Bilington,+Baron-Cohen+and+Wheelwright+-+Period+2

__**Aim**__//**:**// To find the disparities between the number of men and women represented in scientific/technical careers


 * __Year:__** 2007


 * __Participants:__**
 * 415 students
 * Classified as either physical science or humanities
 * 203 Males
 * 212 Females
 * Recruited via email
 * Excluded if they had a psychiatric illness

__**Procedure :**__
 * Completed 2 questionnaires
 * & 2 tasks on a secure university website
 * Questionnaires
 * Scores on SQ-R can range from 0-150
 * Scores on EG can range from 0-80
 * Scores gave the individuals a "brain type"

__**Task:**__
 * Forced choice version of the embedded figures task
 * Selecting one of two answers
 * Participants told they would see a series of 12 pairs of diagrams
 * Eyes test was also given - empathy


 * __Scoring__**:
 * For performance tasks 1 point per correct answer and 1 bonus point if they were in the top 25% fastest time of correct answers

__**Results:**__ >>
 * Sex difference between 2 academic disciplines
 * 59.1% of physical science were male
 * 70.1% of humanities female
 * Overall there is evidence for E > S in female and S > E in males
 * By Degree:
 * 56.3% PS / 29.9% H - Type S
 * 14.2% PS / 41.5% H - Type E
 * Overall evidence for E > S in humanities and S > E in physical sciences

__**Weakness**__
 * Way in which participants were gotten
 * Allowed to leave and come back


 * __Strengths__**
 * Quantitative


 * __Questions:__**
 * What are some of the strengths & weaknesses of the study