Causal inference is an important but controversial topic in the social sciences in that it is difficult to statistically control for all possible confounding variables. To address this concern, this monograph introduces a reference distribution of the confounding that is the product of two dependent correlation coefficients and illustrates how to use the reference distribution to investigate the robustness of a cause inference to the impact of a confounding variable. The methodology discussed in this monograph would also allow for multiple partial causes in the complex social phenomena under study, so as to inform causal inferences in the social sciences from statistical linear models.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Causal inference is an important but controversial topic in the social sciences in that it is difficult to statistically control for all possible confounding variables. To address this concern, this monograph introduces a reference distribution of the confounding that is the product of two dependent correlation coefficients and illustrates how to use the reference distribution to investigate the robustness of a cause inference to the impact of a confounding variable. The methodology discussed in this monograph would also allow for multiple partial causes in the complex social phenomena under study, so as to inform causal inferences in the social sciences from statistical linear models. 96 pp. Englisch. Codice articolo 9783838335391
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Causal inference is an important but controversial topic in the social sciences in that it is difficult to statistically control for all possible confounding variables. To address this concern, this monograph introduces a reference distribution of the confo. Codice articolo 5414107
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Causal inference is an important but controversial topic in the social sciences in that it is difficult to statistically control for all possible confounding variables. To address this concern, this monograph introduces a reference distribution of the confounding that is the product of two dependent correlation coefficients and illustrates how to use the reference distribution to investigate the robustness of a cause inference to the impact of a confounding variable. The methodology discussed in this monograph would also allow for multiple partial causes in the complex social phenomena under study, so as to inform causal inferences in the social sciences from statistical linear models.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 96 pp. Englisch. Codice articolo 9783838335391
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Causal inference is an important but controversial topic in the social sciences in that it is difficult to statistically control for all possible confounding variables. To address this concern, this monograph introduces a reference distribution of the confounding that is the product of two dependent correlation coefficients and illustrates how to use the reference distribution to investigate the robustness of a cause inference to the impact of a confounding variable. The methodology discussed in this monograph would also allow for multiple partial causes in the complex social phenomena under study, so as to inform causal inferences in the social sciences from statistical linear models. Codice articolo 9783838335391
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Da: preigu, Osnabrück, Germania
Taschenbuch. Condizione: Neu. Confounding in Causal Inference | The Distribution of the Product of Two Dependent Correlation Coefficients and Its Applications in Causal Inference | Wei Pan | Taschenbuch | 96 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783838335391 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu. Codice articolo 101221402
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