Daiana Colledani, Mario Mikulincer, Phillip R. Shaver, Anna Maria Meneghini
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Using the K-Means Node Clustering Method and ROC Curve Analysis to Define Cut-Off Scores for the Caregiving System Scale
This study was conducted to establish cut-off scores for the subscales of the Caregiving System Scale (CSS). Two samples of Italian adults (N's = 682 and 227) completed the CSS. In the first sample, K-means node clustering and ROC curve analyses were conducted. Four caregiving profiles were identified and cut-off scores were calculated for classifying participants into these profiles. In the second sample, participants completed the CSS and the Attachment Style Questionnaire. Findings supported the presence of unique CSS profiles and meaningful connections between them and attachment orientations. This work offers a method for determining cut-off scores when gold-standard measures needed to run ROC curve analyses are unavailable.
期刊介绍：
The International Journal of Psychology (IJP) is the journal of the International Union of Psychological Science (IUPsyS) and is published under the auspices of the Union. IJP seeks to support the IUPsyS in fostering the development of international psychological science. It aims to strengthen the dialog within psychology around the world and to facilitate communication among different areas of psychology and among psychologists from different cultural backgrounds. IJP is the outlet for empirical basic and applied studies and for reviews that either (a) incorporate perspectives from different areas or domains within psychology or across different disciplines, (b) test the culture-dependent validity of psychological theories, or (c) integrate literature from different regions in the world.
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