دانلود مقاله ISI انگلیسی شماره 155333
ترجمه فارسی عنوان مقاله

تجزیه و تحلیل تغییرات درمانی با استفاده از نقشه های برینلی اصلاح شده: تاریخ، ساخت و تفسیر

عنوان انگلیسی
Analyzing Therapeutic Change Using Modified Brinley Plots: History, Construction, and Interpretation
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
155333 2017 42 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Behavior Therapy, Volume 48, Issue 1, January 2017, Pages 115-127

ترجمه کلمات کلیدی
طرح برنلی اصلاح شده، نتیجه درمان، اندازه اثر، تغییر قابل اعتماد،
کلمات کلیدی انگلیسی
modified Brinley plot; therapy outcome; effect size; reliable change;
پیش نمایش مقاله
پیش نمایش مقاله  تجزیه و تحلیل تغییرات درمانی با استفاده از نقشه های برینلی اصلاح شده: تاریخ، ساخت و تفسیر

چکیده انگلیسی

The paper reviews the history, construction, and interpretation of modified Brinley plots, a scatter plot used in therapy outcome research to compare each individual participant’s scores on the same dependent variable at Time 1 (normally pretreatment baseline; x-axis), with scores at selected times during or after treatment (y-axis). Since 1965 eponymously named Brinley plots have occasionally been used in experimental psychology to display group mean data. Between 1979 and 1995 a number of clinical researchers modified Brinley plots to show individuals’ data but these plots have received little subsequent use. When constructed with orthogonal axes having the same origin and scale values, little or no change over time is shown by individuals’ data points lying on or closely about the diagonal (450o) while the magnitude and direction of any improvement (or deterioration), outliers, and the extent of replication across cases shows via dispersion of points away from 450o. Interpretation is aided by displaying reliable change boundaries, clinical cutoffs, means, variances, confidence intervals, and effect sizes directly on the graph. Modified Brinley plots are directly informative about individual change during therapy in the context of concurrent change in others in the same (or a different) condition, clearly show if outcomes are replicated and if they are clinically significant, and make nomothetic group information, notably effect sizes, directly available. They usefully complement other forms of analysis in therapy outcome research.