Statistical coding method for facial features

1998 ◽  
Vol 145 (3) ◽  
pp. 187 ◽  
Author(s):  
D. Shah ◽  
S. Marshall
2007 ◽  
Vol 6 (1) ◽  
pp. 265-278
Author(s):  
Aladdin Shamilov ◽  
Senay Asma

2016 ◽  
Vol 75 (3) ◽  
pp. 133-140
Author(s):  
Robert Busching ◽  
Johannes Lutz

Abstract. Legally irrelevant information like facial features is used to form judgments about rape cases. Using a reverse-correlation technique, it is possible to visualize criminal stereotypes and test whether these representations influence judgments. In the first step, images of the stereotypical faces of a rapist, a thief, and a lifesaver were generated. These images showed a clear distinction between the lifesaver and the two criminal representations, but the criminal representations were rather similar. In the next step, the images were presented together with rape scenarios, and participants (N = 153) indicated the defendant’s level of liability. Participants with high rape myth acceptance scores attributed a lower level of liability to a defendant who resembled a stereotypical lifesaver. However, no specific effects of the image of the stereotypical rapist compared to the stereotypical thief were found. We discuss the findings with respect to the influence of visual stereotypes on legal judgments and the nature of these mental representations.


2019 ◽  
Vol 35 (6) ◽  
pp. 855-867 ◽  
Author(s):  
John T. Kulas ◽  
Rachael Klahr ◽  
Lindsey Knights

Abstract. Many investigators have noted “reverse-coding” method factors when exploring response pattern structure with psychological inventory data. The current article probes for the existence of a confound in these investigations, whereby an item’s level of saturation with socially desirable content tends to covary with the item’s substantive scale keying. We first investigate its existence, demonstrating that 15 of 16 measures that have been previously implicated as exhibiting a reverse-scoring method effect can also be reasonably characterized as exhibiting a scoring key/social desirability confound. A second set of analyses targets the extent to which the confounding variable may confuse interpretation of factor analytic results and documents strong social desirability associations. The results suggest that assessment developers perhaps consider the social desirability scale value of indicators when constructing scale aggregates (and possibly scales when investigating inter-construct associations). Future investigations would ideally disentangle the confound via experimental manipulation.


2014 ◽  
Author(s):  
Kathy Espino-Perez ◽  
Ryan Folliott ◽  
Brandon K. Brown ◽  
Debbie S. Ma

2011 ◽  
Author(s):  
Lieke Curfs ◽  
Rob Holland ◽  
Jose Kerstholt ◽  
Daniel Wigboldus
Keyword(s):  

Author(s):  
Minghui WANG ◽  
Xun HE ◽  
Xin JIN ◽  
Satoshi GOTO
Keyword(s):  

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