International research networks: Determinants of country embeddedness     

Holger Graf  Martin Kalthaus 《Research Policy》2018,47(7):1198-1214

Research activities are increasingly global so that embeddedness in international knowledge networks is decisive for inventive and innovative performance. We analyze determinants of countries’ embeddedness in the global photovoltaics knowledge network for the period 1980–2015 and argue that positions in this network are determined by the structure and functionality of national research systems and by instruments within the policy-mix for renewable energies. We show that cohesion and connectedness of the national research system positively affect international embeddedness, whereas centralized systems are detrimental to embeddedness. This indicates that a diffusion oriented research system allows better access to international knowledge flows. Policy instruments, especially demand side instruments, show a positive effect on embeddedness.  相似文献   

No condition is permanent: An interview with Chinua Achebe     

Holger?EhlingEmail author 《Publishing Research Quarterly》2003,19(1):55-69

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“… And Please Visit Our Facebook Page,Too!” How Radio Presenter Personalities Influence Listeners’ Interactions With Radio Stations     

Benedikt Spangardt  Nicolas Ruth  Holger Schramm 《Journal of Radio & Audio Media》2016,23(1):68-94

Radio personalities or presenters are important to music radio stations, as their individual personalities influence if, how, and to what extent listeners want to interact with radio stations and presenters during programs. Both parasocial interaction with the presenter and flow experiences are believed to mediate the listener–presenter relationship. With this in mind, we conducted an experiment in which 236 German radio listeners aged 14 to 49 were asked to listen to the same radio show, but with varying presenters. Mediation analysis revealed notable effects of presenters’ personalities on listeners’ behavioral intentions. Both parasocial interaction and flow were found to be important mediators of the discovered effects.  相似文献   

Welche schulischen Merkmale beeinflussen die Unterrichtsqualität? Sekundäranalysen auf Grundlage von Schulinspektionsdaten     

Holger Gärtner 《Zeitschrift für Erziehungswissenschaft》2016,19(3):509-526

The present study examines the assumption of positive correlations between certain characteristics of school organization (goals, organization and human resources) and teaching quality. Therefore, inspection data from the Brandenburg school inspection are examined. These data are suitable due to the wide coverage of school and teaching characteristics and the fact that data from approximate all public schools is available. The results confirm positive correlations between school characteristics and teaching quality at the school level in the range of small to medium effects. Moreover, with an increase in school characteristics, the variation of teaching quality within a school decreases (small effects). The study provides evidence on potentials and limitations of inspection data for school quality research and the optimization of current inspection instruments.  相似文献   

Cause and causality in daycare research: An investigation of group differences in Swedish child care     

Holger Wessels  Michael E. Lamb  Carl-Philip Hwang 《European Journal of Psychology of Education - EJPE》1996,11(2):231-245

One of the most important goals of child care research has been to determine whether or not nonparental care has adverse effects on child development. Answering this question involves making causal attributions about the origins of differences between groups of children who have experienced divergent nonparental care arrangements. Some of the problems researchers face when trying to demonstrate causal relationships are illustrated in this paper using data from the Göteborg Child Care Study, a comprehensive, prospective, longitudinal study comparing the developmental trajectories of children in exclusive home care, family daycare, and center daycare. It is argued that the discovery of significant differences between groups must initiate extensive efforts to validate and interpret the findings. Focusing on the specific characteristics of prospective longitudinal studies, the article shows what measures can be taken to avoid the misinterpretation of group differences that are actually attributable to pre-selection effects or confounding variables. By rigorously identifying such confounds, researchers can accumulate support for hypothesized causal relationships, but they cannot ‘prove’ them because unknown and unmeasured confounding variables may always have important effects.  相似文献   

An Adaptive Bayesian Lasso Approach with Spike-and-Slab Priors to Identify Multiple Linear and Nonlinear Effects in Structural Equation Models     

Holger Brandt  Jenna Cambria  Augustin Kelava 《Structural equation modeling》2018,25(6):946-960

In applied research, such as with motivation theories, typically many variables are theoretically implied predictors of an outcome and several interactions are assumed (e.g., Watt, 2004). However, estimation problems that might arise when several interaction and/or quadratic effects are analyzed simultaneously have not been investigated because simulation studies on interaction effects in the structural equation modeling framework have mainly focused on small models that contain single interaction effects. In this article, we show that traditional approaches can provide estimates with low accuracy when complex models are estimated. We introduce an adaptive Bayesian lasso approach with spike-and-slab priors that overcomes this problem. Using a complex model in a simulation study, we show that the parameter estimates of the proposed approach are more accurate in situations with high multicollinearity or low reliability compared with a standard Bayesian lasso approach and typical frequentist approaches (i.e., unconstrained product indicator approach and latent moderated structures approach).  相似文献