Verwandte Artikel zu Nonparametric Statistics for Applied Research

Nonparametric Statistics for Applied Research - Softcover

 
9781493953943: Nonparametric Statistics for Applied Research

Inhaltsangabe

​​Non-parametric methods are widely used for studying populations that take on a ranked order (such as movie reviews receiving one to four stars). The use of non-parametric methods may be necessary when data have a ranking but no clear numerical interpretation, such as when assessing preferences. In terms of levels of measurement, non-parametric methods result in "ordinal" data. As non-parametric methods make fewer assumptions, their applicability is much wider than the corresponding parametric methods. In particular, they may be applied in situations where less is known about the application in question. Also, due to the reliance on fewer assumptions, non-parametric methods are more robust. Non-parametric methods have many popular applications, and are widely used in research in the fields of the behavioral sciences and biomedicine.

This is a textbook on non-parametric statistics for applied research. The authors propose to use a realistic yet mostly fictional situation and series of dialogues to illustrate in detail the statistical processes required to complete data analysis. This book draws on a readers existing elementary knowledge of statistical analyses to broaden his/her research capabilities. The material within the book is covered in such a way that someone with a very limited knowledge of statistics would be able to read and understand the concepts detailed in the text.

The "real world" scenario to be presented involves a multidisciplinary team of behavioral, medical, crime analysis, and policy analysis professionals work together to answer specific empirical questions regarding real-world applied problems. The reader is introduced to the team and the data set, and through the course of the text follows the team as they progress through the decision making process of narrowing the data and the research questions to answer the applied problem. In this way, abstract statistical concepts are translated into concrete and specific language.

This text uses one data set from which all examples are taken. This is radically different from other statistics books which provide a varied array of examples and data sets. Using only one data set facilitates reader-directed teaching and learning by providing multiple research questions which are integrated rather than using disparate examples and completely unrelated research questions and data.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Über die Autorin bzw. den Autor

Jared A. Linebach is an Assistant Professor of Forensic Psychology in the Criminal Justice Department at Clearwater Christian College. He earned his Ph.D. from the California School of Forensic Studies.  His research and publications involve judicial decision making and campus law enforcement.  He is a consultant for doctoral candidates regarding their methodological and statistical approaches to research.

Brian Tesch, MA has spent the past several years using his statistical knowledge to try and help other graduate students to not only learn about statistics, but to make statistics as a whole seem less terrifying. Throughout his academic career, he has focused on researching the impact of domestic violence within the LGBT community, and is now examining the policy and research problems surrounding transgender domestic abuse. He is currently working as a substance abuse counselor for Southeastern New Hampshire Alcohol & Drug Services, and is completing work on a Master of Science degree in the Ethics and Public Policy program at Suffolk University.

Lea M. Kovacsiss currently works as an adjunct instructor, teaching courses in criminal justice and the social sciences. She earned her Ph.D. from the California School of Forensic Studies, and her research interests include child homicide and government response to natural and man-made disasters.

 

Von der hinteren Coverseite

??Non-parametric methods are widely used for studying populations that take on a ranked order (such as movie reviews receiving one to four stars). The use of non-parametric methods may be necessary when data have a ranking but no clear numerical interpretation, such as when assessing preferences. In terms of levels of measurement, non-parametric methods result in "ordinal" data. As non-parametric methods make fewer assumptions, their applicability is much wider than the corresponding parametric methods. In particular, they may be applied in situations where less is known about the application in question. Also, due to the reliance on fewer assumptions, non-parametric methods are more robust. Non-parametric methods have many popular applications, and are widely used in research in the fields of the behavioral sciences and biomedicine.

This is a textbook on non-parametric statistics for applied research. The authors propose to use a realistic yet mostly fictional situation and series of dialogues to illustrate in detail the statistical processes required to complete data analysis. This book draws on a readers existing elementary knowledge of statistical analyses to broaden his/her research capabilities. The material within the book is covered in such a way that someone with a very limited knowledge of statistics would be able to read and understand the concepts detailed in the text.

