{"title":"评估Nomophobia问卷构建相关心理测量多维性的两个来源：双因素探索性结构方程建模的综合框架。","authors":"Giusy D Valenti, Rossella Bottaro, Palmira Faraci","doi":"10.1177/01632787231203380","DOIUrl":null,"url":null,"abstract":"<p><p>The current study aimed at investigating the two sources of construct-relevant psychometric multidimensionality of the Nomophobia Questionnaire (NMP-Q), applying the newly developed bifactor exploratory structural equation modeling (B-ESEM) approach. We first contrasted several CFA and ESEM models to test the psychometric multidimensionality due to the fallibility of indicators. Then, we compared the first-order structures with those specifying both global and specific factors to test the coexistence of hierarchically ordered factors. Results from 469 participants to the 20-item questionnaire showed the superiority of a B-ESEM representation with a well-defined G-factor and four weaker S-factors. On a methodological level, our findings provide additional support for the utility of using B-ESEM's integrative perspective to better capture the complexity of multidimensional constructs.</p>","PeriodicalId":12315,"journal":{"name":"Evaluation & the Health Professions","volume":" ","pages":"52-65"},"PeriodicalIF":2.2000,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Assessing the Two Sources of Construct-Relevant Psychometric Multidimensionality of the Nomophobia Questionnaire: The Integrated Framework of Bifactor Exploratory Structural Equation Modeling.\",\"authors\":\"Giusy D Valenti, Rossella Bottaro, Palmira Faraci\",\"doi\":\"10.1177/01632787231203380\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The current study aimed at investigating the two sources of construct-relevant psychometric multidimensionality of the Nomophobia Questionnaire (NMP-Q), applying the newly developed bifactor exploratory structural equation modeling (B-ESEM) approach. We first contrasted several CFA and ESEM models to test the psychometric multidimensionality due to the fallibility of indicators. Then, we compared the first-order structures with those specifying both global and specific factors to test the coexistence of hierarchically ordered factors. Results from 469 participants to the 20-item questionnaire showed the superiority of a B-ESEM representation with a well-defined G-factor and four weaker S-factors. On a methodological level, our findings provide additional support for the utility of using B-ESEM's integrative perspective to better capture the complexity of multidimensional constructs.</p>\",\"PeriodicalId\":12315,\"journal\":{\"name\":\"Evaluation & the Health Professions\",\"volume\":\" \",\"pages\":\"52-65\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2024-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Evaluation & the Health Professions\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1177/01632787231203380\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2023/9/22 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"HEALTH CARE SCIENCES & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Evaluation & the Health Professions","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1177/01632787231203380","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/9/22 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
Assessing the Two Sources of Construct-Relevant Psychometric Multidimensionality of the Nomophobia Questionnaire: The Integrated Framework of Bifactor Exploratory Structural Equation Modeling.
The current study aimed at investigating the two sources of construct-relevant psychometric multidimensionality of the Nomophobia Questionnaire (NMP-Q), applying the newly developed bifactor exploratory structural equation modeling (B-ESEM) approach. We first contrasted several CFA and ESEM models to test the psychometric multidimensionality due to the fallibility of indicators. Then, we compared the first-order structures with those specifying both global and specific factors to test the coexistence of hierarchically ordered factors. Results from 469 participants to the 20-item questionnaire showed the superiority of a B-ESEM representation with a well-defined G-factor and four weaker S-factors. On a methodological level, our findings provide additional support for the utility of using B-ESEM's integrative perspective to better capture the complexity of multidimensional constructs.
期刊介绍：
Evaluation & the Health Professions is a peer-reviewed, quarterly journal that provides health-related professionals with state-of-the-art methodological, measurement, and statistical tools for conceptualizing the etiology of health promotion and problems, and developing, implementing, and evaluating health programs, teaching and training services, and products that pertain to a myriad of health dimensions. This journal is a member of the Committee on Publication Ethics (COPE). Average time from submission to first decision: 31 days
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