Preisach model study of nonlinear exchange bias in antiferromagnetically coupled bilayers

2006 ◽  
Author(s):  
O. Hovorka ◽  
A. Berger ◽  
G. Friedman
Keyword(s):  
Exchange Bias ◽  
Preisach Model ◽  
Model Study ◽  
Coupled Bilayers

Preisach Model of Exchange Bias in Antiferromagnetically Coupled Bilayers

2006 ◽  
Vol 42 (10) ◽  
pp. 3129-3131 ◽  
Author(s):  
O. Hovorka ◽  
A. Berger ◽  
G. Friedman
Keyword(s):  
Exchange Bias ◽  
Preisach Model ◽  
Coupled Bilayers

Positive exchange bias observed in Pt-inserted Cr2O3/Co exchange coupled bilayers

2014 ◽  
Vol 105 (21) ◽  
pp. 212406 ◽  
Author(s):  
T. Nozaki ◽  
M. Oida ◽  
T. Ashida ◽  
N. Shimomura ◽  
T. Shibata ◽  
...  
Keyword(s):  
Exchange Bias ◽  
Coupled Bilayers

A Preisach model study of demagnetized states

1992 ◽  
Vol 104-107 ◽  
pp. 313-314 ◽  
Author(s):  
M. Pardavi-Horvath ◽  
J. Oti ◽  
G. Vertesy ◽  
L.H. Bennett ◽  
L.J. Swartzendruber
Keyword(s):  
Preisach Model ◽  
Model Study

Social Desirability in Personality Inventories

2014 ◽  
Vol 35 (3) ◽  
pp. 144-157 ◽  
Author(s):  
Martin Bäckström ◽  
Fredrik Björklund
Keyword(s):  
Social Desirability ◽  
Big Five ◽  
Work Performance ◽  
Factor Model ◽  
Five Factor Model ◽  
Peer Ratings ◽  
Personality Inventories ◽  
Model Study ◽  
The Difference ◽  
New Variables

The difference between evaluatively loaded and evaluatively neutralized five-factor inventory items was used to create new variables, one for each factor in the five-factor model. Study 1 showed that these variables can be represented in terms of a general evaluative factor which is related to social desirability measures and indicated that the factor may equally well be represented as separate from the Big Five as superordinate to them. Study 2 revealed an evaluative factor in self-ratings and peer ratings of the Big Five, but the evaluative factor in self-reports did not correlate with such a factor in ratings by peers. In Study 3 the evaluative factor contributed above the Big Five in predicting work performance, indicating a substance component. The results are discussed in relation to measurement issues and self-serving biases.

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