The “real world” scenario to be presented involves a multidisciplinary team of behavioral, medical, crime analysis, and policy analysis professionals work together to answer specific empirical questions regarding real-world applied problems. The reader is introduced to the team and the data set, and through the course of the text follows the team as they progress through the decision making process of narrowing the data and the research questions to answer the applied problem. In this way, abstract statistical concepts are translated into concrete and specific language.

This text uses one data set from which all examples are taken. This is radically different from other statistics books which provide a varied array of examples and data sets. Using only one data set facilitates reader-directed teaching and learning by providing multiple research questions which are integrated rather than using disparate examples and completely unrelated research questions and data.

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Gebraucht kaufen

Zustand: Wie neu
Unread book in perfect condition...
Diesen Artikel anzeigen

EUR 17,15 für den Versand von Vereinigtes Königreich nach Deutschland

Versandziele, Kosten & Dauer

Gratis für den Versand innerhalb von/der Deutschland

Versandziele, Kosten & Dauer

Weitere beliebte Ausgaben desselben Titels

9781461490401: Nonparametric Statistics for Applied Research

Vorgestellte Ausgabe

ISBN 10:  1461490405 ISBN 13:  9781461490401
Verlag: Springer, 2013
Hardcover

Suchergebnisse für Nonparametric Statistics for Applied Research

Foto des Verkäufers

Jared A. Linebach|Brian P. Tesch|Lea M. Kovacsiss
Verlag: Springer New York, 2016
ISBN 10: 149395394X ISBN 13: 9781493953943
Neu Softcover

Anbieter: moluna, Greven, Deutschland

Verkäuferbewertung 4 von 5 Sternen 4 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Zustand: New. Bestandsnummer des Verkäufers 447956441

Verkäufer kontaktieren

Neu kaufen

EUR 47,23
Währung umrechnen
Versand: Gratis
Innerhalb Deutschlands
Versandziele, Kosten & Dauer

Anzahl: Mehr als 20 verfügbar

In den Warenkorb

Foto des Verkäufers

Jared A. Linebach
ISBN 10: 149395394X ISBN 13: 9781493953943
Neu Taschenbuch

Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Taschenbuch. Zustand: Neu. Neuware -¿¿Non-parametric methods are widely used for studying populations that take on a ranked order (such as movie reviews receiving one to four stars). The use of non-parametric methods may be necessary when data have a ranking but no clear numerical interpretation, such as when assessing preferences. In terms of levels of measurement, non-parametric methods result in 'ordinal' data. As non-parametric methods make fewer assumptions, their applicability is much wider than the corresponding parametric methods. In particular, they may be applied in situations where less is known about the application in question. Also, due to the reliance on fewer assumptions, non-parametric methods are more robust. Non-parametric methods have many popular applications, and are widely used in research in the fieldsof thebehavioral sciences and biomedicine.This isa textbookon non-parametric statistics for applied research.The authors propose tousea realistic yet mostly fictional situation and series of dialoguesto illustrate in detail the statistical processes required to complete data analysis. This book draws on a readers existing elementary knowledge of statistical analyses to broaden his/her research capabilities. The material within the book is covered in such a way that someone with a very limited knowledge of statistics would be able to read and understand the concepts detailed in the text.The¿real world¿ scenario to be presented involves amultidisciplinary team of behavioral, medical, crime analysis, and policy analysis professionals work together to answer specific empirical questions regarding real-world applied problems. The reader is introduced to the team and the data set, and through the course of the text follows the team as they progress through the decision making process of narrowing the data and the research questions to answer the applied problem. In this way, abstract statistical concepts are translated into concreteand specific language.This text uses one data set from which all examples are taken. This is radically different from other statistics books which provide a varied array of examples and data sets. Using only one data set facilitates reader-directed teaching and learning by providing multiple research questions which are integrated rather than using disparate examples and completely unrelated research questions and data.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 420 pp. Englisch. Bestandsnummer des Verkäufers 9781493953943

Verkäufer kontaktieren

Neu kaufen

EUR 53,49
Währung umrechnen
Versand: Gratis
Innerhalb Deutschlands
Versandziele, Kosten & Dauer

