How prevalent is contextual information in research on school bullying?

Empirical articles on school bullying need to give contextual details of the study, including on participants (number, age, gender), the country in which data was gathered, and the year in which it was gathered. We argue that these are important aspects of information, and that country and year of data collection cannot be inferred unambiguously unless they are explicitly stated. We report an analysis of contextual information on a sample of 201 articles, from 1976 to 2015, on school bullying. The great majority of studies gave information on number and age of participants, and most on gender balance. Most also gave explicit information on the country in which data was gathered. However only about one quarter of articles gave information on the date (year) in which data was gathered. For those that did, the average gap from data gathering to publication was 4 years, with a range of 1 to 11 years. We argue that the date of data collection is an important historical aspect, as many societal changes, even over a period of a few years, can impact on prevalence and nature of bullying. We recommend that besides participant and country information, year of data collection is routinely given in empirical articles on school bullying.     

Examples,practice problems,or both? Effects on motivation and learning in shorter and longer sequences

Research suggests some sequences of examples and problems (i.e., EE, EP) are more effective (higher test performance) and efficient (attained with equal/less mental effort) than others (PP, sometimes also PE). Recent findings suggest this is due to motivational variables (i.e., self-efficacy), but did not test this during the training phase. Moreover, prior research used only short task sequences. Therefore, we investigated effects on motivational variables, effectiveness, and efficiency in a short (Experiment 1; four learning tasks; n = 157) and longer task sequence (Experiment 2; eight learning tasks; n = 105). With short sequences, all example conditions were more effective, efficient, and motivating than PP. With longer sequences, all example conditions were more motivating and efficient than PP, but only EE was more effective than PP. Moreover, EE was most efficient during training, regardless of sequence length. These results suggest that example study (only) is more effective, efficient, and more motivating than PP.     

New Directions in the Conceptualization and Assessment of Personality—A Dynamic Systems Approach

In this paper, we demonstrate how an integrative approach to personality—one that combines within-person and between-person differences—can be achieved by drawing on the principles of dynamic systems theory. The dynamic systems perspective has the potential to reconcile both the stable and dynamic aspect of personality, it allows including different levels of analysis (i.e. traits and states), and it can account for regulatory mechanisms, as well as dynamic interactions between the elements of the system, and changes over time. While all of these features are obviously appealing, implementing a dynamic systems approach to personality is challenging. It requires new conceptual models, specific longitudinal research designs, and complex data analytical methods. In response to these issues, the first part of our paper discusses the Personality Dynamics model, a model that integrates the dynamic systems principles in a relatively straightforward way. Second, we review associated methodological and statistical tools that allow empirically testing the PersDyn model. Finally, the model and associated methodological and statistical tools are illustrated using an experience sampling methodology data set measuring Big Five personality states in 59 participants (N = 1916 repeated measurements). © 2020 The Authors. European Journal of Personality published by John Wiley & Sons Ltd on behalf of European Association of Personality Psychology