scholarly journals Parenting and Youth Purpose: Fostering Other-Oriented Aims

Youth ◽  
2021 ◽  
Vol 1 (1) ◽  
pp. 2-13
Author(s):  
Terese Jean Lund ◽  
Belle Liang ◽  
Jonathan Sepulveda ◽  
Allison E. White ◽  
Kira Patel ◽  
...  

Youth purpose is defined as a life aim that is both personally meaningful and contributes to the world beyond the self. This study disaggregated other-oriented (OO) aims (i.e., purpose as defined as a life aim intended to contribute to the world) and self-oriented (SO) aims (i.e., a personally meaningful life aim without intention to contribute beyond the self) to examine the development of youth who evince various combinations of high and low OO and SO aims. In a sample of 207 adolescent girls, hierarchical cluster analysis revealed three clusters: High SO–High OO (“Self and Other-Oriented Aims”), High SO–Low OO (“Self-Oriented Aims”), and High OO–Low SO (“Other-Oriented Aims”). A MANOVA indicated that youth who reported higher levels of parental trust and communication were more likely to have OO purpose (i.e., “Self and Other-Oriented Aims” and “Other-Oriented Aims”) versus primarily SO aims (“Self-Oriented Aims”). The “Self and Other-Oriented Aims” cluster was associated with better psychosocial functioning.

2017 ◽  
Vol 50 (6) ◽  
pp. 801-817 ◽  
Author(s):  
Belle Liang ◽  
Terese Lund ◽  
Angela Mousseau ◽  
Allison E. White ◽  
Renée Spencer ◽  
...  

Scholars have differentiated other-oriented (OO) purpose (i.e., a personally meaningful life aim intended to contribute to the world beyond the self) and self-oriented (SO) purpose (i.e., a personally meaningful life aim without intention to contribute beyond the self). OO purpose is associated with adolescent thriving, yet little is known about how to cultivate it. In a study of 207 adolescent girls, we examined how positive parent–adolescent relationships may contribute to developing OO versus SO purpose; we also tested whether the association between parent–adolescent relationships and OO purpose was mediated by prosocial behavior.


Author(s):  
Milan Radojicic ◽  
Aleksandar Djokovic ◽  
Nikola Cvetkovic

Unpredictable and uncontrollable situations have happened throughout history. Inevitably, such situations have an impact on various spheres of life. The coronavirus disease 2019 has affected many of them, including sports. The ban on social gatherings has caused the cancellation of many sports competitions. This paper proposes a methodology based on hierarchical cluster analysis (HCA) that can be applied when a need occurs to end an interrupted tournament and the conditions for playing the remaining matches are far from ideal. The proposed methodology is based on how to conclude the season for Serie A, a top-division football league in Italy. The analysis showed that it is reasonable to play 14 instead of the 124 remaining matches of the 2019–2020 season to conclude the championship. The proposed methodology was tested on the past 10 seasons of the Serie A, and its effectiveness was confirmed. This novel approach can be used in any other sport where round-robin tournaments exist.


2010 ◽  
Vol 41 (2) ◽  
pp. 126-133 ◽  
Author(s):  
N. Kalamaras ◽  
H. Michalopoulou ◽  
H. R. Byun

In this study a method proposed by Byun & Wilhite, which estimates drought severity and duration using daily precipitation values, is applied to data from stations at different locations in Greece. Subsequently, a series of indices is calculated to facilitate the detection of drought events at these sites. The results provide insight into the trend of drought severity in the region. In addition, the seasonal distribution of days with moderate and severe drought is examined. Finally, the Hierarchical Cluster Analysis method is used to identify sites with similar drought features.


2019 ◽  
Vol 15 (S367) ◽  
pp. 397-399
Author(s):  
Arturo Colantonio ◽  
Irene Marzoli ◽  
Italo Testa ◽  
Emanuella Puddu

AbstractIn this study, we identify patterns among students beliefs and ideas in cosmology, in order to frame meaningful and more effective teaching activities in this amazing content area. We involve a convenience sample of 432 high school students. We analyze students’ responses to an open-ended questionnaire with a non-hierarchical cluster analysis using the k-means algorithm.


Author(s):  
Swarna Rajagopalan ◽  
Wesley Baker ◽  
Elizabeth Mahanna-Gabrielli ◽  
Andrew William Kofke ◽  
Ramani Balu

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