@article{SchneiderHelmke1986,
  author    = {Schneider, Wolfgang and Helmke, Andreas},
  title     = {The role of classroom differences in achievement changes},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-87356},
  year      = {1986},
  abstract  = {A combined criterion involving the regression slopes of pretest-posttest achievement scores and achievement gain scores was used to classify similar types of classrooms. Mathematics achievement differences among 632 fifth graders were analysed in a longitudinal design and explained in a structural equation framework provided by LISREL, separately for four types of classrooms. The results replicated the findings of an earlier study (Schneider \& Treiber, 1984) in that the local nature of achievement models could be demonstrated. That is, the structural components of the causal models could not be generalized across the four groups of classrooms. The inclusion of a second grouping criterion (i. e., achievement gainJ proved useful in that a better model fit was always obtained for classrooms with high achievement gains. As a global model test ignoring group and classroom membership did mask the differential validity of the achievement model in the various subgro.ups, the need for multilevel approaches was emphasized.},
  subject      = {Schulleistung},
  language  = {en}
}
@incollection{WeinertHelmkeSchneider1990,
  author    = {Weinert, Franz E. and Helmke, Andreas and Schneider, Wolfgang},
  title     = {Individual differences in learning Performance and in school achievement: Plausible parallels and some unexplained discrepancies},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-71210},
  publisher      = {Universit{\"a}t W{\"u}rzburg},
  year      = {1990},
  abstract  = {No abstract available.},
  subject      = {Lernerfolg},
  language  = {en}
}
@phdthesis{Marker2020,
  author    = {Marker, Caroline},
  title     = {On a meta-level: Contributions of meta-analytic summaries in media psychological research},
  doi       = {10.25972/OPUS-20917},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-209173},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2020},
  abstract  = {The rising use of new media has given rise to public discussions about their possible negative consequences. The social sciences have answered these concerns, providing many studies investigating different media types (e.g., social media, video games) and different related variables (e.g., psychological well-being, academic achievement). Within this big body of research, some research results have confirmed negative associations with frequent media use; other studies have found no or even positive relationships. With heterogeneous results, it is difficult to obtain a clear picture of the relationships and causalities of new media. The method of meta-analysis allows a synthesis of all existing data, providing an overall effect size as well as moderator and mediator analyses which might explain the heterogeneity. Three manuscripts present meta-analytic evidence related to a) the relationship between social media use and academic achievement, b) the relationship between video gaming and overweight, and c) the relationship between social media and psychological correlates. Manuscript \#1 found small relationships which depend on the usage pattern of social media. The relationship is positive, as long as social media use is related to school. Manuscript \#2 showed that children's and adolescents' video gaming is independent from their body mass, while adults who play more have a higher body mass. Manuscript \#3 summarized existing meta-analytic evidence that links social media with psychological wellbeing, academic achievement, and narcissism with small to moderate effect sizes. All three manuscripts underscore the potential of meta-analyses to synthesize previous research and to identify moderators. Although meta-analyses are not necessarily superior to other approaches because of their limitations (e.g. limited information or quality of primary studies) they are very promising for media psychology. Meta-analyses can reduce complexity and might be helpful for the communication of research results to the general public.},
  subject      = {Medienkonsum},
  language  = {en}
}