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Sprache: Englisch
Verlag: Cambridge University Press, 2020
ISBN 10: 1316639525 ISBN 13: 9781316639528
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Sprache: Englisch
Verlag: Cambridge University Press, 2020
ISBN 10: 1316639525 ISBN 13: 9781316639528
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ISBN 10: 1316639525 ISBN 13: 9781316639528
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Paperback. Zustand: new. Paperback. This book integrates philosophy of science, data acquisition methods, and statistical modeling techniques to present readers with a forward-thinking perspective on clinical science. It reviews modern research practices in clinical psychology that support the goals of psychological science, study designs that promote good research, and quantitative methods that can test specific scientific questions. It covers new themes in research including intensive longitudinal designs, neurobiology, developmental psychopathology, and advanced computational methods such as machine learning. Core chapters examine significant statistical topics, for example missing data, causality, meta-analysis, latent variable analysis, and dyadic data analysis. A balanced overview of observational and experimental designs is also supplied, including preclinical research and intervention science. This is a foundational resource that supports the methodological training of the current and future generations of clinical psychological scientists. This Handbook provides an overview and guide for state-of-the-art research methods in clinical psychological science. It is the ideal resource for clinical psychologists, graduate students studying clinical psychology, and practitioners or researchers in allied disciplines including psychiatry and social work. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Sprache: Englisch
Verlag: Cambridge University Press, 2020
ISBN 10: 1316639525 ISBN 13: 9781316639528
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Sprache: Englisch
Verlag: Cambridge University Press, 2020
ISBN 10: 1316639525 ISBN 13: 9781316639528
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Verlag: Medieval Academy of Ireland / Brepols, Cork, County Cork / Turnhout, Antwerpen, 1985
ISBN 10: 0003321592 ISBN 13: 9780003321593
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Softcover. Zustand: Very good condition. VIII, 401 pp. Volume 04 (1985). Softcover.
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Verlag: Cambridge University Press, 2020
ISBN 10: 1316639525 ISBN 13: 9781316639528
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In den WarenkorbPaperback. Zustand: new. Paperback. This book integrates philosophy of science, data acquisition methods, and statistical modeling techniques to present readers with a forward-thinking perspective on clinical science. It reviews modern research practices in clinical psychology that support the goals of psychological science, study designs that promote good research, and quantitative methods that can test specific scientific questions. It covers new themes in research including intensive longitudinal designs, neurobiology, developmental psychopathology, and advanced computational methods such as machine learning. Core chapters examine significant statistical topics, for example missing data, causality, meta-analysis, latent variable analysis, and dyadic data analysis. A balanced overview of observational and experimental designs is also supplied, including preclinical research and intervention science. This is a foundational resource that supports the methodological training of the current and future generations of clinical psychological scientists. This Handbook provides an overview and guide for state-of-the-art research methods in clinical psychological science. It is the ideal resource for clinical psychologists, graduate students studying clinical psychology, and practitioners or researchers in allied disciplines including psychiatry and social work. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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In den WarenkorbKartoniert / Broschiert. Zustand: New. This Handbook provides an overview and guide for state-of-the-art research methods in clinical psychological science. It is the ideal resource for clinical psychologists, graduate students studying clinical psychology, and practitioners or researchers in al.
