{"title":"人格测量中反应风格的稳定性：临床青少年的证据","authors":"Pei-Chen Wu","doi":"10.1002/capr.12859","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>In counselling and psychotherapy, individuals may exhibit response styles when completing personality measures, potentially distorting comparisons of inter- and intra-differences. However, previous research has primarily focused on nonclinical samples and cross-sectional data, leaving gaps in our understanding of the stability of response styles and their impact on clinical samples. This study aimed to fill gaps in knowledge by applying a mixed Rasch model to explore response style stability in a personality measure in clinical adolescents.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>The study sample consisted of 290 clinical adolescents (112 males and 178 females) who were experiencing depressive symptoms and receiving continuous treatment for at least 2 years. Each participant completed a personality assessment at four time points with a six-month interval between each assessment. To comprehensively examine the stability of response styles over an extended period, this study utilised mixed Rash modelling to analyse enduring response patterns using data collected at the initial (T1) and fourth (T4) assessments, which were spaced 2 years apart.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Using mixed Rasch modelling, the results showed that the extreme response style (ERS) and middle response style (MRS) were the two most common response styles in the five domains of the Big Five Inventory-21 at T1 and T4. The ERS and MRS remained stable throughout the mental health intervention. There was no gender-related relationship found for response styles in the data at separate time points (T1 and T4) or in the longitudinal data (long-format data). Importantly, the findings revealed that odds of a clinical adolescent changing their personality response style (ERS → MRS or MRS → ERS) increased by 1.15 times with each unit increase in depression score.</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>Researchers and practitioners should be aware that the stability of the ERS and MRS for a personality measure may result in response style-based explanations for findings obtained from longitudinal data, such as trait stability or trait change over waves.</p>\n </section>\n </div>","PeriodicalId":46997,"journal":{"name":"Counselling & Psychotherapy Research","volume":"25 2","pages":""},"PeriodicalIF":1.2000,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Stability of response styles in a personality measure: Evidence with clinical adolescents\",\"authors\":\"Pei-Chen Wu\",\"doi\":\"10.1002/capr.12859\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Background</h3>\\n \\n <p>In counselling and psychotherapy, individuals may exhibit response styles when completing personality measures, potentially distorting comparisons of inter- and intra-differences. However, previous research has primarily focused on nonclinical samples and cross-sectional data, leaving gaps in our understanding of the stability of response styles and their impact on clinical samples. This study aimed to fill gaps in knowledge by applying a mixed Rasch model to explore response style stability in a personality measure in clinical adolescents.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>The study sample consisted of 290 clinical adolescents (112 males and 178 females) who were experiencing depressive symptoms and receiving continuous treatment for at least 2 years. Each participant completed a personality assessment at four time points with a six-month interval between each assessment. To comprehensively examine the stability of response styles over an extended period, this study utilised mixed Rash modelling to analyse enduring response patterns using data collected at the initial (T1) and fourth (T4) assessments, which were spaced 2 years apart.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>Using mixed Rasch modelling, the results showed that the extreme response style (ERS) and middle response style (MRS) were the two most common response styles in the five domains of the Big Five Inventory-21 at T1 and T4. The ERS and MRS remained stable throughout the mental health intervention. There was no gender-related relationship found for response styles in the data at separate time points (T1 and T4) or in the longitudinal data (long-format data). Importantly, the findings revealed that odds of a clinical adolescent changing their personality response style (ERS → MRS or MRS → ERS) increased by 1.15 times with each unit increase in depression score.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusion</h3>\\n \\n <p>Researchers and practitioners should be aware that the stability of the ERS and MRS for a personality measure may result in response style-based explanations for findings obtained from longitudinal data, such as trait stability or trait change over waves.</p>\\n </section>\\n </div>\",\"PeriodicalId\":46997,\"journal\":{\"name\":\"Counselling & Psychotherapy Research\",\"volume\":\"25 2\",\"pages\":\"\"},\"PeriodicalIF\":1.2000,\"publicationDate\":\"2024-11-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Counselling & Psychotherapy Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/capr.12859\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"PSYCHOLOGY, CLINICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Counselling & Psychotherapy Research","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/capr.12859","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PSYCHOLOGY, CLINICAL","Score":null,"Total":0}
Stability of response styles in a personality measure: Evidence with clinical adolescents
Background
In counselling and psychotherapy, individuals may exhibit response styles when completing personality measures, potentially distorting comparisons of inter- and intra-differences. However, previous research has primarily focused on nonclinical samples and cross-sectional data, leaving gaps in our understanding of the stability of response styles and their impact on clinical samples. This study aimed to fill gaps in knowledge by applying a mixed Rasch model to explore response style stability in a personality measure in clinical adolescents.
Methods
The study sample consisted of 290 clinical adolescents (112 males and 178 females) who were experiencing depressive symptoms and receiving continuous treatment for at least 2 years. Each participant completed a personality assessment at four time points with a six-month interval between each assessment. To comprehensively examine the stability of response styles over an extended period, this study utilised mixed Rash modelling to analyse enduring response patterns using data collected at the initial (T1) and fourth (T4) assessments, which were spaced 2 years apart.
Results
Using mixed Rasch modelling, the results showed that the extreme response style (ERS) and middle response style (MRS) were the two most common response styles in the five domains of the Big Five Inventory-21 at T1 and T4. The ERS and MRS remained stable throughout the mental health intervention. There was no gender-related relationship found for response styles in the data at separate time points (T1 and T4) or in the longitudinal data (long-format data). Importantly, the findings revealed that odds of a clinical adolescent changing their personality response style (ERS → MRS or MRS → ERS) increased by 1.15 times with each unit increase in depression score.
Conclusion
Researchers and practitioners should be aware that the stability of the ERS and MRS for a personality measure may result in response style-based explanations for findings obtained from longitudinal data, such as trait stability or trait change over waves.
期刊介绍：
Counselling and Psychotherapy Research is an innovative international peer-reviewed journal dedicated to linking research with practice. Pluralist in orientation, the journal recognises the value of qualitative, quantitative and mixed methods strategies of inquiry and aims to promote high-quality, ethical research that informs and develops counselling and psychotherapy practice. CPR is a journal of the British Association of Counselling and Psychotherapy, promoting reflexive research strongly linked to practice. The journal has its own website: www.cprjournal.com. The aim of this site is to further develop links between counselling and psychotherapy research and practice by offering accessible information about both the specific contents of each issue of CPR, as well as wider developments in counselling and psychotherapy research. The aims are to ensure that research remains relevant to practice, and for practice to continue to inform research development.
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