{"title":"用双因素- esem方法对注意缺陷多动障碍(adhd)进行多维分析","authors":"Jonatan Frutos","doi":"10.51668/BP.8321105S","DOIUrl":null,"url":null,"abstract":"In this study, different first-order and bifactor models of attention deficit hyperactivity disorder (ADHD) have been tested using confirmatory factor analysis (CFA) and exploratory structural equation modeling (ESEM). Nine models were estimated for a sample of 871 children (465 males and 406 females) aged between five and fourteen years old through a scale constructed with the 18 ADHD symptoms proposed in the DSM-5, completed by parents and teachers. The models were divided into five first-order models (CFA and ESEM) and four bifactor models (Bi-CFA y Bi-ESEM). The results indicated that both Bi-ESEM models show a better fit over the rest, with three specific factors showing the best fit with a strongly defined G factor.","PeriodicalId":51722,"journal":{"name":"Behavioral Psychology-Psicologia Conductual","volume":"432 1","pages":"95-110"},"PeriodicalIF":0.7000,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Análisis multidimensional del trastorno por déficit de atención e hiperactividad (TDAH) mediante el método bifactor-ESEM\",\"authors\":\"Jonatan Frutos\",\"doi\":\"10.51668/BP.8321105S\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this study, different first-order and bifactor models of attention deficit hyperactivity disorder (ADHD) have been tested using confirmatory factor analysis (CFA) and exploratory structural equation modeling (ESEM). Nine models were estimated for a sample of 871 children (465 males and 406 females) aged between five and fourteen years old through a scale constructed with the 18 ADHD symptoms proposed in the DSM-5, completed by parents and teachers. The models were divided into five first-order models (CFA and ESEM) and four bifactor models (Bi-CFA y Bi-ESEM). The results indicated that both Bi-ESEM models show a better fit over the rest, with three specific factors showing the best fit with a strongly defined G factor.\",\"PeriodicalId\":51722,\"journal\":{\"name\":\"Behavioral Psychology-Psicologia Conductual\",\"volume\":\"432 1\",\"pages\":\"95-110\"},\"PeriodicalIF\":0.7000,\"publicationDate\":\"2021-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Behavioral Psychology-Psicologia Conductual\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://doi.org/10.51668/BP.8321105S\",\"RegionNum\":4,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"PSYCHOLOGY, CLINICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Behavioral Psychology-Psicologia Conductual","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.51668/BP.8321105S","RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PSYCHOLOGY, CLINICAL","Score":null,"Total":0}
Análisis multidimensional del trastorno por déficit de atención e hiperactividad (TDAH) mediante el método bifactor-ESEM
In this study, different first-order and bifactor models of attention deficit hyperactivity disorder (ADHD) have been tested using confirmatory factor analysis (CFA) and exploratory structural equation modeling (ESEM). Nine models were estimated for a sample of 871 children (465 males and 406 females) aged between five and fourteen years old through a scale constructed with the 18 ADHD symptoms proposed in the DSM-5, completed by parents and teachers. The models were divided into five first-order models (CFA and ESEM) and four bifactor models (Bi-CFA y Bi-ESEM). The results indicated that both Bi-ESEM models show a better fit over the rest, with three specific factors showing the best fit with a strongly defined G factor.