The Development of Structural Complexity in the Child's Concept of Family: The Effect of Cognitive Stage,Sex, and Intactness of Family

Twenty-eight boys and 28 girls at each of the Piagetian preoperational, concrete operational, and formal operational cognitive stages were given an interview focusing on their concepts of family. Half of each group were from intact families, and half were from divorced families. Interviews were scored for two structural aspects of the concept of family: conceptual level, and use of dimensions that structure the concept. The complexity of children's concepts was strongly related to cognitive stage and, to a lesser degree, to sex. Frequency of use of concept dimensions was strongly affected by general developmental level, though not specifically cognitive stage, and by intactness of family, but to a lesser degree by sex. Specific information is provided on the effect of these factors on perceptions of family composition, parental roles, and breadth of family activities.     

Learning,Motor Skill,and Long-Range Correlations

Long-range correlations have been evidenced in a number of experiments, generally using overlearned and overpracticed tasks. The authors hypothesized that long-range correlation could represent the byproduct of learning. They analyzed the series of periods produced by a group of expert and a group of novices during prolonged trials on a ski simulator. Results showed a very low variability in expert's series, as compared to novices. Fractal analyses showed that fluctuations were significantly more structured and correlated in experts. These results suggest that learning could be conceived as the progressive installation of complexity in the system.     

I Share,Therefore I Am: A U.S.−China Comparison of College Students' Motivations to Share Information About Climate Change

This study examines social cognitive factors that influence information sharing related to climate change. Survey data were collected in the United States and China. Social and epistemic motivations, negative emotion, and information seeking were significant predictors of information sharing in the U.S. sample. In the Chinese sample, however, social motivation and information seeking were the only significant predictors. These results suggest that psychological collectivism fosters information sharing. For theory development purposes, these findings suggest that besides information seeking and processing, the Risk Information Seeking and Processing model could account for information sharing as well, although evidence only surfaced in the U.S. sample. Practically, this study offers important pathways to improve information sharing related to climate change in the public sphere.     

Motivations for Political Discussion: Antecedents and Consequences on Civic Engagement

Scholarship on informal discussion of politics and current events has mainly focused on its cognitive, attitudinal, and behavioral effects. In comparison, fewer studies have addressed the antecedents of political talk. Using 2‐wave U.S. panel survey data, this study sheds light over 2 sets of motivations people may have for engaging in political conversation: civic‐oriented and social‐oriented goals; and their effects over civic participation. Using structural equation modeling, results suggest that both civic and social motivations are positive predictors of frequency of political discussion, and indirectly associated with civic engagement. From a theoretical perspective, these findings cast political talk as a more complex phenomenon than what deliberative theory suggests, and point to social motivations as an additional path to civic life.     

Multidimensions of Media Multitasking and Adaptive Media Selection

This study identifies 11 basic cognitive dimensions of media multitasking behaviors based upon resource theories. These dimensions provide a conceptual framework to help compare and synthesize media multitasking studies. In addition, using 2 empirical data sets, we examine how these cognitive dimensions interact with each other to predict choices of media multitasking behaviors in daily life in an adaptive manner to conserve limited mental resources. A systematic understanding of the multiple cognitive dimensions of media multitasking behaviors has the potential to foster theory‐guided designs and more mindful selection of media tasks, technologies, and environments to curb negative consequences of media multitasking and utilize its benefits.     

A systematic and transparent approach for assessing the methodological quality of intervention effectiveness research: the Study Design and Implementation Assessment Device (Study DIAD)

Assessments of studies meant to evaluate the effectiveness of interventions, programs, and policies can serve an important role in the interpretation of research results. However, evidence suggests that available quality assessment tools have poor measurement characteristics and can lead to opposing conclusions when applied to the same body of studies. These tools tend to (a) be insufficiently operational, (b) rely on arbitrary post-hoc decision rules, and (c) result in a single number to represent a multidimensional construct. In response to these limitations, a multilevel and hierarchical instrument was developed in consultation with a wide range of methodological and statistical experts. The instrument focuses on the operational details of studies and results in a profile of scores instead of a single score to represent study quality. A pilot test suggested that satisfactory between-judge agreement can be obtained using well-trained raters working in naturalistic conditions. Limitations of the instrument are discussed, but these are inherent in making decisions about study quality given incomplete reporting and in the absence of strong, contextually based information about the effects of design flaws on study outcomes.