Couple disagreement: Inevitable and healthy? Belgian and Japanese conceptions

“Couples who argue together, stay together” is a popular English saying suggesting the necessity of disagreement for a healthy and stable romantic relationship. The present study explores whether Belgian and Japanese participants similarly view couple disagreement as a necessity, and whether conceptions of disagreement have implications for partners' ideas of how to deal with disagreement. We conducted four focus groups in each culture and analyzed them using thematic analysis. The findings suggested that Belgian participants thought that partners' needs unavoidably clash. They thus saw disagreement as inevitable. In contrast, Japanese participants thought of disagreement as avoidable. To avoid disagreement, they reported that they adjusted to and accepted the differences of their partner. Consistent with these respective conceptions of disagreement, Belgian participants highlighted the importance of addressing disagreement through open communication, while Japanese participants reported to frequently engage in indirect forms of communication such as mindreading. The differences in Belgian and Japanese conceptions of disagreement reflect different cultural notions of a healthy relationship, with Belgian partners valuing independence and Japanese emphasizing interdependence in the relationship. We discuss the implications of existing research on couple disagreement, which often starts from assumptions closer to the English saying and the Belgian conceptions of disagreement.     

Multigroup confirmatory factor analysis and structural invariance with age of the Behavior Rating Inventory of Executive Function (BRIEF)—French version

The parent and teacher forms of the French version of the Behavioral Rating Inventory of Executive Function (BRIEF) were used to evaluate executive function in everyday life in a large sample of healthy children (N = 951) aged between 5 and 18.

Several psychometric methods were applied, with a view to providing clinicians with tools for score interpretation. The parent and teacher forms of the BRIEF were acceptably reliable. Demographic variables (such as age and gender) were found to influence the BRIEF scores. Confirmatory factor analysis was then used to test five competing models of the BRIEF's latent structure. Two of these models (a three-factor model and a two-factor model, both based on a nine-scale structure) had a good fit. However, structural invariance with age was only obtained with the two-factor model.

The French version of the BRIEF provides a useful measure of everyday executive function and can be recommended for use in clinical research and practice.     

The prediction of intelligence in preschool children using alternative models to regression

Statistical prediction of an outcome variable using multiple independent variables is a common practice in the social and behavioral sciences. For example, neuropsychologists are sometimes called upon to provide predictions of preinjury cognitive functioning for individuals who have suffered a traumatic brain injury. Typically, these predictions are made using standard multiple linear regression models with several demographic variables (e.g., gender, ethnicity, education level) as predictors. Prior research has shown conflicting evidence regarding the ability of such models to provide accurate predictions of outcome variables such as full-scale intelligence (FSIQ) test scores. The present study had two goals: (1) to demonstrate the utility of a set of alternative prediction methods that have been applied extensively in the natural sciences and business but have not been frequently explored in the social sciences and (2) to develop models that can be used to predict premorbid cognitive functioning in preschool children. Predictions of Stanford–Binet 5 FSIQ scores for preschool-aged children is used to compare the performance of a multiple regression model with several of these alternative methods. Results demonstrate that classification and regression treesprovided more accurate predictions of FSIQ scores than does the more traditional regression approach. Implications of these results are discussed.