Evidence map›Paper›PMID 40059112›Full record

ArticleInternational journal of psychology : Journal international de psychologie2025

Using the K-Means Node Clustering Method and ROC Curve Analysis to Define Cut-Off Scores for the Caregiving System Scale.

Daiana Colledani, Mario Mikulincer, Phillip R Shaver, Anna Maria Meneghini

Erratum issuedAbstract read
In one paragraph

Article in International journal of psychology : Journal international de psychologie, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Daiana ColledaniDepartment of Psychology, Faculty of Medicine and Psychology, Sapienza University of Rome, Rome, Italy.ORCID https://orcid.org/0000-0003-2840-9193
Mario MikulincerBaruch Ivcher School of Psychology, Reichman University, Herzliya, Israel.
Phillip R ShaverDepartment of Psychology, University of California Davis, Davis, California, USA.
Anna Maria MeneghiniDepartment of Human Sciences, University of Verona, Verona, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

CaregiversObject AttachmentROC CurveAdolescentAdultAgedCluster AnalysisFemaleHumansItalyMaleMiddle AgedPsychometricsReference ValuesReproducibility of ResultsSurveys and Questionnairescaregiving profilesCSScut‐off scoresK‐means nodeROC curves

Identifiers

PMID40059112
PMCPMC11891118

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.