PD68 A Cross-Cultural Validation Study Of The German And English Versions Of The ICEpop CAPability measure for Adults (ICECAP-A)

Introduction Proponents of the capability approach argue that the effect of health technologies should be measured in terms of capabilities, that is, the freedom to live as desired. The ICECAP-A, initially developed in the UK, has been used internationally to measure capability wellbeing. This study examined whether participants from Australia, Canada, Germany, the UK, and the USA similarly interpret and respond to the ICECAP-A. Methods A multigroup confirmatory factor analysis was conducted. Four types of measurement invariance were tested: configural invariance, metric invariance, scalar invariance, and residual invariance. Measurement invariance was assessed by studying the comparative fit index (CFI) and the root mean square error of approximation (RMSEA) and standardized root mean squared residual (SRMR) fit indices. For this study, data from the multi-instrument comparison database were used to compare response patterns of participants from Australia (n=1,430), Canada (n=1,330), Germany (n=1,269), the UK (n=1,356), and the USA (n=1,460). Results The configural invariant model showed adequate fit (CFI 0.992, RMSEA 0.076, SRMR 0.016), and metric invariance was established (change in variables: CFI -0.002, RMSEA -0.014, SRMR 0.015). Scalar invariance (and consequently residual invariance) was not established (change in variables: CFI -0.036, RMSEA 0.046, SRMR 0.018). Post-hoc analysis indicated that full measurement invariance could be established by excluding the German sample, with improved fit index values for configural invariance (CFI 0.994, RMSEA 0.069, SRMR 0.015), metric invariance (change in variables: CFI-0.000, RMSEA -0.020, SRMR 0.006), scalar invariance (change in variables: CFI -0.007, RMSEA 0.011, SRMR 0.006), and residual invariance (change in variables: CFI -0.002, RMSEA 0.009, RMR 0.006). Conclusions Response patterns to the German and English versions of the ICECAP-A differed. Caution should be exercised when using these two versions in the same study. Further research is required to determine whether these differences are due to linguistic variations from translation, or whether they indicate fundamental differences in participant understanding and responses to the different versions of the ICECAP-A.

Authors

Publication Details

Journal
International Journal of Technology Assessment in Health Care
Published
2024-12-01
DOI
https://doi.org/10.1017/s0266462324003258
Primary Topic
Cardiac pacing and defibrillation studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

PD68 A Cross-Cultural Validation Study Of The German And English Versions Of The ICEpop CAPability measure for Adults (ICECAP-A)

Michael Schlander, Jasper Ubels
International Journal of Technology Assessment in Health Care
Cardiac pacing and defibrillation studies
article

PD68 A Cross-Cultural Validation Study Of The German And English Versions Of The ICEpop CAPability measure for Adults (ICECAP-A)

Michael Schlander, Jasper Ubels
article en

Abstract

Introduction Proponents of the capability approach argue that the effect of health technologies should be measured in terms of capabilities, that is, the freedom to live as desired. The ICECAP-A, initially developed in the UK, has been used internationally to measure capability wellbeing. This study examined whether participants from Australia, Canada, Germany, the UK, and the USA similarly interpret and respond to the ICECAP-A. Methods A multigroup confirmatory factor analysis was conducted. Four types of measurement invariance were tested: configural invariance, metric invariance, scalar invariance, and residual invariance. Measurement invariance was assessed by studying the comparative fit index (CFI) and the root mean square error of approximation (RMSEA) and standardized root mean squared residual (SRMR) fit indices. For this study, data from the multi-instrument comparison database were used to compare response patterns of participants from Australia (n=1,430), Canada (n=1,330), Germany (n=1,269), the UK (n=1,356), and the USA (n=1,460). Results The configural invariant model showed adequate fit (CFI 0.992, RMSEA 0.076, SRMR 0.016), and metric invariance was established (change in variables: CFI -0.002, RMSEA -0.014, SRMR 0.015). Scalar invariance (and consequently residual invariance) was not established (change in variables: CFI -0.036, RMSEA 0.046, SRMR 0.018). Post-hoc analysis indicated that full measurement invariance could be established by excluding the German sample, with improved fit index values for configural invariance (CFI 0.994, RMSEA 0.069, SRMR 0.015), metric invariance (change in variables: CFI-0.000, RMSEA -0.020, SRMR 0.006), scalar invariance (change in variables: CFI -0.007, RMSEA 0.011, SRMR 0.006), and residual invariance (change in variables: CFI -0.002, RMSEA 0.009, RMR 0.006). Conclusions Response patterns to the German and English versions of the ICECAP-A differed. Caution should be exercised when using these two versions in the same study. Further research is required to determine whether these differences are due to linguistic variations from translation, or whether they indicate fundamental differences in participant understanding and responses to the different versions of the ICECAP-A.

International Journal of Technology Assessment in Health CareVol. 40(S1)
Openalex Percentile: Top 55%
Cardiac pacing and defibrillation studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.