How Do Young Adults Orchestrate Their Multiple Achievement-Related Goals? : Associations of Achievement Goal Orientations With Identity Formation and Goal Appraisals

Young adults strive for multiple achievement goals. Frameworks for achievement goal orientations, personal goals, and identity formation have emphasized the role of goal-specific exploration and commitment in the interpretation of goals. However, researchers have yet to combine these different perspectives in an empirical study. Therefore, to explore the processes involved in the selection of multiple goals, the present study investigated the associations of young adults’ achievement goal orientations (mastery-intrinsic, mastery-extrinsic, performance-approach, performance-avoidance, and work-avoidance orientations) with distinct styles of exploring and committing to goals, by considering different dimensions of identity formation (commitment making, identification with commitment, exploration in breadth, exploration in depth, and ruminative exploration) and achievement-related personal goal appraisals (commitment, effort, and progress). Latent change score models were applied to a longitudinal sample of 577 young Finns followed from age 23 to 25 to investigate cross-sectional and longitudinal associations with achievement goal orientations. The analyses revealed significant associations of identification with commitment and exploration in breadth and goal effort with the initial levels of mastery-intrinsic and mastery-extrinsic orientations. Notably, these dimensions of identity formation, goal effort, and mastery goal orientations accentuate motives for self-development and self-improvement. Although the associations were not supported by the longitudinal analyses, it seems fruitful to integrate different theoretical frameworks to further the understanding of the underlying processes in the pursuit of multiple goals.Peer reviewe

A classification system for teachers’ motivational behaviors recommended in self-determination theory interventions

Teachers’ behavior is a key factor that influences students’ motivation. Many theoretical models have tried to explain this influence, with one of the most thoroughly researched being self-determination theory (SDT). We used a Delphi method to create a classification of teacher behaviors consistent with SDT. This is useful because SDT-based interventions have been widely used to improve educational outcomes. However, these interventions contain many components. Reliably classifying and labeling those components is essential for implementation, reproducibility, and evidence synthesis. We used an international expert panel (N = 34) to develop this classification system. We started by identifying behaviors from existing literature, then refined labels, descriptions, and examples using the Delphi panel’s input. Next, the panel of experts iteratively rated the relevance of each behavior to SDT, the psychological need that each behavior influenced, and its likely effect on motivation. To create a mutually exclusive and collectively exhaustive list of behaviors, experts nominated overlapping behaviors that were redundant, and suggested new ones missing from the classification. After three rounds, the expert panel agreed upon 57 teacher motivational behaviors (TMBs) that were consistent with SDT. For most behaviors (77%), experts reached consensus on both the most relevant psychological need and influence on motivation. Our classification system provides a comprehensive list of TMBs and consistent terminology in how those behaviors are labeled. Researchers and practitioners designing interventions could use these behaviors to design interventions, to reproduce interventions, to assess whether these behaviors moderate intervention effects, and could focus new research on areas where experts disagreed. (PsycInfo Database Record (c) 2023 APA, all rights reserved

A classification system for teachers’ motivational behaviors recommended in self-determination theory interventions.

Teachers’ behavior is a key factor that influences students’ motivation. Many theoretical models have tried to explain this influence, with one of the most thoroughly researched being self-determination theory (SDT). We used a Delphi method to create a classification of teacher behaviors consistent with SDT. This is useful because SDT-based interventions have been widely used to improve educational outcomes. However, these interventions contain many components. Reliably classifying and labeling those components is essential for implementation, reproducibility, and evidence synthesis.We used an international expert panel (N = 34) to develop this classification system. We started by identifying behaviors from existing literature, then refined labels, descriptions, and examples using the Delphi panel’s input. Next, the panel of experts iteratively rated the relevance of each behavior to SDT, the psychological need that each behavior influenced, and its likely effect on motivation. To create a mutually exclusive and collectively exhaustive list of behaviors, experts nominated overlapping behaviors that were redundant, and suggested new ones missing from the classification. After three rounds, the expert panel agreed upon 57 teacher motivational behaviors (TMBs) that were consistent with SDT. For most behaviors (77%), experts reached consensus on both the most relevant psychological need and influence on motivation. Our classification system provides a comprehensive list of TMBs and consistent terminology in how those behaviors are labeled. Researchers and practitioners designing interventions could use these behaviors to design interventions, to reproduce interventions, to assess whether these behaviors moderate intervention effects, and could focus new research on areas where experts disagreed

Soziale und emotionale Entwicklung hochbegabter Kinder. Skalendokumentation des ersten Messzeitpunkts.

