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Cross-sectional study of Australian medical student attitudes towards older people confirms a four-factor structure and psychometric properties of the Australian Ageing Semantic Differential

OBJECTIVES: The Australian Ageing Semantic Differential (AASD) survey was developed to quantify medical student attitudes towards older people. The purpose of this study is to examine psychometric properties of the survey and confirm its factor structure of four composites. DESIGN: A cross-sectional...

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Autores principales: Wilson, Mark, Tran, Yvonne, Wilson, Ian, Kurrle, Susan E
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7430444/
https://www.ncbi.nlm.nih.gov/pubmed/32801196
http://dx.doi.org/10.1136/bmjopen-2019-036108
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author Wilson, Mark
Tran, Yvonne
Wilson, Ian
Kurrle, Susan E
author_facet Wilson, Mark
Tran, Yvonne
Wilson, Ian
Kurrle, Susan E
author_sort Wilson, Mark
collection PubMed
description OBJECTIVES: The Australian Ageing Semantic Differential (AASD) survey was developed to quantify medical student attitudes towards older people. The purpose of this study is to examine psychometric properties of the survey and confirm its factor structure of four composites. DESIGN: A cross-sectional study. SETTING: Three medical schools in three Australian states: Victoria, Western Australia and South Australia. PARTICIPANTS: Third-year or fourth-year medical students (n=188, response rate=79%). OUTCOME MEASURES: In the previous AASD study, exploratory factor analysis supported a four-factor model consisting of ‘Instrumentality’ (I), ‘Personal Appeal’ (PA), ‘Experience’ (E) and ‘Sociability’ (S). Congeneric one-factor confirmatory factor analysis (CFA) were used to examine model fit for factors using a new student sample (n=188). Psychometric properties of survey items and factors. Post-hoc analysis of pooled data from this study and earlier AASD study (n=509). RESULTS: Indices of fit (Comparative Fit Index (CFI), Tucker-Lewis Index (TLI), root mean square error of approximation (RMSEA), standardised root mean square residual (SRMR)) for data to the factor model were: PA adequate fit (CFI=0.94, TLI=0.89, RMSEA=0.11 and SRMR=0.05), I good fit (CFI=0.99, TLI=0.99, RMSEA=0.04 and SRMR=0.03), S good fit (CFI=0.98, TLI=0.95, RMSEA=0.06 and SRMR=0.03) and E excellent fit (CFI=1.0, TLI=1.0, RMSEA=0.00 and SRMR=0.01). The AASD was internally consistent (Cronbach’s alpha=0.84), without difference in mean student scores by institution. Mean AASD score was positive for medical students outside New South Wales (73.2/114). Mean I score for all Australian students was negative, with female respondents’ mean E score significantly higher than their counterparts. A positive correlation between student age and I score was noted. CONCLUSIONS: The AASD is internally consistent and generalisable within Australia, with acceptable structural validity for measuring medical student attitudes towards older people within a four-factor model. Student attitudes were positive globally and within all factors except I. Female students rated older persons E more positively. Older students recorded more positive attitudes towards I of older people.
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spelling pubmed-74304442020-08-24 Cross-sectional study of Australian medical student attitudes towards older people confirms a four-factor structure and psychometric properties of the Australian Ageing Semantic Differential Wilson, Mark Tran, Yvonne Wilson, Ian Kurrle, Susan E BMJ Open Geriatric Medicine OBJECTIVES: The Australian Ageing Semantic Differential (AASD) survey was developed to quantify medical student attitudes towards older people. The purpose of this study is to examine psychometric properties of the survey and confirm its factor structure of four composites. DESIGN: A cross-sectional study. SETTING: Three medical schools in three Australian states: Victoria, Western Australia and South Australia. PARTICIPANTS: Third-year or fourth-year medical students (n=188, response rate=79%). OUTCOME MEASURES: In the previous AASD study, exploratory factor analysis supported a four-factor model consisting of ‘Instrumentality’ (I), ‘Personal Appeal’ (PA), ‘Experience’ (E) and ‘Sociability’ (S). Congeneric one-factor confirmatory factor analysis (CFA) were used to examine model fit for factors using a new student sample (n=188). Psychometric properties of survey items and factors. Post-hoc analysis of pooled data from this study and earlier AASD study (n=509). RESULTS: Indices of fit (Comparative Fit Index (CFI), Tucker-Lewis Index (TLI), root mean square error of approximation (RMSEA), standardised root mean square residual (SRMR)) for data to the factor model were: PA adequate fit (CFI=0.94, TLI=0.89, RMSEA=0.11 and SRMR=0.05), I good fit (CFI=0.99, TLI=0.99, RMSEA=0.04 and SRMR=0.03), S good fit (CFI=0.98, TLI=0.95, RMSEA=0.06 and SRMR=0.03) and E excellent fit (CFI=1.0, TLI=1.0, RMSEA=0.00 and SRMR=0.01). The AASD was internally consistent (Cronbach’s alpha=0.84), without difference in mean student scores by institution. Mean AASD score was positive for medical students outside New South Wales (73.2/114). Mean I score for all Australian students was negative, with female respondents’ mean E score significantly higher than their counterparts. A positive correlation between student age and I score was noted. CONCLUSIONS: The AASD is internally consistent and generalisable within Australia, with acceptable structural validity for measuring medical student attitudes towards older people within a four-factor model. Student attitudes were positive globally and within all factors except I. Female students rated older persons E more positively. Older students recorded more positive attitudes towards I of older people. BMJ Publishing Group 2020-08-16 /pmc/articles/PMC7430444/ /pubmed/32801196 http://dx.doi.org/10.1136/bmjopen-2019-036108 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Geriatric Medicine
Wilson, Mark
Tran, Yvonne
Wilson, Ian
Kurrle, Susan E
Cross-sectional study of Australian medical student attitudes towards older people confirms a four-factor structure and psychometric properties of the Australian Ageing Semantic Differential
title Cross-sectional study of Australian medical student attitudes towards older people confirms a four-factor structure and psychometric properties of the Australian Ageing Semantic Differential
title_full Cross-sectional study of Australian medical student attitudes towards older people confirms a four-factor structure and psychometric properties of the Australian Ageing Semantic Differential
title_fullStr Cross-sectional study of Australian medical student attitudes towards older people confirms a four-factor structure and psychometric properties of the Australian Ageing Semantic Differential
title_full_unstemmed Cross-sectional study of Australian medical student attitudes towards older people confirms a four-factor structure and psychometric properties of the Australian Ageing Semantic Differential
title_short Cross-sectional study of Australian medical student attitudes towards older people confirms a four-factor structure and psychometric properties of the Australian Ageing Semantic Differential
title_sort cross-sectional study of australian medical student attitudes towards older people confirms a four-factor structure and psychometric properties of the australian ageing semantic differential
topic Geriatric Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7430444/
https://www.ncbi.nlm.nih.gov/pubmed/32801196
http://dx.doi.org/10.1136/bmjopen-2019-036108
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