{"title":"我们应该担心如何衡量忧虑吗?来自更新版的意大利宾夕法尼亚州立大学忧虑问卷的见解","authors":"Gioia Bottesi , Andrea Spoto","doi":"10.1016/j.ijchp.2025.100579","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Research indicates a rise in self-reported worry, highlighting the need for updated psychometric tools. The Penn State Worry Questionnaire (PSWQ) assesses excessive worry and there is debate over whether only its 11 positively worded items should be used. This study aimed to clarify the factor structure and psychometric properties of the PSWQ and to explore worry features in two diverse Italian community samples from the 2010s and 2020s.</div></div><div><h3>Methods</h3><div>The 2020s sample included 674 participants (44.5 % female; Mage = 29.44 ± 13.20), while the 2010s sample comprised 411 individuals (61.6 % female; Mage = 36.64 ± 13.73). Methods from Classical Test Theory (CTT) were used to compare alternative PSWQ factor structures, assess the best-fitting model’s reliability and validity, and evaluate measurement invariance (MI) across sexes in the 2020s sample. Item Response Theory (IRT) was applied to refine and confirm the best-fitting factor structure and to compare item and individual locations across samples.</div></div><div><h3>Results</h3><div>The 11-item one-factor model was the best fit and it showed excellent reliability and concurrent validity. MI across sexes was supported. IRT analyses suggested that items were slightly more difficult for the 2010s sample.</div></div><div><h3>Conclusions</h3><div>The PSWQ-11 is a valid and reliable tool for assessing worry in the Italian community. The findings suggest that societal issues as well as socio-demographic characteristics may contribute shaping differences in worry features across diverse historical contexts.</div></div>","PeriodicalId":47673,"journal":{"name":"International Journal of Clinical and Health Psychology","volume":"25 2","pages":"Article 100579"},"PeriodicalIF":5.3000,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Should we worry about how we measure worry? Insights from an updated version of the Italian Penn State Worry Questionnaire\",\"authors\":\"Gioia Bottesi , Andrea Spoto\",\"doi\":\"10.1016/j.ijchp.2025.100579\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>Research indicates a rise in self-reported worry, highlighting the need for updated psychometric tools. The Penn State Worry Questionnaire (PSWQ) assesses excessive worry and there is debate over whether only its 11 positively worded items should be used. This study aimed to clarify the factor structure and psychometric properties of the PSWQ and to explore worry features in two diverse Italian community samples from the 2010s and 2020s.</div></div><div><h3>Methods</h3><div>The 2020s sample included 674 participants (44.5 % female; Mage = 29.44 ± 13.20), while the 2010s sample comprised 411 individuals (61.6 % female; Mage = 36.64 ± 13.73). Methods from Classical Test Theory (CTT) were used to compare alternative PSWQ factor structures, assess the best-fitting model’s reliability and validity, and evaluate measurement invariance (MI) across sexes in the 2020s sample. Item Response Theory (IRT) was applied to refine and confirm the best-fitting factor structure and to compare item and individual locations across samples.</div></div><div><h3>Results</h3><div>The 11-item one-factor model was the best fit and it showed excellent reliability and concurrent validity. MI across sexes was supported. IRT analyses suggested that items were slightly more difficult for the 2010s sample.</div></div><div><h3>Conclusions</h3><div>The PSWQ-11 is a valid and reliable tool for assessing worry in the Italian community. The findings suggest that societal issues as well as socio-demographic characteristics may contribute shaping differences in worry features across diverse historical contexts.</div></div>\",\"PeriodicalId\":47673,\"journal\":{\"name\":\"International Journal of Clinical and Health Psychology\",\"volume\":\"25 2\",\"pages\":\"Article 100579\"},\"PeriodicalIF\":5.3000,\"publicationDate\":\"2025-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Clinical and Health Psychology\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1697260025000377\",\"RegionNum\":1,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PSYCHOLOGY, CLINICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Clinical and Health Psychology","FirstCategoryId":"102","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1697260025000377","RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY, CLINICAL","Score":null,"Total":0}
Should we worry about how we measure worry? Insights from an updated version of the Italian Penn State Worry Questionnaire
Background
Research indicates a rise in self-reported worry, highlighting the need for updated psychometric tools. The Penn State Worry Questionnaire (PSWQ) assesses excessive worry and there is debate over whether only its 11 positively worded items should be used. This study aimed to clarify the factor structure and psychometric properties of the PSWQ and to explore worry features in two diverse Italian community samples from the 2010s and 2020s.
Methods
The 2020s sample included 674 participants (44.5 % female; Mage = 29.44 ± 13.20), while the 2010s sample comprised 411 individuals (61.6 % female; Mage = 36.64 ± 13.73). Methods from Classical Test Theory (CTT) were used to compare alternative PSWQ factor structures, assess the best-fitting model’s reliability and validity, and evaluate measurement invariance (MI) across sexes in the 2020s sample. Item Response Theory (IRT) was applied to refine and confirm the best-fitting factor structure and to compare item and individual locations across samples.
Results
The 11-item one-factor model was the best fit and it showed excellent reliability and concurrent validity. MI across sexes was supported. IRT analyses suggested that items were slightly more difficult for the 2010s sample.
Conclusions
The PSWQ-11 is a valid and reliable tool for assessing worry in the Italian community. The findings suggest that societal issues as well as socio-demographic characteristics may contribute shaping differences in worry features across diverse historical contexts.
期刊介绍:
The International Journal of Clinical and Health Psychology is dedicated to publishing manuscripts with a strong emphasis on both basic and applied research, encompassing experimental, clinical, and theoretical contributions that advance the fields of Clinical and Health Psychology. With a focus on four core domains—clinical psychology and psychotherapy, psychopathology, health psychology, and clinical neurosciences—the IJCHP seeks to provide a comprehensive platform for scholarly discourse and innovation. The journal accepts Original Articles (empirical studies) and Review Articles. Manuscripts submitted to IJCHP should be original and not previously published or under consideration elsewhere. All signing authors must unanimously agree on the submitted version of the manuscript. By submitting their work, authors agree to transfer their copyrights to the Journal for the duration of the editorial process.