Abstract:
BACKGROUND:The pairing of analysis of variance (ANOVA)-based analyses with designs lacking multiple measurement of client change may lead to conclusions that are inconsistent with theoretical expectations about how change will occur. Multilevel modeling (MLM), when used with multiple assessments of client outcomes, provides a flexible set of tools to analyze trajectories of client change. PURPOSE:The authors present an overview of MLM and growth curve analysis as applied to psychotherapy outcome. Results from a simulated data set illustrate how MLM-specifically, growth curve analysis-can be used to test hypotheses from randomized clinical trials. RESULTS:Growth curve analyses were applied to simulated data from an experimental design (treatment versus control group) with multiple assessments of client distress and a client individual difference variable. Results of growth curve analyses confirmed what was found with a pretreatment/posttreatment repeated-measures ANOVA but provided additional information not available from the ANOVA framework. CONCLUSIONS:Given its flexibility, MLM is the recommended method to assess patterns of change in studies of psychotherapy outcome.
journal_name
J Clin Psycholjournal_title
Journal of clinical psychologyauthors
Kahn JH,Schneider WJdoi
10.1002/jclp.21964subject
Has Abstractpub_date
2013-06-01 00:00:00pages
543-70issue
6eissn
0021-9762issn
1097-4679journal_volume
69pub_type
杂志文章,评审abstract::The P300 is a component of cortical event related-potentials that has been linked to memory and recognition. This study examined P300 amplitude and latency during recognition of pairs of words from the WMS-R Verbal Paired Associate Learning subscale. After 24 subjects learned the pairs of words, they were shown pairs ...
journal_title:Journal of clinical psychology
pub_type: 杂志文章
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journal_title:Journal of clinical psychology
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journal_title:Journal of clinical psychology
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journal_title:Journal of clinical psychology
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