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Ear Hear. 2019 May 20. doi: 10.1097/AUD.0000000000000746. [Epub ahead of print]

The Revised Hearing Handicap Inventory and Screening Tool Based on Psychometric Reevaluation of the Hearing Handicap Inventories for the Elderly and Adults.

Author information

1
Department of Public Health Sciences, Medical University of South Carolina, Charleston, South Carolina, USA.
2
Department of Otolaryngology-Head and Neck Surgery, Medical University of South Carolina, Charleston, South Carolina, USA.
3
Department of Healthcare Leadership and Management, Medical University of South Carolina, Charleston, South Carolina, USA.

Abstract

OBJECTIVES:

The present study evaluates the items of the Hearing Handicap Inventory for the Elderly and Hearing Handicap Inventory for Adults (HHIE/A) using Mokken scale analysis (MSA), a type of nonparametric item response theory, and develops updated tools with optimal psychometric properties.

DESIGN:

In a longitudinal study of age-related hearing loss, 1447 adults completed the HHIE/A and audiometric testing at baseline. Discriminant validity of the emotional consequences and social/situational effects subscales of the HHIE/A was assessed, and nonparametric item response theory was used to explore dimensionality of the items of the HHIE/A and to refine the scales.

RESULTS:

The HHIE/A items form strong unidimensional scales measuring self-perceived hearing handicap, but with a lack of discriminant validity of the two distinct subscales. Two revised scales, the 18-item Revised Hearing Handicap Inventory and the 10-item Revised Hearing Handicap Inventory-Screening, were developed from the common items of the original HHIE/A that met the assumptions of MSA. The items on both of the revised scales can be ordered in terms of increasing difficulty.

CONCLUSIONS:

The results of the present study suggest that the newly developed Revised Hearing Handicap Inventory and Revised Hearing Handicap Inventory-Screening are strong unidimensional, clinically informative measures of self-perceived hearing handicap that can be used for adults of all ages. The real-data example also demonstrates that MSA is a valuable alternative to classical psychometric analysis.

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