Haley E Green, Lindsay N Gabel, Emma K Stewart, Yuliya Kotelnikova, Elizabeth P Hayden
{"title":"Latent structure and measurement invariance of the Depression Self-Rating Scale for Children across sex and age.","authors":"Haley E Green, Lindsay N Gabel, Emma K Stewart, Yuliya Kotelnikova, Elizabeth P Hayden","doi":"10.1037/pas0001327","DOIUrl":null,"url":null,"abstract":"<p><p>Measurement tools from which valid interpretations can be made are critical for assessing early emerging depressive symptoms, as depressive symptoms in childhood are associated with increased risk for early-onset depressive disorder, recurrence, suicidality, and other psychopathology. The Depression Self-Rating Scale for Children (DSRS) is a widely used self-report scale assessing youth depressive symptoms. The relatively few studies investigating the DSRS' latent structure have yielded mixed results, and measurement invariance (MI) based on sex and age has not been examined. We examined the factor structure and MI of the DSRS across sex and age in a community sample of 6-9-year-olds (<i>N</i> = 352; <i>M</i><sub>age</sub> = 7.57 years, <i>SD</i> = .70). Consistent with the largest prior structural study of the DSRS, a two-factor structure, with factors reflecting elevated negative affect (NA) and low positive affect (PA), showed strong model fit. Although this structure was consistent across sex and age (i.e., configural invariance), loadings of DSRS items varied across sex and age (i.e., metric noninvariance). Allowing the loadings of items contributing to noninvariance to vary across groups improved model fit. Implications for the clinical and research utility of the DSRS and suggestions for future research are discussed. (PsycInfo Database Record (c) 2024 APA, all rights reserved).</p>","PeriodicalId":20770,"journal":{"name":"Psychological Assessment","volume":" ","pages":"552-561"},"PeriodicalIF":3.3000,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Psychological Assessment","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1037/pas0001327","RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/7/18 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"PSYCHOLOGY, CLINICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Measurement tools from which valid interpretations can be made are critical for assessing early emerging depressive symptoms, as depressive symptoms in childhood are associated with increased risk for early-onset depressive disorder, recurrence, suicidality, and other psychopathology. The Depression Self-Rating Scale for Children (DSRS) is a widely used self-report scale assessing youth depressive symptoms. The relatively few studies investigating the DSRS' latent structure have yielded mixed results, and measurement invariance (MI) based on sex and age has not been examined. We examined the factor structure and MI of the DSRS across sex and age in a community sample of 6-9-year-olds (N = 352; Mage = 7.57 years, SD = .70). Consistent with the largest prior structural study of the DSRS, a two-factor structure, with factors reflecting elevated negative affect (NA) and low positive affect (PA), showed strong model fit. Although this structure was consistent across sex and age (i.e., configural invariance), loadings of DSRS items varied across sex and age (i.e., metric noninvariance). Allowing the loadings of items contributing to noninvariance to vary across groups improved model fit. Implications for the clinical and research utility of the DSRS and suggestions for future research are discussed. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
期刊介绍:
Psychological Assessment is concerned mainly with empirical research on measurement and evaluation relevant to the broad field of clinical psychology. Submissions are welcome in the areas of assessment processes and methods. Included are - clinical judgment and the application of decision-making models - paradigms derived from basic psychological research in cognition, personality–social psychology, and biological psychology - development, validation, and application of assessment instruments, observational methods, and interviews