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Verlag: Cambridge University Press, Cambridge, 2020
ISBN 10: 1316639525 ISBN 13: 9781316639528
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Paperback. Zustand: new. Paperback. This book integrates philosophy of science, data acquisition methods, and statistical modeling techniques to present readers with a forward-thinking perspective on clinical science. It reviews modern research practices in clinical psychology that support the goals of psychological science, study designs that promote good research, and quantitative methods that can test specific scientific questions. It covers new themes in research including intensive longitudinal designs, neurobiology, developmental psychopathology, and advanced computational methods such as machine learning. Core chapters examine significant statistical topics, for example missing data, causality, meta-analysis, latent variable analysis, and dyadic data analysis. A balanced overview of observational and experimental designs is also supplied, including preclinical research and intervention science. This is a foundational resource that supports the methodological training of the current and future generations of clinical psychological scientists. This Handbook provides an overview and guide for state-of-the-art research methods in clinical psychological science. It is the ideal resource for clinical psychologists, graduate students studying clinical psychology, and practitioners or researchers in allied disciplines including psychiatry and social work. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Sprache: Englisch
Verlag: Cambridge University Press Mai 2020, 2020
ISBN 10: 1316639525 ISBN 13: 9781316639528
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Verlag: Cambridge University Press, Cambridge, 2020
ISBN 10: 1107189845 ISBN 13: 9781107189843
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Hardcover. Zustand: new. Hardcover. This book integrates philosophy of science, data acquisition methods, and statistical modeling techniques to present readers with a forward-thinking perspective on clinical science. It reviews modern research practices in clinical psychology that support the goals of psychological science, study designs that promote good research, and quantitative methods that can test specific scientific questions. It covers new themes in research including intensive longitudinal designs, neurobiology, developmental psychopathology, and advanced computational methods such as machine learning. Core chapters examine significant statistical topics, for example missing data, causality, meta-analysis, latent variable analysis, and dyadic data analysis. A balanced overview of observational and experimental designs is also supplied, including preclinical research and intervention science. This is a foundational resource that supports the methodological training of the current and future generations of clinical psychological scientists. This Handbook provides an overview and guide for state-of-the-art research methods in clinical psychological science. It is the ideal resource for clinical psychologists, graduate students studying clinical psychology, and practitioners or researchers in allied disciplines including psychiatry and social work. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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ISBN 10: 1107189845 ISBN 13: 9781107189843
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In den WarenkorbHardcover. Zustand: new. Hardcover. This book integrates philosophy of science, data acquisition methods, and statistical modeling techniques to present readers with a forward-thinking perspective on clinical science. It reviews modern research practices in clinical psychology that support the goals of psychological science, study designs that promote good research, and quantitative methods that can test specific scientific questions. It covers new themes in research including intensive longitudinal designs, neurobiology, developmental psychopathology, and advanced computational methods such as machine learning. Core chapters examine significant statistical topics, for example missing data, causality, meta-analysis, latent variable analysis, and dyadic data analysis. A balanced overview of observational and experimental designs is also supplied, including preclinical research and intervention science. This is a foundational resource that supports the methodological training of the current and future generations of clinical psychological scientists. This Handbook provides an overview and guide for state-of-the-art research methods in clinical psychological science. It is the ideal resource for clinical psychologists, graduate students studying clinical psychology, and practitioners or researchers in allied disciplines including psychiatry and social work. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Gebunden. Zustand: New. InhaltsverzeichnisSection I. Clinical Psychological Science: An Evolving Field: 1. Trends in the evolving discipline of clinical psychology 2. Defining and refining phenotypes: operational definitions as open concepts 3. Building model.
Sprache: Englisch
Verlag: Cambridge University Press Mai 2020, 2020
ISBN 10: 1107189845 ISBN 13: 9781107189843
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Neuware - This forward-thinking handbook integrates philosophy of science, study design, and contemporary quantitative methods in clinical psychology.
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In den WarenkorbHardcover. Zustand: Brand New. 498 pages. 11.00x8.50x1.25 inches. In Stock.
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Verlag: Cambridge University Press, Cambridge, 2020
ISBN 10: 1107189845 ISBN 13: 9781107189843
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Hardcover. Zustand: new. Hardcover. This book integrates philosophy of science, data acquisition methods, and statistical modeling techniques to present readers with a forward-thinking perspective on clinical science. It reviews modern research practices in clinical psychology that support the goals of psychological science, study designs that promote good research, and quantitative methods that can test specific scientific questions. It covers new themes in research including intensive longitudinal designs, neurobiology, developmental psychopathology, and advanced computational methods such as machine learning. Core chapters examine significant statistical topics, for example missing data, causality, meta-analysis, latent variable analysis, and dyadic data analysis. A balanced overview of observational and experimental designs is also supplied, including preclinical research and intervention science. This is a foundational resource that supports the methodological training of the current and future generations of clinical psychological scientists. This Handbook provides an overview and guide for state-of-the-art research methods in clinical psychological science. It is the ideal resource for clinical psychologists, graduate students studying clinical psychology, and practitioners or researchers in allied disciplines including psychiatry and social work. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.