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100%: Herausgeber: Mark Stemmler, Series Editor: Alexander von Eye, Series Editor: Wolfgang Wiedermann: Dependent Data In Social Sciences Research: Forms, Issues, And Methods Of Analysis (ISBN: 9783319372273) in Englisch, Broschiert.Nur diese Ausgabe anzeigen…
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Dependent Data In Social Sciences Research: Forms, Issues, And Methods Of Analysis
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Bester Preis: € 7,84 (vom 04.12.2019)1
Dependent Data in Social Sciences Research als von
DE HC NWISBN: 9783319372273 bzw. 3319372270, in Deutsch, gebundenes Buch, neu.
Lieferung aus: Deutschland, zzgl. Versandkosten.
Dependent Data in Social Sciences Research ab 128.49 EURO Forms, Issues, and Methods of Analysis. Softcover reprint of the original 1st ed. 2015. Dependent Data in Social Sciences Research ab 128.49 EURO Forms, Issues, and Methods of Analysis. Softcover reprint of the original 1st ed. 2015.
Dependent Data in Social Sciences Research ab 128.49 EURO Forms, Issues, and Methods of Analysis. Softcover reprint of the original 1st ed. 2015. Dependent Data in Social Sciences Research ab 128.49 EURO Forms, Issues, and Methods of Analysis. Softcover reprint of the original 1st ed. 2015.
2
Dependent Data in Social Sciences Research (2015)
~EN PB NW RPISBN: 3319372270 bzw. 9783319372273, vermutlich in Englisch, Springer International Publishing, Taschenbuch, neu, Nachdruck.
Dependent Data in Social Sciences Research ab 128.49 € als Taschenbuch: Forms Issues and Methods of Analysis. Softcover reprint of the original 1st ed. 2015. Aus dem Bereich: Bücher, Wissenschaft, Politikwissenschaft,.
3
Dependent Data in Social Sciences Research
~EN PB NWISBN: 9783319372273 bzw. 3319372270, vermutlich in Englisch, Springer Shop, Taschenbuch, neu.
Lieferung aus: Österreich, Lagernd, zzgl. Versandkosten.
This volume presents contributions on handling data in which the postulate of independence in the data matrix is violated. When this postulate is violated and when the methods assuming independence are still applied, the estimated parameters are likely to be biased, and statistical decisions are very likely to be incorrect. Problems associated with dependence in data have been known for a long time, and led to the development of tailored methods for the analysis of dependent data in various areas of statistical analysis. These methods include, for example, methods for the analysis of longitudinal data, corrections for dependency, and corrections for degrees of freedom. This volume contains the following five sections: growth curve modeling, directional dependence, dyadic data modeling, item response modeling (IRT), and other methods for the analysis of dependent data (e.g., approaches for modeling cross-section dependence, multidimensional scaling techniques, and mixed models). Researchers and graduate students in the social and behavioral sciences, education, econometrics, and medicine will find this up-to-date overview of modern statistical approaches for dealing with problems related to dependent data particularly useful. Soft cover.
This volume presents contributions on handling data in which the postulate of independence in the data matrix is violated. When this postulate is violated and when the methods assuming independence are still applied, the estimated parameters are likely to be biased, and statistical decisions are very likely to be incorrect. Problems associated with dependence in data have been known for a long time, and led to the development of tailored methods for the analysis of dependent data in various areas of statistical analysis. These methods include, for example, methods for the analysis of longitudinal data, corrections for dependency, and corrections for degrees of freedom. This volume contains the following five sections: growth curve modeling, directional dependence, dyadic data modeling, item response modeling (IRT), and other methods for the analysis of dependent data (e.g., approaches for modeling cross-section dependence, multidimensional scaling techniques, and mixed models). Researchers and graduate students in the social and behavioral sciences, education, econometrics, and medicine will find this up-to-date overview of modern statistical approaches for dealing with problems related to dependent data particularly useful. Soft cover.
4
Dependent Data In Social Sciences Research: Forms, Issues, And Methods Of Analysis
~EN NWISBN: 9783319372273 bzw. 3319372270, vermutlich in Englisch, neu.
Lieferung aus: Kanada, Lagernd, zzgl. Versandkosten.
This volume presents contributions on handling data in which the postulate of independence in the data matrix is violated. When this postulate is violated and when the methods assuming independence are still applied, the estimated parameters are likely to be biased, and statistical decisions are very likely to be incorrect. Problems associated with dependence in data have been known for a long time, and led to the development of tailored methods for the analysis of dependent data in various areas of statistical analysis. These methods include, for example, methods for the analysis of longitudinal data, corrections for dependency, and corrections for degrees of freedom. This volume contains the following five sections: growth curve modeling, directional dependence, dyadic data modeling, item response modeling (IRT), and other methods for the analysis of dependent data (e.g., approaches for modeling cross-section dependence, multidimensional scaling techniques, and mixed models). Researchers and graduate students in the social and behavioral sciences, education, econometrics, and medicine will find this up-to-date overview of modern statistical approaches for dealing with problems related to dependent data particularly useful.
This volume presents contributions on handling data in which the postulate of independence in the data matrix is violated. When this postulate is violated and when the methods assuming independence are still applied, the estimated parameters are likely to be biased, and statistical decisions are very likely to be incorrect. Problems associated with dependence in data have been known for a long time, and led to the development of tailored methods for the analysis of dependent data in various areas of statistical analysis. These methods include, for example, methods for the analysis of longitudinal data, corrections for dependency, and corrections for degrees of freedom. This volume contains the following five sections: growth curve modeling, directional dependence, dyadic data modeling, item response modeling (IRT), and other methods for the analysis of dependent data (e.g., approaches for modeling cross-section dependence, multidimensional scaling techniques, and mixed models). Researchers and graduate students in the social and behavioral sciences, education, econometrics, and medicine will find this up-to-date overview of modern statistical approaches for dealing with problems related to dependent data particularly useful.
