Gender invariance of the Self-Reporting Questionnaire (SRQ-20)
Bibliographic Data
| ID | 11010959 |
|---|---|
| Authors | Tahira Kootbodien (0000-0002-6454-9380, Environment and Health Research Unit, South African Medical Research Council, University of Johannesburg, South Africa), Piet Becker (0000-0002-9384-6472, Biostatistics Unit, South African Medical Research Council, South Africa), Nisha Naicker (0000-0001-7223-7881, Environment and Health Research Unit, South African Medical Research Council, University of Johannesburg, South Africa), Angela Mathee (0000-0002-0060-829X, Environment and Health Research Unit, South African Medical Research Council, University of Johannesburg, South Africa) |
| Year | 2015 |
| Volume | 45 |
| Issue | 3 |
| Pages | 318-331 |
| Publication date | 2015-09-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | South African Journal of Psychology (JOURNAL) |
| Journal identifiers | ISSN: 0081-2463 • E-ISSN: 2078-208X |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/0081246315572500 |
| OpenAlex | W2105644762 |
| Language | EN |
| Citations received | 2 |
| References cited | 32 |
The World Health Organization 20-item Self-Reporting Questionnaire is a quick, low-cost screening instrument for measuring common mental disorders and has been applied in community-based health surveys in developing countries. It was originally designed as a general single factor tool for assessing mental distress associated with several common mental disorders. However, studies have also examined alternate multi-factor solutions for the Self-Reporting Questionnaire–20 across diverse study populations. A cross-sectional household survey was conducted in August and September 2009 among adults living in five urban communities in Johannesburg, South Africa ( n = 360). The Self-Reporting Questionnaire–20 was used to assess common mental disorders in the past month. Confirmatory factor analysis was applied to compare three competing models (one-, two-, and three-factor models). All three models fit the data well. Gender invariance was tested on the one-factor model based on its extensive application in clinical and research settings. Our findings did not support gender invariance. The differences in factor loadings between male and female subgroups suggest that the application of the Self-Reporting Questionnaire–20 may be more suited to women and therefore should be used cautiously for the assessment of common mental disorders in South Africa urban populations
Confirmatory factor analysis · Distress · Measurement invariance · Mental health · Psychiatry · Psychological distress · Statistics · Structural equation modeling · Child and Adolescent Psychosocial and Emotional Development · Clinical Psychology · Maternal Mental Health During Pregnancy and Postpartum · Mental Health Treatment and Access · Psychology
A Note on the Multiplying Factors for Various χ2 Approximations
Testing measurement invariance across groups
Mental disorders in primary health care
Global burden of disease attributable to mental and substance use disorders
Measures of multivariate skewness and kurtosis with applications
Evaluating Goodness-of-Fit Indexes for Testing Measurement Invariance
Sensitivity of Goodness of Fit Indexes to Lack of Measurement Invariance
Measurement Invariance, Factor Analysis and Factorial Invariance
A Second Generation Little Jiffy
Structural Equations with Latent Variables
Gender Differences in the Reporting of Physical and Somatoform Symptoms
Psychometric Properties of the Chinese Version of the Self-Reporting Questionnaire 20 (SRQ-20) in Community Settings
Reliability and Factor Structure of the Portuguese Version of Self-Reporting Questionnaire
Measuring mental health in a cost-effective manner
Maternal mental health and child nutritional status in four developing countries
Principles and Practice of Structural Equation Modeling
Sex Differences in Distress
| Unique citing works | 2 |
|---|---|
| Citations per year | 0,4 |
| Citation span | 2021 - 2022 (2) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 2 |