Assessing Clinical Significance: Does it Matter which Method we Use?

Autor/inn/en	Atkins, David C.; Bedics, Jamie D.; Mcglinchey, Joseph B.; Beauchaine, Theodore P.
Titel	Assessing Clinical Significance: Does it Matter which Method we Use?
Quelle	In: Journal of Consulting and Clinical Psychology, 73 (2005) 5, S.982-989 (8 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0022-006X
Schlagwörter	Psychotherapy; Statistical Significance; Outcomes of Treatment; Behavior Change; Measurement Techniques; Evaluation Methods; Simulation; Test Reliability; Effect Size; Correlation; Classification + Suchen Sie Ihr Suchwort? Psychotherapie; Messtechnik; Simulation program; Simulationsprogramm; Testreliabilität; Korrelation; Classification system; Klassifikation; Klassifikationssystem
Abstract	Measures of clinical significance are frequently used to evaluate client change during therapy. Several alternatives to the original method devised by N. S. Jacobson, W. C. Follette, & D. Revenstorf (1984) have been proposed, each purporting to increase accuracy. However, researchers have had little systematic guidance in choosing among alternatives. In this simulation study, the authors systematically explored data parameters (e.g., reliability of measurement, pre-post effect size, and pre-post correlation) that might yield differing results among the most widely considered clinical significance methods. Results indicated that classification across methods was far more similar than different, especially at greater levels of reliability. As such, the existing methods of clinical significance appear highly comparable; future directions for clinical significance use and research are discussed. (Author).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10