Evidence map›Paper›PMID 35692619›Full record

ArticleSchizophrenia research. Cognition2022

Dimensionality analysis of the German version of the Screen for Cognitive Impairment in Psychiatry (SCIP-G).

Gabriele Sachs, Gloria Bannick, Eva I J Maihofer, Martin Voracek, Scot E Purdon, Andreas Erfurth

Abstract read
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Article in Schizophrenia research. Cognition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Gabriele SachsMedical University of Vienna, Vienna, Austria.
Gloria Bannick1 Department of Psychiatry and Psychotherapeutic Medicine, Klinik Hietzing, Vienna, Austria.
Eva I J Maihofer1 Department of Psychiatry and Psychotherapeutic Medicine, Klinik Hietzing, Vienna, Austria.
Martin VoracekDepartment of Cognition, Emotion, and Methods in Psychology, Faculty of Psychology, University of Vienna, Vienna, Austria.
Scot E PurdonAlberta Hospital Edmonton Neuropsychology, Department of Psychiatry, University of Alberta, Edmonton, Alberta, Canada.
Andreas ErfurthMedical University of Vienna, Vienna, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Psychiatric disorders, especially schizophrenia, are characterised by cognitive impairment. The rapid detection of cognitive dysfunction - also in the course of the disease - is of great importance. The Screen for Cognitive Impairment in Psychiatry (SCIP) was developed to provide screening of psychiatric patients in clinical practice and is available in several languages. Prior psychometric investigations into the dimensionality of the SCIP have produced two different models: a one-factor model assumes that the five subscales of the SCIP load together, whereas an alternative model suggests that the subscales load on two factors, namely verbal memory and processing speed. We carried out a confirmatory factor analysis of the German version of the SCIP (SCIP-G). Methods: 323 patients with psychotic, bipolar affective, and depressive disorders were studied. Results: The one-factor approach did not yield an acceptable model fit (chi-squared test: χ Conclusions: These data show that a good model fit can be achieved with a two-factor solution for the SCIP. This study is the first to conduct a confirmatory factor analysis using the German SCIP version and to test its dimensional structure using a hypothesis-testing approach.

Indexed as

Confirmatory factor analysisPsychometricsSchizophreniaScreen for Cognitive Impairment in Psychiatry (SCIP)Structural equation modeling

Identifiers

PMID35692619
PMCPMC9178470

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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.