2018
DOI: 10.1016/j.schres.2017.06.018
|View full text |Cite
|
Sign up to set email alerts
|

Psychometrics of social cognitive measures for psychosis treatment research

Abstract: Social cognition represents an important treatment target, closely linked to everyday social function. While a number of social cognitive interventions have recently been developed, measures used to evaluate these treatments are only beginning to receive psychometric scrutiny. Study goals were to replicate recently-published psychometrics for several social cognitive measures, and to provide information for additional social cognitive measures not included in recent reports. Forty-eight outpatients with psycho… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

2
16
1
2

Year Published

2018
2018
2022
2022

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 30 publications
(21 citation statements)
references
References 50 publications
2
16
1
2
Order By: Relevance
“…Specifically, the RMET indexes only the ability to accurately label a decontextualized facial emotional expression (see Aviezer et al 2017); how this ability relates to general social understanding is not clear (see Oakley et al 2016). As well, a recent meta-analysis of the psychometric properties of the CS revealed a negatively skewed pattern suggesting possible ceiling effects; it may not be well-suited for investigating individual differences (Davidson et al 2018), and thus is likely inappropriate for assessing relationships between social reasoning and CTC.…”
Section: Causal Learning In Ctc: Adaptive and Collaborativementioning
confidence: 99%
“…Specifically, the RMET indexes only the ability to accurately label a decontextualized facial emotional expression (see Aviezer et al 2017); how this ability relates to general social understanding is not clear (see Oakley et al 2016). As well, a recent meta-analysis of the psychometric properties of the CS revealed a negatively skewed pattern suggesting possible ceiling effects; it may not be well-suited for investigating individual differences (Davidson et al 2018), and thus is likely inappropriate for assessing relationships between social reasoning and CTC.…”
Section: Causal Learning In Ctc: Adaptive and Collaborativementioning
confidence: 99%
“…The social cognitive measures used in the above-mentioned studies have all been criticized, for various reasons. The Reading the Mind in the Eyes Test may be a measure of emotion recognition and not of ToM ( Oakley et al, 2016 ), the Hinting Task can produce ceiling effects ( Davidson et al, 2018 ; Frøyhaug et al, 2019 ), and the MCCB subtest may be a poor operationalization of social cognition in younger participants ( Holmén et al, 2010 ). Further, none of them has convincing ecological validity, i.e.…”
Section: Introductionmentioning
confidence: 99%
“…Results provide evidence for the utility and adequacy of both reformulated Learned Helplessness Model (Abramson et al, 1978) and its more fully articulated form, the Hopelessness Theory of Depression (Davidson et al, 2018;Haeffel et al, 2017), to predict depression in persons with schizophrenia-spectrum disorders. Comparing to a non-clinical group, persons with psychosis show an increased negative attribution bias.…”
Section: Discussionmentioning
confidence: 87%
“…Beyond this, "hopelessness", regardless of depressive symptoms, predicts a worse global functioning and is an important risk factor for suicidal behaviour (Cassidy et al, 2018). Given the importance of depressive symptoms (Berardelli et al, 2019;Davidson et al, 2018) and the increased "helplessness" (a bias to externalise both positive and negative events) found in persons with psychosis (Lincoln et al, 2010), the present study aimed to verify whether the reformulated Learned Helplessness Model and the more fully articulated form, Hopelessness Theory of Depression, may be specifically suitable to predict depressive symptoms in persons with schizophrenia-spectrum disorders. Moreover, our principal focus is not to demonstrate the relationship between attribution styles and psychotic symptoms that influent models satisfactorily explain (Bentall et al, 2001;Garety & Freeman, 2013;Moritz et al, 2018;Murphy et al, 2018) but to test their utility to explain increased depressive patterns and predict SF in persons with schizophrenia-spectrum disorders.…”
Section: Los Estilos Atribucionales Y El Funcionamiento Social En La mentioning
confidence: 99%