exploratory factor analysis of scl90-r symptoms relevant to psychosis.

Authors

jafar bakhshaie psychiatry and psychology research center and department of psychiatry, roozbeh hospital, tehran university of medical sciences, tehran, iran

vandad sharifi psychiatry and psychology research center and department of psychiatry, roozbeh hospital, tehran university of medical sciences, tehran, iran

javad amini department of animal nutrition and physiology, ferdowsi university, mashhad, iran

abstract

objective: inconsistent results have been reported regarding the symptom dimensions relevant to psychosis in symptoms check list revised (scl90-r), i.e., “psychoticism” and “paranoid ideation”. therefore, some studies have suggested different factor structures for questions of these two dimensions, and proposed two newly defined dimensions of “schizotypal signs” and “schizophrenia nuclear symptoms”. we conducted an exploratory factor analysis on the items of these two dimensions in a general population sample in iran. method: a total of 2158 subjects residing in southern tehran (capital of iran) were interviewed using the psychoticism and paranoid ideation questions in scl90-r to assess severity of these symptom dimensions. factor analysis was done through sas 9.1.3 proc factor using promax rotation (power=3) on the matrix of “polychoric correlations among variables” as the input data. results: two factors were retained by the proportion criterion. considering loadings >= 0.5 as minimum criteria for factor lo dings, 7 out of 10 questions from psychoticism ,and 3 out of 6 questions from paranoid ideation were retained, and others were eliminated. the factor labels proposed by the questionnaire suited the extracted factors and were retained. internal consistency for each of the dimensions was acceptable (cronbach’s alpha 0.7 and 0.74 for paranoid ideation and psychoticism respectively). composite scores showed a half-normal distribution for both dimensions which is predictable for instruments that detect psychotic symptoms. conclusion: results were in contrast with similar studies, and questioned them by suggesting a different factor structure obtained from a statistically large population. the population in a developing nation (iran) in this study and the socio-cultural differences in developed settings are the potential sources for discrepancies between this analysis and previous reports.

Upgrade to premium to download articles

Sign up to access the full text

Already have an account?login

similar resources

Exploratory Factor Analysis of SCL90-R Symptoms Relevant to Psychosis

OBJECTIVE Inconsistent results have been reported regarding the symptom dimensions relevant to psychosis in symptoms check list revised (SCL90-R), i.e., "psychoticism" and "paranoid ideation". Therefore, some studies have suggested different factor structures for questions of these two dimensions, and proposed two newly defined dimensions of "schizotypal signs" and "schizophrenia nuclear sympto...

full text

The dimensional structure of first episode psychosis: an exploratory factor analysis.

BACKGROUND Recent research has focused upon the subdiagnostic level in an effort to derive more valid domains of psychotic disorder. This has led to the influential positive-negative dichotomy in schizophrenia being superseded by a three-syndrome model. The strategy of looking for syndromes within poorly validated diagnostic categories, such as schizophrenia, has limitations, particularly since...

full text

Sparse Exploratory Factor Analysis.

Sparse principal component analysis is a very active research area in the last decade. It produces component loadings with many zero entries which facilitates their interpretation and helps avoid redundant variables. The classic factor analysis is another popular dimension reduction technique which shares similar interpretation problems and could greatly benefit from sparse solutions. Unfortuna...

full text

Bayesian Exploratory Factor Analysis.

This paper develops and applies a Bayesian approach to Exploratory Factor Analysis that improves on ad hoc classical approaches. Our framework relies on dedicated factor models and simultaneously determines the number of factors, the allocation of each measurement to a unique factor, and the corresponding factor loadings. Classical identification criteria are applied and integrated into our Bay...

full text

Exploratory Bi-factor Analysis.

Bi-factor analysis is a form of confirmatory factor analysis originally introduced by Holzinger. The bi-factor model has a general factor and a number of group factors. The purpose of this paper is to introduce an exploratory form of bi-factor analysis. An advantage of using exploratory bi-factor analysis is that one need not provide a specific bi-factor model a priori. The result of an explora...

full text

My Resources

Save resource for easier access later


Journal title:
iranian journal of psychiatry

جلد ۶، شماره ۴، صفحات ۱۲۸-۱۳۲

Hosted on Doprax cloud platform doprax.com

copyright © 2015-2023