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Table 1 Item loading for principal component factor analysis and original scale dimension (n = 967)

From: Psychometric properties of a Chinese version of the Fraboni scale of ageism: evidence from medical students sample

Item no.Factor and loading aOriginal scale dimension
AvoidanceExcludedStereotype
Item 170.6840.0820.095discrimination
Item 200.6760.0480.061discrimination
Item 70.5260.3020.257avoidance
Item 260.4800.1620.257avoidance
Item 230.4680.204−0.220discrimination
Item 140.4680.204−0.224avoidance
Item 60.4180.3370.337avoidance
Item 250.3880.0010.383anticlocation
Item 100.0710.7040.247avoidance
Item 90.0540.6930.253anticlocation
Item 130.1470.6200.044avoidance
Item 240.1830.491−0.170discrimination
Item 150.3620.4780.245avoidance
Item 11−0.0200.4460.256avoidance
Item 210.2820.405−0.104discrimination
Item 5−0.1360.1590.617anticlocation
Item 4−0.1510.0760.600anticlocation
Item 30.1370.0080.563anticlocation
Item 180.374−.0060.444discrimination
Item 270.1950.2890.373anticlocation
Item 280.2870.1530.364anticlocation
Item 190.0000.0920.358anticlocation
Item 160.1750.0180.284 
  1. Extraction method: Principal component analysis
  2. Rotation method: Kaister standardized orthogonal ratation
  3. aRotation converges after ten iterations