Im Rahmen des von der Klaus-Tschira-Stiftung geförderten Projekts "Sozio-emotionale Entwicklung hochbegabter Kinder" wird der Frage nachgegangen, wie sich außerschulische Angebote für Kinder mit besonderen Begabungen auf deren Entwicklung sozialer und emotionaler Kompetenzen auswirkt. Der vorliegende Band präsentiert die bei der Fragebogenstudie verwendeten Erhebungsinstrumente der ersten Befragungswelle

Beneficial for some or for everyone? Exploring the effects of an autonomy-supportive intervention in the real-life classroom

Flunger B, Mayer A, Umbach N. Beneficial for some or for everyone? Exploring the effects of an autonomy-supportive intervention in the real-life classroom. Journal of Educational Psychology. 2019;111(2):210-234

Effect Analysis Using Nonlinear Structural Equation Mixture Modeling

In this article, we present an approach for comprehensive analysis of the effectiveness of interventions based on nonlinear structural equation mixture models (NSEMM). We provide definitions of average and conditional effects and show how they can be computed. We extend the traditional moderated regression approach to include latent continous and discrete (mixture) variables as well as their higher order interactions, quadratic or more general nonlinear relationships. This new approach can be considered a combination of the recently proposed EffectLiteR approach and the NSEMM approach. A key advantage of this synthesis is that it gives applied researchers the opportunity to gain greater insight into the effectiveness of the intervention. For example, it makes it possible to consider structural equation models for situations where the treatment is noneffective for extreme values of a latent covariate but is effective for medium values, as we illustrate using an example from the educational sciences

Effect Analysis Using Nonlinear Structural Equation Mixture Modeling

Mayer A, Umbach N, Flunger B, Kelava A. Effect Analysis Using Nonlinear Structural Equation Mixture Modeling. Structural Equation Modeling: A Multidisciplinary Journal. 2017;24(4):556-570.In this article, we present an approach for comprehensive analysis of the effectiveness of interventions based on nonlinear structural equation mixture models (NSEMM). We provide definitions of average and conditional effects and show how they can be computed. We extend the traditional moderated regression approach to include latent continous and discrete (mixture) variables as well as their higher order interactions, quadratic or more general nonlinear relationships. This new approach can be considered a combination of the recently proposed EffectLiteR approach and the NSEMM approach. A key advantage of this synthesis is that it gives applied researchers the opportunity to gain greater insight into the effectiveness of the intervention. For example, it makes it possible to consider structural equation models for situations where the treatment is noneffective for extreme values of a latent covariate but is effective for medium values, as we illustrate using an example from the educational sciences

It’s more about a lesson than a domain: Lesson-specific autonomy support, motivation, and engagement in math and a second language

Expanding research on the relative impact of different autonomy-supportive strategies employed by teachers across domains, the present study investigated the variation in 4 lesson-specific autonomy-supportive strategies (providing choices, rationales, accepting frustration, and stimulating interests) and 6 aspects of students' motivation and engagement in 2 domains with a repeated measurement design. For 3 weeks, 202 Dutch students from 8 eighth grade classes and 1 ninth-grade class and 12 teachers completed lesson-specific measures at the end of Math and German lessons. Students' perceptions of teachers' autonomy support and their motivation and engagement varied considerably across lessons within a domain (variance at the within-student level ranged from 19% to 51%). In random intercept-random slope models, we found that all autonomy-supportive strategies showed meaningful associations with aspects of students’ motivation and engagement. We did not find substantial domain-dependency in the associations between autonomy support and the outcomes