Excerpt from Causal Inference From Cross-Lagged Correlation Coeficients Fact or Fancy?
This paper is as a warning to those researchers who are tempted to use the cross-lagged method for causal inference without more adequately under standing its underlying assumptions and limitations. We shall undertake to show that, under some rather simple conditions, it is possible to prove.
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Paperback. Condition: New. Print on Demand. This book examines the validity of causal inferences drawn from cross-lagged correlation coefficients, a method frequently used in social science research. The author challenges the notion that cross-lagged correlations can definitively establish causal relationships, particularly in systems with non-linear feedback loops. Through a simulation experiment, the author demonstrates how the method can lead to contradictory and misleading conclusions. The book emphasizes the limitations of cross-lagged analysis and the need for caution in its application. Ultimately, the book highlights the importance of carefully considering the underlying assumptions and limitations of causal inference methods in social science research. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item. Seller Inventory # 9781332254408_0
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # LW-9781332254408
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # LW-9781332254408
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Condition: New. KlappentextrnrnExcerpt from Causal Inference From Cross-Lagged Correlation Coeficients Fact or Fancy?rnrnThis paper is as a warning to those researchers who are tempted to use the cross-lagged method for causal inference without more adequately . Seller Inventory # 2147938783
Quantity: Over 20 available