Similarity in friendship networks: Selection or influence? The effect of constraining contexts and non-visible individual attributes

Most research on similarity in friendship networks focuses on clearly visible individual attributes (i.e. attitudes and behaviors) in contexts where choices whom to befriend are relatively unconstrained. These studies often reveal that social selection rather than social influence is the dominant cause of similarity among friends. We argue that in a setting where social collaboration is crucial and friendship choices are more constrained, influence might be the main reason for similarity found among friends. In addition, we examined whether social categorization and peer control amplifies the social influence process among friends. Using a stochastic actor-based model for network dynamics, we analyzed a three-wave dataset of first year Royal Netherlands Naval College officer students on friendship formation and military discipline. The data supports our first hypothesis that students adjust their own military discipline to that of their friends. Contrary to our expectations, we did not find support for the idea that individuals adjust their discipline more to friends who are of the same military specialty, and neither more to friends who exert peer control. We elaborate on these findings in the discussion.     

Transporting attachment and biobehavioral catch-up to Norwegian child welfare services: A feasibility study

Transportation of evidence-based programs (EBPs) to a new cultural setting is often preferred over the comprehensive process of developing a new program. Intervention fidelity has been suggested as a predictor of successful transportation. The present study examined whether fidelity and parent behavior improved when implementing the U.S.-developed Attachment and Biobehavioral Catch-up (ABC) intervention in Norwegian child welfare services (CWS). 11 child welfare workers received training and supervision to become ABC parent coaches. Fidelity was assessed through video-recordings of parent coaches' in vivo feedback at each home-visit session. Parent sensitive behavior was assessed using video-recordings of parent–child interactions, recorded before each ABC session. Mixed effects modeling showed that ABC fidelity increased over the course of training and supervision. Furthermore, parent behavior improved over the course of families' exposure to the intervention. These demonstrate that an EBP transported to a novel cultural setting can obtain promising levels of fidelity and intervention outcomes.     

The development of infants’ sensitivity to native versus non-native rhythm

Speech rhythm is considered one of the first windows into the native language, and the taxonomy of rhythm classes is commonly used to explain early language discrimination. Relying on formal rhythm classification is problematic for two reasons. First, it is not known to which extent infants’ sensitivity to language variation is attributable to rhythm alone, and second, it is not known how infants discriminate languages not classified in any of the putative rhythm classes. Employing a central-fixation preference paradigm with natural stimuli, this study tested whether infants differentially attend to native versus nonnative varieties that differ only in temporal rhythm cues, and both of which are rhythmically unclassified. An analysis of total looking time did not detect any rhythm preferences at any age. First-look duration, arguably more closely reflecting infants’ underlying perceptual sensitivities, indicated age-specific preferences for native versus non-native rhythm: 4-month-olds seemed to prefer the native-, and 6-month-olds the non-native language-variety. These findings suggest that infants indeed acquire native rhythm cues rather early, by the 4th month, supporting the theory that rhythm can bootstrap further language development. Our data on infants’ processing of rhythmically unclassified languages suggest that formal rhythm classification does not determine infants’ ability to discriminate language varieties.     

A New Approach to the Study of Tolerance: Conceptualizing and Measuring Acceptance,Respect, and Appreciation of Difference

Previous empirical research on tolerance suffers from a number of shortcomings, the most serious being the conceptual and operational conflation of (in)tolerance and prejudice. We design research to remedy this. First, we contribute to the literature by advancing research that distinguishes analytically between the two phenomena. We conceptualize tolerance as a value orientation towards difference. This definition—which is abstract and does not capture attitudes towards specific out-groups, ideas, or behaviors—allows for the analysis of tolerance within and between societies. Second, we improve the measurement of tolerance by developing survey items that are consistent with this conceptualization. We administer two surveys, one national (Sweden) and one cross-national (Australia, Denmark, Great Britain, Sweden, and the United States). Results from structural equation models show that tolerance is best understood as a three-dimensional concept, which includes acceptance of, respect for, and appreciation of difference. Analyses show that measures of tolerance have metric invariance across countries, and additional tests demonstrate convergent and discriminant validity. We also assess tolerance’s relationship to prejudice and find that only an appreciation of difference has the potential to reduce prejudice. We conclude that it is not only possible to measure tolerance in a way that is distinct from prejudice but also necessary if we are to understand the causes and consequences of tolerance.

     

A self‐motives perspective on feedback‐seeking behavior: Linking organizational behavior and social psychology research

Both the feedback‐seeking literature in management and the self‐motives domain in social psychology have focused on how motives affect the way in which people acquire information for self‐evaluation purposes. Despite apparent conceptual similarities, the implications of research in these domains have not been fully integrated. This paper aims to link research on feedback‐seeking behavior to recent theoretical developments in social psychology. First, the current perspective in management on feedback‐seeking motives is depicted. Second, a well‐established framework of self‐motives in social psychology is introduced. Third, similarities and differences between these two motivational perspectives are discussed and a first step towards integration is proposed. Fourth, it is demonstrated how a self‐motives perspective might guide future research on six key issues. Self‐motives might be useful in identifying new antecedents of feedback‐seeking behavior, resolving inconsistencies in the feedback‐seeking literature, understanding the interplay among feedback‐seeking motives, integrating feedback‐seeking and feedback reactions research, examining attitudinal outcomes of feedback‐seeking motives, and enhancing the feedback–performance relationship.     

High dimensional multivariate mixed models for binary questionnaire data

Summary.  Questionnaires that are used to measure the effect of an intervention often consist of different sets of items, each set possibly measuring another concept. Mixed models with set-specific random effects are a flexible tool to model the different sets of items jointly. However, computational problems typically arise as the number of sets increases. This is especially true when the random-effects distribution cannot be integrated out analytically, as with mixed models for binary data. A pairwise modelling strategy, in which all possible bivariate mixed models are fitted and where inference follows from pseudolikelihood theory, has been proposed as a solution. This approach has been applied to assess the effect of physical activity on psychocognitive functioning, the latter measured by a battery of questionnaires.     

The premium of inflation-indexed life insurances for the Romanian life table

This paper deals with the pricing process of life insurances that provide an insured sum indexed annually according to the current inflation rate. In these terms we propose an appropriate formula for the discount factor. In order to describe the inflation, we consider a stochastic autoregressive model. We deduce analytical expressions for the mean value and the variance of random variable defined as the present value of 1 unit indexed annually according to the inflation rate, payable over t years, when inflation is generated by an autoregressive process of order one. At the same time, we obtain numerical results for the Romanian life table, regarding the mean and the standard deviation for the actuarial present value of a pure endowment life insurance with the sum insured indexed annually with the inflation rate.