心理学
积极的青年发展
比例(比率)
社会心理学
样品(材料)
性格(数学)
趋同(经济学)
应用心理学
发展心理学
色谱法
经济增长
量子力学
几何学
物理
经济
化学
数学
作者
Melissa Jermann,Robert E. McGrath
出处
期刊:The Journal of Positive Psychology
日期:2023-11-17
卷期号:19 (3): 554-565
被引量:2
标识
DOI:10.1080/17439760.2023.2282775
摘要
ABSTRACTThe VIA-Youth (Park & Peterson, 2006) is perhaps the most commonly administered youth measure of the Peterson and Seligman (2004) character strengths. This article is the first in a series describing revision of the VIA-Youth, with the goals of making the development process more transparent, targeting scale unidimensionality, achieving measurement invariance, and extending the age range to 8–17. A sample of 286 youth in three countries completed 198 candidate items, from which a 98-item inventory was developed. Ratings of strengths were provided for 250 of the youth by 202 parents and 164 teachers. The relative size of relationships between informants was related to youth age, and to ratings of the observability and evaluativeness of the strengths, in the expected direction. The findings suggest youth self-report of character strengths and ratings by significant others are not highly related, but are consistent with prior studies of informant convergence in youth ratings.KEYWORDS: Character strengthsVIA-Youthunidimensionalitycross-informant youth ratingsSelf-Other Knowledge Asymmetry (SOKA) model Disclosure statementNo potential conflict of interest was reported by the author(s).Data availability statementData can be requested from the corresponding author.Notes1. A version comprised of three items per scale, the VIA-72, was developed at the same time consisting of the three items on each scale with the highest CITCs, but this version was never extensively used.Additional informationFundingThe research summarized in this article was funded in part by the VIA Institute on Character. We are grateful to the school personnel who made this study possible. The data and syntax used in analyses described in this article are available upon request to the corresponding author.
科研通智能强力驱动
Strongly Powered by AbleSci AI