Psychometric Validation of the Revised Family Affluence Scale:a Latent Variable Approach

• Published in: Child Indicators Research
• Main Authors: Torsheim, Torbjørn, Cavallo, Franco, Levin, Kate Ann, Schnohr, Christina, Mazur, Joanna, Niclasen, Birgit, Currie, Candace
• Format: Article in Journal/Newspaper
• Language: English
• Published: 2016
• Subjects: Adolescence; FASIII; HBSC; Measurement; SES; Greenland
• Online Access: https://portal.findresearcher.sdu.dk/da/publications/4c0bb30e-f6ba-42d5-b33f-4d16345b095c; https://doi.org/10.1007/s12187-015-9339-x; https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4958120/pdf/12187_2015_Article_9339.pdf

The aim was to develop and test a brief revised version of the family affluence scale. A total of 7120 students from Denmark, Greenland, Italy, Norway, Poland, Romania, Scotland and Slovakia reported on a list of 16 potential indicators of affluence. Responses were subject to item screening and test of dimensionality. Bifactor analysis revealed a strong general factor of affluence in all countries, but with additional specific factors in all countries. The specific factors mainly reflected overlapping item content. Item screening was conducted to eliminate items with low discrimination and local dependence, reducing the number of items from sixteen to six: Number of computers, number of cars, own bedroom, holidays abroad, dishwasher, and bathroom. The six-item version was estimated with Samejima’s graded response model, and tested for differential item functioning by country. Three of the six items were invariant across countries, thus anchoring the scale to a common metric across countries. The six-item scale correlated with parental reported income groups in six out of eight countries. Findings support a revision to six items in the family affluence scale. © 2015, The Author(s). The aim was to develop and test a brief revised version of the family affluence scale. A total of 7120 students from Denmark, Greenland, Italy, Norway, Poland, Romania, Scotland and Slovakia reported on a list of 16 potential indicators of affluence. Responses were subject to item screening and test of dimensionality. Bifactor analysis revealed a strong general factor of affluence in all countries, but with additional specific factors in all countries. The specific factors mainly reflected overlapping item content. Item screening was conducted to eliminate items with low discrimination and local dependence, reducing the number of items from sixteen to six: Number of computers, number of cars, own bedroom, holidays abroad, dishwasher, and bathroom. The six-item version was estimated with Samejima’s graded response model, and tested ...