Anzahl: 2 verfügbar

In den Warenkorb

Foto des Verkäufers

Jared A. Linebach
ISBN 10: 149395394X ISBN 13: 9781493953943
Neu Taschenbuch
Print-on-Demand

Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware - Non-parametric methods are widely used for studying populations that take on a ranked order (such as movie reviews receiving one to four stars). The use of non-parametric methods may be necessary when data have a ranking but no clear numerical interpretation, such as when assessing preferences. In terms of levels of measurement, non-parametric methods result in 'ordinal' data. As non-parametric methods make fewer assumptions, their applicability is much wider than the corresponding parametric methods. In particular, they may be applied in situations where less is known about the application in question. Also, due to the reliance on fewer assumptions, non-parametric methods are more robust. Non-parametric methods have many popular applications, and are widely used in research in the fields of the behavioral sciences and biomedicine. This is a textbook on non-parametric statistics for applied research. The authors propose to use a realistic yet mostly fictional situation and series of dialogues to illustrate in detail the statistical processes required to complete data analysis. This book draws on a readers existing elementary knowledge of statistical analyses to broaden his/her research capabilities. The material within the book is covered in such a way that someone with a very limited knowledge of statistics would be able to read and understand the concepts detailed in the text.The 'real world' scenario to be presented involves a multidisciplinary team of behavioral, medical, crime analysis, and policy analysis professionals work together to answer specific empirical questions regarding real-world applied problems. The reader is introduced to the team and the data set, and through the course of the text follows the team as they progress through the decision making process of narrowing the data and the research questions to answer the applied problem. In this way, abstract statistical concepts are translated into concrete and specific language.This text uses one data set from which all examples are taken. This is radically different from other statistics books which provide a varied array of examples and data sets. Using only one data set facilitates reader-directed teaching and learning by providing multiple research questions which are integrated rather than using disparate examples and completely unrelated research questions and data. 420 pp. Englisch. Bestandsnummer des Verkäufers 9781493953943

Verkäufer kontaktieren

Neu kaufen

EUR 53,49
Währung umrechnen
Versand: Gratis
Innerhalb Deutschlands
Versandziele, Kosten & Dauer

Anzahl: 2 verfügbar

In den Warenkorb

Foto des Verkäufers

Jared A. Linebach
ISBN 10: 149395394X ISBN 13: 9781493953943
Neu Taschenbuch

Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Non-parametric methods are widely used for studying populations that take on a ranked order (such as movie reviews receiving one to four stars). The use of non-parametric methods may be necessary when data have a ranking but no clear numerical interpretation, such as when assessing preferences. In terms of levels of measurement, non-parametric methods result in 'ordinal' data. As non-parametric methods make fewer assumptions, their applicability is much wider than the corresponding parametric methods. In particular, they may be applied in situations where less is known about the application in question. Also, due to the reliance on fewer assumptions, non-parametric methods are more robust. Non-parametric methods have many popular applications, and are widely used in research in the fields of the behavioral sciences and biomedicine. This is a textbook on non-parametric statistics for applied research. The authors propose to use a realistic yet mostly fictional situation and series of dialogues to illustrate in detail the statistical processes required to complete data analysis. This book draws on a readers existing elementary knowledge of statistical analyses to broaden his/her research capabilities. The material within the book is covered in such a way that someone with a very limited knowledge of statistics would be able to read and understand the concepts detailed in the text.The 'real world' scenario to be presented involves a multidisciplinary team of behavioral, medical, crime analysis, and policy analysis professionals work together to answer specific empirical questions regarding real-world applied problems. The reader is introduced to the team and the data set, and through the course of the text follows the team as they progress through the decision making process of narrowing the data and the research questions to answer the applied problem. In this way, abstract statistical concepts are translated into concreteand specific language.This text uses one data set from which all examples are taken. This is radically different from other statistics books which provide a varied array of examples and data sets. Using only one data set facilitates reader-directed teaching and learning by providing multiple research questions which are integrated rather than using disparate examples and completely unrelated research questions and data. Bestandsnummer des Verkäufers 9781493953943

Verkäufer kontaktieren

Neu kaufen

EUR 58,55
Währung umrechnen
Versand: Gratis
Innerhalb Deutschlands
Versandziele, Kosten & Dauer

