The thrust of this book is to educate policymakers, academics, political scientists, and others as to the beneficial use of psychological principles within a multidisciplinary framework to aid in the development of more productive policy. Contributors to this volume offer an integrative, collaborative, synergistic approach to effecting positive change. The book's goal is threefold: to offer a varied collection of solutions and models of applications of psychological principles; to collect a diverse group of experts (academics, theorists, and practitioners) whose expertise spans some of the top managed care firms, institutions of higher learning, national consultants, schools, and health care facilities; and to integrate this collection of pragmatic theorists into one volume with a general, but common focus - improving society.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
CHRIS E. STOUT is a licensed clinical psychologist who has published or presented over 300 papers, including 14 books. He was trained at Purdue University, Harvard Medical School (as a fellow), and the University of Chicago. He consulted with the White House on National Education Matters. Stout is an Associate Professor of Psychology, Associate Administrator of Psychology at Forest Health Systems, and is active in clinical, administrative, and consultative aspects of behavioral health.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Hardcover. Etat : new. Hardcover. The purpose of this book is to show that the prevalent view of personal characteristics, which has been influenced to a large extent by factor analysis, may not be the soundest or the most useful. Structural equation modeling entails a more comprehensive approach to modeling relationships between variables than factor analysis and enables one to test alternative models to the factor model in accounting for these relationships.In this work this proposition is demonstrated by drawing on the research the authors have conducted in three important domains of personal characteristics--abilities, personality disorders, and self-attitudes. The authors' discoveries in these areas have far-reaching and innovative implications not only for psychological and psychosocial theory but also for applied areas such as teaching, psychotherapy, and communication. Argues that when looking at personal characteristics, structural equation modelling entails a more comprehensive approach to modelling relationships between variables than factor analysis. The authors look to abilities, personality disorders and self-attitudes to support their theories. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9780275939953
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Hardcover. Etat : new. Hardcover. The purpose of this book is to show that the prevalent view of personal characteristics, which has been influenced to a large extent by factor analysis, may not be the soundest or the most useful. Structural equation modeling entails a more comprehensive approach to modeling relationships between variables than factor analysis and enables one to test alternative models to the factor model in accounting for these relationships.In this work this proposition is demonstrated by drawing on the research the authors have conducted in three important domains of personal characteristics--abilities, personality disorders, and self-attitudes. The authors' discoveries in these areas have far-reaching and innovative implications not only for psychological and psychosocial theory but also for applied areas such as teaching, psychotherapy, and communication. Argues that when looking at personal characteristics, structural equation modelling entails a more comprehensive approach to modelling relationships between variables than factor analysis. The authors look to abilities, personality disorders and self-attitudes to support their theories. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9780275939953
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