C. Pocnet, J. Antonietti, A. von Gunten, J. Rossier
{"title":"五因素模型(SIFFM)在瑞士样本中的结构化访谈的改编法语形式的验证","authors":"C. Pocnet, J. Antonietti, A. von Gunten, J. Rossier","doi":"10.1024/1421-0185/a000205","DOIUrl":null,"url":null,"abstract":"We analyzed the psychometric properties of the Structured Interview for the Five-Factor Model (SIFFM) in a French-speaking Swiss sample and compared the French version to the original English version. A community-based sample of 260 participants (183 women and 77 men, aged 20 to 88 years, Mage = 46.23, SDage = 16.37) were assessed using the SIFFM and the NEO-FFI-R. Forty of the participants agreed to be filmed or to be assessed by two investigators simultaneously. The internal consistency coefficients of the five dimensions of SIFFM ranged from .63 to .84. An exploratory factor analysis within the confirmatory factor analysis framework showed that the structure of the French version of the SIFFM was in line with the structure suggested by the Five-Factor Model. Except for the modesty and dutifulness subscales, each facet scale had its highest factor loading on the factor representing the targeted domain. Moreover, a principal axis joint factor analysis of the SIFFM and NEO-FFI-R domains suggested that the convergent validity between the two instruments was adequate. Furthermore, the interrater reliability coefficients for the SIFFM scores were high. The French version of the SIFFM shows acceptable psychometric properties, comparable to those of the English version, and may be an informative assessment method and an alternative to self-report measures.","PeriodicalId":46193,"journal":{"name":"Swiss Journal of Psychology","volume":"77 1","pages":"33–43"},"PeriodicalIF":0.8000,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Validation of an Adapted French Form of the Structured Interview for the Five-Factor Model (SIFFM) in a Swiss Sample\",\"authors\":\"C. Pocnet, J. Antonietti, A. von Gunten, J. Rossier\",\"doi\":\"10.1024/1421-0185/a000205\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We analyzed the psychometric properties of the Structured Interview for the Five-Factor Model (SIFFM) in a French-speaking Swiss sample and compared the French version to the original English version. A community-based sample of 260 participants (183 women and 77 men, aged 20 to 88 years, Mage = 46.23, SDage = 16.37) were assessed using the SIFFM and the NEO-FFI-R. Forty of the participants agreed to be filmed or to be assessed by two investigators simultaneously. The internal consistency coefficients of the five dimensions of SIFFM ranged from .63 to .84. An exploratory factor analysis within the confirmatory factor analysis framework showed that the structure of the French version of the SIFFM was in line with the structure suggested by the Five-Factor Model. Except for the modesty and dutifulness subscales, each facet scale had its highest factor loading on the factor representing the targeted domain. Moreover, a principal axis joint factor analysis of the SIFFM and NEO-FFI-R domains suggested that the convergent validity between the two instruments was adequate. Furthermore, the interrater reliability coefficients for the SIFFM scores were high. The French version of the SIFFM shows acceptable psychometric properties, comparable to those of the English version, and may be an informative assessment method and an alternative to self-report measures.\",\"PeriodicalId\":46193,\"journal\":{\"name\":\"Swiss Journal of Psychology\",\"volume\":\"77 1\",\"pages\":\"33–43\"},\"PeriodicalIF\":0.8000,\"publicationDate\":\"2018-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Swiss Journal of Psychology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1024/1421-0185/a000205\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Psychology\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Swiss Journal of Psychology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1024/1421-0185/a000205","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Psychology","Score":null,"Total":0}
Validation of an Adapted French Form of the Structured Interview for the Five-Factor Model (SIFFM) in a Swiss Sample
We analyzed the psychometric properties of the Structured Interview for the Five-Factor Model (SIFFM) in a French-speaking Swiss sample and compared the French version to the original English version. A community-based sample of 260 participants (183 women and 77 men, aged 20 to 88 years, Mage = 46.23, SDage = 16.37) were assessed using the SIFFM and the NEO-FFI-R. Forty of the participants agreed to be filmed or to be assessed by two investigators simultaneously. The internal consistency coefficients of the five dimensions of SIFFM ranged from .63 to .84. An exploratory factor analysis within the confirmatory factor analysis framework showed that the structure of the French version of the SIFFM was in line with the structure suggested by the Five-Factor Model. Except for the modesty and dutifulness subscales, each facet scale had its highest factor loading on the factor representing the targeted domain. Moreover, a principal axis joint factor analysis of the SIFFM and NEO-FFI-R domains suggested that the convergent validity between the two instruments was adequate. Furthermore, the interrater reliability coefficients for the SIFFM scores were high. The French version of the SIFFM shows acceptable psychometric properties, comparable to those of the English version, and may be an informative assessment method and an alternative to self-report measures.