Revision with unchanged content. This book aims to introduce the reader to the time-domain and frequency-domain techniques of time series analysis. Both methods are compared and their equivalence is discussed. The application in psychological research is demonstrated on an example of mood diaries, similar to the study of Larsen and Kasimatis (1990). Univariate and bivariate time series analysis is done regarding the question whether time series techniques reveal deeper information than traditional methods. Special methodological issues and possible errors are discussed in terms of technical advancement. Empirical results showed that, contrary to the original study, there were no circaseptum rhythms in mood. Methodological results showed that the equivalence of both approaches can be used to crossvalidate the results for an improved model identification. Aggregation of mood raw data appears to be unjustifiable since mood processes differ very much between individuals. Recommendations are made for the user.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Revision with unchanged content. This book aims to introduce the reader to the time-domain and frequency-domain techniques of time series analysis. Both methods are compared and their equivalence is discussed. The application in psychological research is demonstrated on an example of mood diaries, similar to the study of Larsen and Kasimatis (1990). Univariate and bivariate time series analysis is done regarding the question whether time series techniques reveal deeper information than traditional methods. Special methodological issues and possible errors are discussed in terms of technical advancement. Empirical results showed that, contrary to the original study, there were no circaseptum rhythms in mood. Methodological results showed that the equivalence of both approaches can be used to crossvalidate the results for an improved model identification. Aggregation of mood raw data appears to be unjustifiable since mood processes differ very much between individuals. Recommendations are made for the user.
Sonja Katajun Lindenberg was a student of Psychology at the University of Heidelberg. Since 2008 she works as a a scientific member at the Center for Psychotherapy Research, University Hospital Heidelberg.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Revision with unchanged content. This book aims to introduce the reader to the time-domain and frequency-domain techniques of time series analysis. Both methods are compared and their equivalence is discussed. The application in psychological research is demonstrated on an example of mood diaries, similar to the study of Larsen and Kasimatis (1990). Univariate and bivariate time series analysis is done regarding the question whether time series techniques reveal deeper information than traditional methods. Special methodological issues and possible errors are discussed in terms of technical advancement. Empirical results showed that, contrary to the original study, there were no circaseptum rhythms in mood. Methodological results showed that the equivalence of both approaches can be used to crossvalidate the results for an improved model identification. Aggregation of mood raw data appears to be unjustifiable since mood processes differ very much between individuals. Recommendations are made for the user. 124 pp. Englisch. N° de réf. du vendeur 9783639439663
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Lindenberg Sonja KatajunSonja Katajun Lindenberg was a student of Psychology at the University of Heidelberg. Since 2008 she works as a a scientific member at the Center for Psychotherapy Research, University Hospital Heidelberg. N° de réf. du vendeur 4988172
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Revision with unchanged content. This book aims to introduce the reader to the time-domain and frequency-domain techniques of time series analysis. Both methods are compared and their equivalence is discussed. The application in psychological research is demonstrated on an example of mood diaries, similar to the study of Larsen and Kasimatis (1990). Univariate and bivariate time series analysis is done regarding the question whether time series techniques reveal deeper information than traditional methods. Special methodological issues and possible errors are discussed in terms of technical advancement. Empirical results showed that, contrary to the original study, there were no circaseptum rhythms in mood. Methodological results showed that the equivalence of both approaches can be used to crossvalidate the results for an improved model identification. Aggregation of mood raw data appears to be unjustifiable since mood processes differ very much between individuals. Recommendations are made for the user.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 124 pp. Englisch. N° de réf. du vendeur 9783639439663
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Revision with unchanged content. This book aims to introduce the reader to the time-domain and frequency-domain techniques of time series analysis. Both methods are compared and their equivalence is discussed. The application in psychological research is demonstrated on an example of mood diaries, similar to the study of Larsen and Kasimatis (1990). Univariate and bivariate time series analysis is done regarding the question whether time series techniques reveal deeper information than traditional methods. Special methodological issues and possible errors are discussed in terms of technical advancement. Empirical results showed that, contrary to the original study, there were no circaseptum rhythms in mood. Methodological results showed that the equivalence of both approaches can be used to crossvalidate the results for an improved model identification. Aggregation of mood raw data appears to be unjustifiable since mood processes differ very much between individuals. Recommendations are made for the user. N° de réf. du vendeur 9783639439663
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Taschenbuch. Etat : Neu. ARIMA vs. Spectral Analysis | An Application on Mood Diaries | Sonja Katajun Lindenberg | Taschenbuch | 124 S. | Englisch | 2012 | AV Akademikerverlag | EAN 9783639439663 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 106384009
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