Literature DB >> 28358235

The Aging Semantic Differential in Mandarin Chinese: Measuring Attitudes toward Older Adults in China.

Ernest Gonzales1, Lisa A Marchiondo2, Jing Tan3, Yi Wang4, Huajuan Chen4.   

Abstract

The Aging Semantic Differential (ASD) is the most widely used instrument to measure young people's attitudes towards older adults. This study translated the ASD to Mandarin and examined its psychometric properties. The Mandarin-ASD contains three latent factors (Personality and Mental Health, Societal Participation, and Physical) that have high internal reliability and reasonable discriminate validity. Social work researchers, practitioners and allied professionals may utilize the ASD-Mandarin instrument to measure young people's attitudes towards older adults in China. We issue a call for a universal-ASD that can be applied across different cultural contexts.

Entities:  

Keywords:  Agism; Mandarin Chinese; aging semantic differential; confirmatory factor analysis

Mesh:

Year:  2017        PMID: 28358235     DOI: 10.1080/01634372.2017.1295122

Source DB:  PubMed          Journal:  J Gerontol Soc Work        ISSN: 0163-4372


  3 in total

1.  Study protocol of a multi-center RCT testing a social-cognitive intervention to promote volunteering in older adults against an active control.

Authors:  Lisa M Warner; Da Jiang; Alice Ming-Lin Chong; Tianyuan Li; Julia K Wolff; Kee-Lee Chou
Journal:  BMC Geriatr       Date:  2019-01-24       Impact factor: 3.921

2.  A systematic review of existing ageism scales.

Authors:  Liat Ayalon; Pnina Dolberg; Sarmitė Mikulionienė; Jolanta Perek-Białas; Gražina Rapolienė; Justyna Stypinska; Monika Willińska; Vânia de la Fuente-Núñez
Journal:  Ageing Res Rev       Date:  2019-06-19       Impact factor: 10.895

3.  Attitudes towards older adults (80 years and older): A measurement with the ageing semantic differential - A cross-sectional study of Austrian students.

Authors:  Gerhilde Schüttengruber; Erwin Stolz; Christa Lohrmann; Ulla Kriebernegg; Ruud Halfens; Franziska Großschädl
Journal:  Int J Older People Nurs       Date:  2021-10-30       Impact factor: 2.471

  3 in total

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