Examining the Psychometric Properties and Factor Structure of EASE

Abstract Initial information about psychometric properties of EASE subscales as well as for the overall instrument will be discussed. Development of the tool has included initial determination of face-validity, followed by establishing construct validity (r = 0.88 with EAT tool), and interrater agreement (r = 0.97). With the administration of the EASE tool in 228 living areas (e.g., units), parallel analysis was used to investigate the structure of the 130 item EASE instrument. 12 components were initially identified, and several additional component analyses were examined to determine the most efficient structure. Results describe the structure of the EASE instrument with regard to living area characteristics, particularly focusing on items that discriminate between different models (traditional, household and hybrid). Recognition of the dual purposes of the EASE tool as both a design planning resource and as a tool for comparative research across multiple settings, different potential structures will be discussed.

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Publication Details

Journal
Innovation in Aging
Published
2025-12-01
DOI
https://doi.org/10.1093/geroni/igaf122.621
Primary Topic
Urban Design and Spatial Analysis
Type
article
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article

Examining the Psychometric Properties and Factor Structure of EASE

Robert Wrublowsky, Migette L. Kaup, Margaret Calkins, Adam Davey
Innovation in Aging
Urban Design and Spatial Analysis
article

Examining the Psychometric Properties and Factor Structure of EASE

Robert Wrublowsky, Migette L. Kaup, Margaret Calkins, Adam Davey
article en

Abstract

Abstract Initial information about psychometric properties of EASE subscales as well as for the overall instrument will be discussed. Development of the tool has included initial determination of face-validity, followed by establishing construct validity (r = 0.88 with EAT tool), and interrater agreement (r = 0.97). With the administration of the EASE tool in 228 living areas (e.g., units), parallel analysis was used to investigate the structure of the 130 item EASE instrument. 12 components were initially identified, and several additional component analyses were examined to determine the most efficient structure. Results describe the structure of the EASE instrument with regard to living area characteristics, particularly focusing on items that discriminate between different models (traditional, household and hybrid). Recognition of the dual purposes of the EASE tool as both a design planning resource and as a tool for comparative research across multiple settings, different potential structures will be discussed.

Innovation in AgingVol. 9(Supplement_2)
Kansas State University (US), Research Manitoba (CA), Cleveland Heights University Heights Public Library (US), University of Delaware (US)
Reduced inequalities
Openalex Percentile: Top 36%
Urban Design and Spatial Analysis
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