scholarly journals Addendum to “Bias and sensitivity in two-interval forced choice procedures: Tests of the difference model” [Vision Res. 48 (2008) 1837–1851]

2012 ◽  
Vol 70 ◽  
pp. 1
Author(s):  
Yaffa Yeshurun ◽  
Marisa Carrasco ◽  
Laurence T. Maloney
Keyword(s):  
Forced Choice ◽  
Difference Model ◽  
Choice Procedures ◽  
The Difference

scholarly journals Bias and sensitivity in two-interval forced choice procedures: Tests of the difference model

2008 ◽  
Vol 48 (17) ◽  
pp. 1837-1851 ◽  
Author(s):  
Yaffa Yeshurun ◽  
Marisa Carrasco ◽  
Laurence T. Maloney
Keyword(s):  
Forced Choice ◽  
Difference Model ◽  
Choice Procedures ◽  
The Difference

Comparison of Pure-Tone Audibility Thresholds Obtained with Audiological and Two-Interval Forced-Choice Procedures

1986 ◽  
Vol 29 (1) ◽  
pp. 82-91 ◽  
Author(s):  
Lynne Marshall ◽  
Walt Jesteadt
Keyword(s):  
Response Bias ◽  
Pure Tone ◽  
Sound Pressure ◽  
Forced Choice ◽  
Adaptive Procedure ◽  
Clinical Procedure ◽  
Clinical Procedures ◽  
Choice Procedures ◽  
Adaptive Thresholds ◽  
The Difference

Audibility thresholds were measured at 500 and 4000 Hz with a standard clinical procedure and a two-interval, forced-choice (2IFC) adaptive procedure for 72 normal-hearing and hearing-impaired listeners, age 17 to 83. Psychometric functions were obtained for clinical, 2IFC, and Yes-No procedures. A measure of response bias was obtained from the Yes-No procedure. The 2IFC adaptive thresholds were 6.5 dB lower than audiological thresholds. The psychometric functions for the forced?choice procedures were generally shallower than those for the clinical procedure and were shifted to lower sound pressure levels. Response bias played a small role at best in accounting for the magnitude of the difference in threshold estimated by the adaptive and clinical procedures or for the differences among the psychometric functions.

The difference model of disability: A change in direction for vocational rehabilitation practice

2020 ◽  
Vol 26 (1) ◽  
pp. 12-17
Author(s):  
Jonathon S. Breen ◽  
Susan Forwell
Keyword(s):  
Vocational Rehabilitation ◽  
Social Forces ◽  
Job Seekers ◽  
Difference Model ◽  
Models Of Disability ◽  
The Social ◽  
Two Factors ◽  
Employment Goals ◽  
The Difference ◽  
The Individual

AbstractVocational rehabilitation provides guidance and support to individuals with disabilities entering the workforce. Employment plans include considerations of goals, the job market, and pre-existing or trainable skills on the part of job seekers. This process also includes an understanding of the social forces that affect employment goals. Current models of disability include the medical, social, and embodiment models. Each is cognitively based and assumes an element of responsibility or blame, that is, respectively, focused on the individual with a disability, the community, or a combination of these two factors. The difference model of disability offers an alternative understanding of disability by providing an affect-based framework that eliminates the premise of blame. This conceptualization of disability provides a new approach to vocational rehabilitation.

scholarly journals The difference model of voting.

1992 ◽  
Vol 33 (4) ◽  
pp. 576-592 ◽  
Author(s):  
Sven Ove Hansson
Keyword(s):  
Difference Model ◽  
The Difference

Optimization and Application of FinishMills Temperature Control in Hot Strip Mill

2013 ◽  
Vol 380-384 ◽  
pp. 4253-4257
Author(s):  
Qiang Guo ◽  
Bo Zhang ◽  
Zhi Ling ◽  
Nan Kai Shentu ◽  
Hui Zhang ◽  
...  
Keyword(s):  
Particle Swarm Optimization ◽  
Real Data ◽  
Measure Data ◽  
Hot Strip Mill ◽  
Two Dimensional ◽  
Difference Model ◽  
Swarm Optimization ◽  
Hot Strip ◽  
The Difference ◽  
Hot Rolled

in this paper, the author used method of Two-dimensional finite difference to establish a model of temperature in hot rolled steels in finishing stands, and used explicit difference method to solve the difference model. The model was optimized by correct parameters through particle swarm optimization combining with measure data. It has been verified that the deviation of the models prediction and real data keeps between ±10°C.

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