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Chapter 15 starts with the identification of essential patterns by analyzing distributions of groups of variables (with similar patterns) among a large number of optimal-size biomarkers generated by parallel feature selection experiments. A similar approach leads to the identification of the essential variables of those essential patterns. As a result, the final multivariate biomarker identified via this method is most likely to represent a real population pattern associated with biological processes underlying changes in the investigated response variable. Furthermore, having the variables of the final biomarker associated with their respective essential patterns facilitates biological interpretation of the biomarker.
Prosociality is a multifaceted concept referring to the many ways in which individuals care about and benefit others. Human prosociality is foundational to social harmony, happiness, and peace; it is therefore essential to understand its underpinnings, development, and cultivation. This handbook provides a state-of-the-art, in-depth account of scientific, theoretical, and practical knowledge regarding prosociality and its development. Its thirty chapters, written by international researchers in the field, elucidate key issues, including: the development of prosociality across infancy, childhood, adolescence, and beyond; the biological, cognitive, emotional, and motivational mechanisms that underlie and influence prosociality; how different socialization agents and social contexts can affect children's prosociality; and intervention approaches aimed at cultivating prosociality in children and adolescents. This knowledge can benefit researchers, students, practitioners, and policy makers seeking to nurture socially responsible, caring youth.
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