@article{KretschmannVockLuedtkeetal.2019, author = {Kretschmann, Julia and Vock, Miriam and L{\"u}dtke, Oliver and Jansen, Malte and Gronostaj, Anna}, title = {Effects of grade retention on students' motivation: A longitudinal study over 3 years of secondary school}, series = {The journal of educational psychology}, volume = {111}, journal = {The journal of educational psychology}, number = {8}, publisher = {American Psychological Association}, address = {Washington}, issn = {0022-0663}, doi = {10.1037/edu0000353}, pages = {1432 -- 1446}, year = {2019}, abstract = {Despite the fact that grade retention is now seen as controversial in many quarters, it remains common practice in numerous countries. Previous research on the effects of grade retention on student development has, however, generated ambiguous results, particularly in terms of motivational outcomes. This ambiguity has been attributed in part to a lack of high-quality studies including a longitudinal design, a suitable comparison group, and adequate statistical control of preretention differences. Based on longitudinal data of N = 3,288 German students over 3 years of secondary school, we examined differences in their academic self-concept, scholarly interests, learning motivation, and achievement motivation between those being retained in the 6th grade (n = 61) and those of the same age being promoted annually. To account for confounding variables, we applied full propensity score matching on baseline measures of the dependent variables, as well as various other covariates that have been found to be associated with the risk of retention (e.g., cognitive ability, academic performance, and family background variables). Results reveal a steep decline in students' academic self-concept, interests, and learning motivation during the last months spent in the original class, just before retention. For those measures that were available, negative effects were still partly significant after 1 year, but had diminished 2 years after grade retention. Contrary to predictions suggested by the big-fish-little-pond effect, we found no positive effects of retention on students' academic self-concept.}, language = {en} } @article{McKennaPfenningerHeinrichsetal.2022, author = {McKenna, Russell and Pfenninger, Stefan and Heinrichs, Heidi and Schmidt, Johannes and Staffell, Iain and Bauer, Christian and Gruber, Katharina and Hahmann, Andrea N. and Jansen, Malte and Klingler, Michael and Landwehr, Natascha and Lars{\´e}n, Xiaoli Guo and Lilliestam, Johan and Pickering, Bryn and Robinius, Martin and Tr{\"o}ndle, Tim and Turkovska, Olga and Wehrle, Sebastian and Weinand, Jann Michael and Wohland, Jan}, title = {High-resolution large-scale onshore wind energy assessments}, series = {Renewable energy}, volume = {182}, journal = {Renewable energy}, publisher = {Elsevier}, address = {Amsterdam}, issn = {0960-1481}, doi = {10.1016/j.renene.2021.10.027}, pages = {659 -- 684}, year = {2022}, abstract = {The rapid uptake of renewable energy technologies in recent decades has increased the demand of energy researchers, policymakers and energy planners for reliable data on the spatial distribution of their costs and potentials. For onshore wind energy this has resulted in an active research field devoted to analysing these resources for regions, countries or globally. A particular thread of this research attempts to go beyond purely technical or spatial restrictions and determine the realistic, feasible or actual potential for wind energy. Motivated by these developments, this paper reviews methods and assumptions for analysing geographical, technical, economic and, finally, feasible onshore wind potentials. We address each of these potentials in turn, including aspects related to land eligibility criteria, energy meteorology, and technical developments of wind turbine characteristics such as power density, specific rotor power and spacing aspects. Economic aspects of potential assessments are central to future deployment and are discussed on a turbine and system level covering levelized costs depending on locations, and the system integration costs which are often overlooked in such analyses. Non-technical approaches include scenicness assessments of the landscape, constraints due to regulation or public opposition, expert and stakeholder workshops, willingness to pay/accept elicitations and socioeconomic cost-benefit studies. For each of these different potential estimations, the state of the art is critically discussed, with an attempt to derive best practice recommendations and highlight avenues for future research.}, language = {en} }