information rather than a count of not-reached items, results in person parameter estimates that differ from missing data IRT models applied to not-reached items. We propose using the SA model to model the missing data process and to use both, ability and speed, to describe the performance of test takers. We illustrate the application of the model in an empirical analysis.

     

What studying genetically-based disorders can tell us about ourselves

Bridging cognition, brain and genes: evidence from genetically-based syndromes, Fifth Annual Meeting of the Cognitive Neuroscience Society, 5-7 April 1998, San Francisco, CA, USA.