Assessing the psychometric and ecometric properties of neighborhood scales using adolescent survey data from urban and rural Scotland.

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Child and Adolescent Health Research Unit, School of Medicine, Medical and Biological Sciences Building, University of St Andrews, St Andrews, KY16 9TF, UK.

Published: March 2017

AI Article Synopsis

  • This study focused on creating and validating scales to measure neighborhood features affecting adolescent well-being, as existing research lacks these specific instruments.
  • Researchers utilized data from a Scottish survey, examining neighborhood aspects through a sample that included rural adolescents, while evaluating reliability and differences across urban and rural settings.
  • Results indicated two main constructs, neighborhood social cohesion and disorder, with findings showing rural adolescents report higher cohesion and lower disorder than their urban counterparts.

Article Abstract

Background: Despite the well-established need for specific measurement instruments to examine the relationship between neighborhood conditions and adolescent well-being outcomes, few studies have developed scales to measure features of the neighborhoods in which adolescents reside. Moreover, measures of neighborhood features may be operationalised differently by adolescents living in different levels of urban/rurality. This has not been addressed in previous studies. The objectives of this study were to: 1) establish instruments to measure adolescent neighborhood features at both the individual and neighborhood level, 2) assess their psychometric and ecometric properties, 3) test for invariance by urban/rurality, and 4) generate neighborhood level scores for use in further analysis.

Methods: Data were from the Scottish 2010 Health Behaviour in School-aged Children Survey, which included an over-sample of rural adolescents. The survey responses of interest came from questions designed to capture different facets of the local area in which each respondent resided. Intermediate data zones were used as proxies for neighborhoods. Internal consistency was evaluated by Cronbach's alpha. Invariance was examined using confirmatory factor analysis. Multilevel models were used to estimate ecometric properties and generate neighborhood scores.

Results: Two constructs labeled neighborhood social cohesion and neighborhood disorder were identified. Adjustment was made to the originally specified model to improve model fit and measures of invariance. At the individual level, reliability was .760 for social cohesion and .765 for disorder, and between .524 and .571 for both constructs at the neighborhood level. Individuals in rural areas experienced greater neighborhood social cohesion and lower levels of neighborhood disorder compared with those in urban areas.

Conclusion: The scales are appropriate for measuring neighborhood characteristics experienced by adolescents across urban and rural Scotland, and can be used in future studies of neighborhoods and health. However, trade-offs between neighborhood sample size and reliability must be considered.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5370470PMC
http://dx.doi.org/10.1186/s12963-017-0129-1DOI Listing

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