Anzahl: 1 verfügbar

In den Warenkorb

Beispielbild für diese ISBN

Linebach, Jared A. A.; Tesch, Brian P.; Kovacsiss, Lea M.
Verlag: Springer, 2016
ISBN 10: 149395394X ISBN 13: 9781493953943
Neu Softcover

Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Zustand: New. In. Bestandsnummer des Verkäufers ria9781493953943_new

Verkäufer kontaktieren

Neu kaufen

EUR 59,85
Währung umrechnen
Versand: EUR 5,69
Von Vereinigtes Königreich nach Deutschland
Versandziele, Kosten & Dauer

Anzahl: Mehr als 20 verfügbar

In den Warenkorb

Foto des Verkäufers

Linebach, Jared A.; Tesch, Brian P.; Kovacsiss, Lea M.
Verlag: Springer, 2016
ISBN 10: 149395394X ISBN 13: 9781493953943
Neu Softcover

Anbieter: GreatBookPrices, Columbia, MD, USA

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Zustand: New. Bestandsnummer des Verkäufers 27023998-n

Verkäufer kontaktieren

Neu kaufen

EUR 54,18
Währung umrechnen
Versand: EUR 17,14
Von USA nach Deutschland
Versandziele, Kosten & Dauer

Anzahl: Mehr als 20 verfügbar

In den Warenkorb

Beispielbild für diese ISBN

Jared A. Linebach
ISBN 10: 149395394X ISBN 13: 9781493953943
Neu Paperback / softback
Print-on-Demand

Anbieter: THE SAINT BOOKSTORE, Southport, Vereinigtes Königreich

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Paperback / softback. Zustand: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 861. Bestandsnummer des Verkäufers C9781493953943

Verkäufer kontaktieren

Neu kaufen

EUR 68,05
Währung umrechnen
Versand: EUR 8,64
Von Vereinigtes Königreich nach Deutschland
Versandziele, Kosten & Dauer

Anzahl: Mehr als 20 verfügbar

In den Warenkorb

Foto des Verkäufers

Linebach, Jared A.; Tesch, Brian P.; Kovacsiss, Lea M.
Verlag: Springer, 2016
ISBN 10: 149395394X ISBN 13: 9781493953943
Neu Softcover

Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Zustand: New. Bestandsnummer des Verkäufers 27023998-n

Verkäufer kontaktieren

Neu kaufen

EUR 59,84
Währung umrechnen
Versand: EUR 17,15
Von Vereinigtes Königreich nach Deutschland
Versandziele, Kosten & Dauer

Anzahl: Mehr als 20 verfügbar

In den Warenkorb

Beispielbild für diese ISBN

Linebach, Jared A.
Verlag: Springer, 2016
ISBN 10: 149395394X ISBN 13: 9781493953943
Neu Softcover
Print-on-Demand

Anbieter: Brook Bookstore On Demand, Napoli, NA, Italien

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Zustand: new. Questo è un articolo print on demand. Bestandsnummer des Verkäufers 4802f297fd9fd7f1916bfd31a7376981

Verkäufer kontaktieren

Neu kaufen

EUR 46,22
Währung umrechnen
Versand: EUR 40,00
Von Italien nach Deutschland
Versandziele, Kosten & Dauer

Anzahl: Mehr als 20 verfügbar

In den Warenkorb

Beispielbild für diese ISBN

Linebach, Jared A./ Tesch, Brian P./ Kovacsiss, Lea M.
Verlag: Springer Verlag, 2016
ISBN 10: 149395394X ISBN 13: 9781493953943
Neu Paperback

Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Paperback. Zustand: Brand New. reprint edition. 420 pages. 9.25x6.10x0.99 inches. In Stock. Bestandsnummer des Verkäufers x-149395394X

Verkäufer kontaktieren

Neu kaufen

EUR 80,15
Währung umrechnen
Versand: EUR 11,43
Von Vereinigtes Königreich nach Deutschland
Versandziele, Kosten & Dauer

Anzahl: 2 verfügbar

In den Warenkorb

Es gibt 9 weitere Exemplare dieses Buches

Alle Suchergebnisse ansehen