COCON – Swiss Longitudinal Survey of Children and Youth

Author(s):  
Marlis Buchmann ◽  
Jeanine Grütter ◽  
Corinne Igel

This study profile describes COCON – the acronym for COmpetence and CONtext. This is an interdisciplinary, multi-cohort and multi-informant longitudinal study with a primary focus on how children and adolescents cope with the developmental tasks of early life course transitions. It strives to detect the social and individual antecedents and consequences associated with the handling of these transitions. The project frames child and adolescent development in the triple theoretical perspective of challenges imposed by early transitions in the institutionalised life course, inequality in resources and opportunities, and young people’s competencies. Thanks to the longitudinal and multi-cohort design of the study, this conceptual perspective facilitates the joint examination of intra-individual development, inter-individual differences in developmental outcomes and social change in developmental processes.COCON consists of three age groups, whereby each groups represents a prototypical stage in the process of growing up: mid-childhood (6-year-olds), mid-adolescence (15-year-olds) and early adulthood (21-year-olds). The samples are representative for the French- and German-speaking parts of Switzerland. The large sample sizes and the multilingual context of Switzerland permit the analysis of group disparities as well as cross-cultural differences. The multi-informant component of the study includes the primary caregiver and class teacher.The current study profile outlines the most important characteristics of the study in the context of the conceptual framework and discusses strengths and caveats related to study management as well as ethical considerations and information on data availability.<br />Key messages<br /><ul><li>The COCON study is a multi-cohort and multi-informant longitudinal study which enlightens challenges imposed by early transitions.</li><br /><li>COCON examines intra-individual development, inter-individual differences in developmental outcomes, and social change.</li><br /><li>The large sample sizes and the multilingual context of Switzerland permit to analyze group disparities as well as cross-cultural differences.</li></ul>

2021 ◽  
pp. 004912412199552
Author(s):  
Christian Welzel ◽  
Lennart Brunkert ◽  
Stefan Kruse ◽  
Ronald F. Inglehart

Scholars study representative international surveys to understand cross-cultural differences in mentality patterns, which are measured via complex multi-item constructs. Methodologists in this field insist with increasing vigor that detecting “non-invariance” in how a construct’s items associate with each other in different national samples is an infallible sign of encultured in-equivalences in how respondents understand the items. Questioning this claim, we demonstrate that a main source of non-invariance is the arithmetic of closed-ended scales in the presence of sample mean disparity. Since arithmetic principles are culture-unspecific, the non-invariance that these principles enforce in statistical terms is inconclusive of encultured in-equivalences in semantic terms. Because of this inconclusiveness, our evidence reveals furthermore that non-invariance is inconsequential for the cross-cultural functioning of multi-item constructs as concerns their nomological linkages to other variables of interest. We discuss the implications of these insights for measurement validation in cross-cultural settings with large sample mean disparity.


2019 ◽  
Vol 42 ◽  
Author(s):  
Marco Del Giudice

Abstract The argument against innatism at the heart of Cognitive Gadgets is provocative but premature, and is vitiated by dichotomous thinking, interpretive double standards, and evidence cherry-picking. I illustrate my criticism by addressing the heritability of imitation and mindreading, the relevance of twin studies, and the meaning of cross-cultural differences in theory of mind development. Reaching an integrative understanding of genetic inheritance, plasticity, and learning is a formidable task that demands a more nuanced evolutionary approach.


2012 ◽  
Author(s):  
Steve M. J. Janssen ◽  
Anna Gralak ◽  
Yayoi Kawasaki ◽  
Gert Kristo ◽  
Pedro M. Rodrigues ◽  
...  

2014 ◽  
Author(s):  
Matthew S. Anderson ◽  
Michael K. Lunn ◽  
Ronald W. Wright ◽  
Alicia Limke

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