6
Dependent Data in Social Sciences Research
DE PB NWISBN: 9783319372273 bzw. 3319372270, in Deutsch, Springer, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkosten nach: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, buecher.de GmbH & Co. KG, [1].
This volume presents contributions on handling data in which the postulate of independence in the data matrix is violated. When this postulate is violated and when the methods assuming independence are still applied, the estimated parameters are likely to be biased, and statistical decisions are very likely to be incorrect. Problems associated with dependence in data have been known for a long time, and led to the development of tailored methods for the analysis of dependent data in various areas of statistical analysis. These methods include, for example, methods for the analysis of longitudinal data, corrections for dependency,and corrections for degrees of freedom. This volume contains the following five sections: growth curve modeling, directional dependence, dyadic data modeling, item response modeling (IRT), and other methods for the analysis of dependent data (e.g., approaches for modeling cross-section dependence, multidimensional scaling techniques, and mixed models).Researchers and graduate students in the social and behavioral sciences, education, econometrics, and medicine will find thisup-to-date overview of modernstatistical approaches for dealing with problems related to dependent data particularly useful. Versandfertig in 3-5 Tagen, Softcover, Neuware, offene Rechnung (Vorkasse vorbehalten).
Von Händler/Antiquariat, buecher.de GmbH & Co. KG, [1].
This volume presents contributions on handling data in which the postulate of independence in the data matrix is violated. When this postulate is violated and when the methods assuming independence are still applied, the estimated parameters are likely to be biased, and statistical decisions are very likely to be incorrect. Problems associated with dependence in data have been known for a long time, and led to the development of tailored methods for the analysis of dependent data in various areas of statistical analysis. These methods include, for example, methods for the analysis of longitudinal data, corrections for dependency,and corrections for degrees of freedom. This volume contains the following five sections: growth curve modeling, directional dependence, dyadic data modeling, item response modeling (IRT), and other methods for the analysis of dependent data (e.g., approaches for modeling cross-section dependence, multidimensional scaling techniques, and mixed models).Researchers and graduate students in the social and behavioral sciences, education, econometrics, and medicine will find thisup-to-date overview of modernstatistical approaches for dealing with problems related to dependent data particularly useful. Versandfertig in 3-5 Tagen, Softcover, Neuware, offene Rechnung (Vorkasse vorbehalten).
7
Dependent Data in Social Sciences Research: Forms, Issues, and Methods of Analysis Mark Stemmler Editor
~EN PB NWISBN: 9783319372273 bzw. 3319372270, vermutlich in Englisch, Springer International Publishing, Taschenbuch, neu.
Lieferung aus: Vereinigte Staaten von Amerika, Lagernd, zzgl. Versandkosten.
This volume presents contributions on handling data in which the postulate of independence in the data matrix is violated. When this postulate is violated and when the methods assuming independence are still applied, the estimated parameters are likely to be biased, and statistical decisions are very likely to be incorrect. Problems associated with dependence in data have been known for a long time, and led to the development of tailored methods for the analysis of dependent data in various areas of statistical analysis. These methods include, for example, methods for the analysis of longitudinal data, corrections for dependency,and corrections for degrees of freedom. This volume contains the following five sections: growth curve modeling, directional dependence, dyadic data modeling, item response modeling (IRT), and other methods for the analysis of dependent data (e.g., approaches for modeling cross-section dependence, multidimensional scaling techniques, and mixed models).Researchers and graduate students in the social and behavioral sciences, education, econometrics, and medicine will find thisup-to-date overview of modernstatistical approaches for dealing with problems related to dependent data particularly useful.
This volume presents contributions on handling data in which the postulate of independence in the data matrix is violated. When this postulate is violated and when the methods assuming independence are still applied, the estimated parameters are likely to be biased, and statistical decisions are very likely to be incorrect. Problems associated with dependence in data have been known for a long time, and led to the development of tailored methods for the analysis of dependent data in various areas of statistical analysis. These methods include, for example, methods for the analysis of longitudinal data, corrections for dependency,and corrections for degrees of freedom. This volume contains the following five sections: growth curve modeling, directional dependence, dyadic data modeling, item response modeling (IRT), and other methods for the analysis of dependent data (e.g., approaches for modeling cross-section dependence, multidimensional scaling techniques, and mixed models).Researchers and graduate students in the social and behavioral sciences, education, econometrics, and medicine will find thisup-to-date overview of modernstatistical approaches for dealing with problems related to dependent data particularly useful.
8
Dependent Data in Social Sciences Research: Forms, Issues, and Methods of Analysis
DE NWISBN: 9783319205847 bzw. 3319205846, in Deutsch, Springer International Publishing, Springer International Publishing, Springer International Publishing, neu.
Lieferung aus: Vereinigte Staaten von Amerika, zzgl. Versandkosten, Free Shipping on eligible orders over $25, in-stock.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
9
Dependent Data in Social Sciences Research (2015)
DE NWISBN: 3319205846 bzw. 9783319205847, in Deutsch, neu.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
10
Dependent Data in Social Sciences Research: Forms, Issues, and Methods of Analysis (2017)
EN PB NW RPISBN: 9783319372273 bzw. 3319372270, in Englisch, 400 Seiten, Springer, Taschenbuch, neu, Nachdruck.
Lieferung aus: Deutschland, Noch nicht erschienen. Versandkostenfrei.
Von Händler/Antiquariat, Amazon.de.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Von Händler/Antiquariat, Amazon.de.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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