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Measuring Victimhood: Developing a Victim Self-Ascription Scale
Unformatted Document Text:  DRAFT – For permission to cite contact Andy Davies on ## email not listed ## inventory of just 21 items. Separate analyses of the perceived harm, external attribution and injustice scales were conducted resulting in single factor solutions of ten, thirteen and five items respectively. These twenty-eight items were then factor analyzed together, using an oblique rotation. Following further deletions, a three-factor solution was found using just twenty-one of the items. Perceived harm was measured using a scale of eight items. External attribution was measured using a scale of nine items. Perceived injustice was measured using a scale of four items. These same 21 items were then factor analyzed using the entire dataset producing the results reported in Table 1. All factor loadings greater than 0.3 and -0.3 have been highlighted in bold type. - Insert Table 1 about here - The oblique factor analysis produces two matrices – the pattern and structure matrix – both of which should be examined in interpreting the results (Rummel, 1970). In this case, the matrices paint fundamentally the same picture, of items loading independently on one of three factors measuring perceived harm, perceived external attribution, and perceived injustice. The final model explained over 67% of the variance in the items. Reliability analyses were conducted on each scale using the whole dataset. The perceived harm, external attribution and injustice scales showed reliability coefficients of 0.898, 0.934 and 0.838 respectively. A similar procedure was adopted for the measure of feelings of anger. All nine original items were included in the final anger measure, and the alpha reliability coefficient was 0.923. Dalbert’s measure of personal belief in a just world obtained an alpha reliability coefficient of 0.727. Page 14

Authors: Davies, Andrew.
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DRAFT – For permission to cite contact Andy Davies on ## email not listed ##
inventory of just 21 items.  Separate analyses of the perceived harm, external attribution and injustice 
scales were conducted resulting in single factor solutions of ten, thirteen and five items respectively. 
These twenty-eight items were then factor analyzed together, using an oblique rotation.  Following 
further deletions, a three-factor solution was found using just twenty-one of the items.  Perceived harm 
was measured using a scale of eight items.  External attribution was measured using a scale of nine 
items.  Perceived injustice was measured using a scale of four items.  These same 21 items were then 
factor analyzed using the entire dataset producing the results reported in Table 1.  All factor loadings 
greater than 0.3 and -0.3 have been highlighted in bold type.
- Insert Table 1 about here -
The oblique factor analysis produces two matrices – the pattern and structure matrix – both of which 
should be examined in interpreting the results (Rummel, 1970).  In this case, the matrices paint 
fundamentally the same picture, of items loading independently on one of three factors measuring 
perceived harm, perceived external attribution, and perceived injustice.  The final model explained over 
67% of the variance in the items.
Reliability analyses were conducted on each scale using the whole dataset.  The perceived harm, 
external attribution and injustice scales showed reliability coefficients of 0.898, 0.934 and 0.838 
respectively.  A similar procedure was adopted for the measure of feelings of anger.  All nine original 
items were included in the final anger measure, and the alpha reliability coefficient was 0.923. 
Dalbert’s measure of personal belief in a just world obtained an alpha reliability coefficient of 0.727.
Page 14

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