L
Lauren B. Alloy
Researcher at Temple University
Publications - 396
Citations - 31161
Lauren B. Alloy is an academic researcher from Temple University. The author has contributed to research in topics: Bipolar disorder & Cognitive vulnerability. The author has an hindex of 81, co-authored 375 publications receiving 28050 citations. Previous affiliations of Lauren B. Alloy include Northwestern University & University of Pennsylvania.
Papers
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Hopelessness depression: A theory-based subtype of depression.
TL;DR: The hopelessness theory is silent about the time lag between formation of hopelessness and onset of the symptoms of depression as mentioned in this paper, however, the hopelessness cause, as opposed to a hopelessness subtype, of depression has not been examined.
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Judgment of contingency in depressed and nondepressed students: sadder but wiser?
Lauren B. Alloy,Lyn Y. Abramson +1 more
TL;DR: In this article, the learned helplessness theory of depression was used to predict the degree of contingency between responses and outcomes relative to the objective degree of contingencies, and the predicted subjective judgments of contingency were surprisingly accurate in all four experiments.
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Judgment of contingency in depressed and nondepressed students
Lauren B. Alloy,Lyn Y. Abramson +1 more
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Attributional style and depressive symptoms among children.
Martin E. P. Seligman,Christopher Peterson,Nadine J. Kaslow,Richard L. Tanenbaum,Lauren B. Alloy,Lyn Y. Abramson +5 more
TL;DR: Predictions of the reformulation of helplessness theory among 8-13-year-old children found that children who attributed bad events to internal, stable, and global causes were more likely to report depressive symptoms than those who attributed these events to external, unstable, and specific causes.
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Assessment of covariation by humans and animals: The joint influence of prior expectations and current situational information.
Lauren B. Alloy,Naomi Tabachnik +1 more
TL;DR: In this article, the authors propose a theoretical framework for understanding and integrating people's and animals' covariation assessment, which is determined by the interaction between two sources of information: the organism's prior expectations about the covariation between two events and current situational information provided by the environment about the objective contingency between the events.