Geographically Weighted Cronbach's Alpha (GWalpha): An Exploratory Local Measure of Reliability for Scale Construction

Fuente: Wiley Open Access
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Auteurs principaux: Sui Zhang, Ziqi Li
Format: Artículo Open Access
Publié: Wiley 2025
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author Sui Zhang
Ziqi Li
author_facet Sui Zhang
Ziqi Li
Sui Zhang
Ziqi Li
collection Wiley Open Access
contents Geographically Weighted Cronbach's Alpha (GWalpha): An Exploratory Local Measure of Reliability for Scale Construction Sui Zhang Ziqi Li Geographical Analysis ABSTRACTScales, as survey instruments, are crucial for investigating people's attitudes and behaviors in social science research. Cronbach's alpha is the most frequently used measure of internal consistency reliability for multi‐item survey scales. Affected by the spatial context of respondents' locations, the reliability of responses to a scale may vary geographically, whereas classical Cronbach's Alpha assumes that reliability is stationary across all samples being estimated. In this article, a local version of Cronbach's alpha, Geographically Weighted Cronbach's Alpha (GWalpha), is developed to explore how the reliability of a measure varies spatially. Issues concerning the bandwidth, inference, and interpretation are also discussed. We demonstrate the utility of GWalpha on a synthetic dataset with known parameters and an empirical dataset. Results suggest that GWalpha can effectively reveal and measure how spatial context influences survey reliability, which has been largely overlooked in the existing literature. 10.1111/gean.70021 http://creativecommons.org/licenses/by/4.0/
doi_str_mv 10.1111/gean.70021
format Artículo Open Access
id wiley_oa_10_1111_gean_70021
institution Wiley Open Access
license_str_mv http://creativecommons.org/licenses/by/4.0/
publishDate 2025
publisher Wiley
record_format wiley_oa
spellingShingle Geographically Weighted Cronbach's Alpha (GWalpha): An Exploratory Local Measure of Reliability for Scale Construction
Sui Zhang
Ziqi Li
Geographical Analysis
Geographically Weighted Cronbach's Alpha (GWalpha): An Exploratory Local Measure of Reliability for Scale Construction Sui Zhang Ziqi Li Geographical Analysis ABSTRACTScales, as survey instruments, are crucial for investigating people's attitudes and behaviors in social science research. Cronbach's alpha is the most frequently used measure of internal consistency reliability for multi‐item survey scales. Affected by the spatial context of respondents' locations, the reliability of responses to a scale may vary geographically, whereas classical Cronbach's Alpha assumes that reliability is stationary across all samples being estimated. In this article, a local version of Cronbach's alpha, Geographically Weighted Cronbach's Alpha (GWalpha), is developed to explore how the reliability of a measure varies spatially. Issues concerning the bandwidth, inference, and interpretation are also discussed. We demonstrate the utility of GWalpha on a synthetic dataset with known parameters and an empirical dataset. Results suggest that GWalpha can effectively reveal and measure how spatial context influences survey reliability, which has been largely overlooked in the existing literature. 10.1111/gean.70021 http://creativecommons.org/licenses/by/4.0/
title Geographically Weighted Cronbach's Alpha (GWalpha): An Exploratory Local Measure of Reliability for Scale Construction
topic Geographical Analysis
url https://onlinelibrary.wiley.com/doi/10.1111/gean.70021