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Structural Equation Modeling with Mplus
Sponsored by the Society of Multivariate Experimental Psychology, the goal of this series is to apply complex statistical methods to significant social or behavioral issues, in such a way so as to beExpand
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Comparative efficiency of informal (subjective, impressionistic) and formal (mechanical, algorithmic) prediction procedures: The clinical–statistical controversy.
Given a data set about an individual or a group (e.g., interviewer ratings, life history or demographic facts, test results, self-descriptions), there are two modes of data combination for aExpand
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Clinical versus mechanical prediction: a meta-analysis.
The process of making judgments and decisions requires a method for combining data. To compare the accuracy of clinical and mechanical (formal, statistical) data-combination techniques, we performedExpand
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How does cognitive therapy work? Cognitive change and symptom change in cognitive therapy and pharmacotherapy for depression.
The effects of changes in depression-relevant cognition were examined in relation to subsequent change in depressive symptoms for outpatients with major depressive disorder randomly assigned toExpand
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Thought, language, and communication in schizophrenia: diagnosis and prognosis.
Using the Scale for the Assessment of Thought, Language, and Communication (TLC), we examined the frequency of "thought disorder" in 94 normal volunteers and 100 psychiatric patients (25 eachExpand
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Cognitive therapy and pharmacotherapy for depression. Singly and in combination.
Cognitive therapy and imipramine hydrochloride tricyclic pharmacotherapy, each singly and in combination, were compared in the treatment of nonpsychotic, nonbipolar depressed outpatients. One hundredExpand
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Differential relapse following cognitive therapy and pharmacotherapy for depression.
Patients successfully treated during a 3-month period with either imipramine hydrochloride pharmacotherapy, cognitive therapy, or combined cognitive-pharmacotherapy were monitored during a 2-yearExpand
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Familial prevalence and coaggregation of schizotypy indicators: a multitrait family study.
Schizophrenic probands (n = 17), their first-degree relatives (n = 61), and medically and psychiatrically screened normal control subjects (n = 18) were studied with structured interviews for DSM-IIIExpand
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Multiple dimensions of schizotypy in first degree biological relatives of schizophrenia patients.
Considerable research has been devoted to identifying individuals predisposed to schizophrenia, with much of the effort devoted to identifying the personality characteristics of the biologicalExpand
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