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Math is hard! Gender, mathematics, and implicit social cognition Brian Nosek Yale University Collaborators: Mahzarin Banaji and Tony Greenwald

Math is hard! Gender, mathematics, and implicit social cognition Brian Nosek Yale University Collaborators: Mahzarin Banaji and Tony Greenwald

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Page 1: Math is hard! Gender, mathematics, and implicit social cognition Brian Nosek Yale University Collaborators: Mahzarin Banaji and Tony Greenwald

Math is hard! Gender, mathematics, and implicit social cognition

Brian Nosek

Yale University

Collaborators: Mahzarin Banaji and Tony Greenwald

Page 2: Math is hard! Gender, mathematics, and implicit social cognition Brian Nosek Yale University Collaborators: Mahzarin Banaji and Tony Greenwald

Participation in mathematics

0

20

40

60

80

100

High School Undergraduate Graduate Work

Females Males

Page 3: Math is hard! Gender, mathematics, and implicit social cognition Brian Nosek Yale University Collaborators: Mahzarin Banaji and Tony Greenwald

Performance in mathematics

• Gender differences in performance emerge over time (Hyde et al., 1988)

Age Cohen’s delementary -.06high school .29College .32SAT-math .40

Page 4: Math is hard! Gender, mathematics, and implicit social cognition Brian Nosek Yale University Collaborators: Mahzarin Banaji and Tony Greenwald

-1.2

-1

-0.8

-0.6

-0.4

-0.2

0

0.2

0.4

12 15 17 19 21 23 25 27 29 31 35 39 43 47 51 55 59

Exp

licit

Ra

ting

female male

Cross-sectional explicit attitude comparisons - webData

N = 29,514

Page 5: Math is hard! Gender, mathematics, and implicit social cognition Brian Nosek Yale University Collaborators: Mahzarin Banaji and Tony Greenwald

Implicit Attitudes toward Math

RAI = (Math+Unpleasant) – (Math+Pleasant)

Math

Unpleasant

Arts

Pleasant

Math

Pleasant

Arts

Unpleasant

Page 6: Math is hard! Gender, mathematics, and implicit social cognition Brian Nosek Yale University Collaborators: Mahzarin Banaji and Tony Greenwald

-400

-300

-200

-100

0

100

females males

Implicit Attitudes toward Math

d = 1.03

Page 7: Math is hard! Gender, mathematics, and implicit social cognition Brian Nosek Yale University Collaborators: Mahzarin Banaji and Tony Greenwald

-200

-180

-160

-140

-120

-100

-80

-60

-40

-20

0

12 15 17 19 21 23 25 27 29 31 35 39 43 47 51 55 59

Pro

duct

RA

I

female male

Are gender differences in implicit attitudes toward mathematics stable over the lifespan?

Page 8: Math is hard! Gender, mathematics, and implicit social cognition Brian Nosek Yale University Collaborators: Mahzarin Banaji and Tony Greenwald

Adaptation of Heider’s Balance Theory (1958)

Math

Me

Female

+

-

-

Me

Math Male

+

+

+

Females

Males

Page 9: Math is hard! Gender, mathematics, and implicit social cognition Brian Nosek Yale University Collaborators: Mahzarin Banaji and Tony Greenwald

-150

-100

-50

0

50

100

150

200

RA

I in

ms.

females males

Math

Me

Female

Me

Math Male

+Me

Male

Are males masculine and females feminine?

Feminine

Masculine

Me

Female

+

Page 10: Math is hard! Gender, mathematics, and implicit social cognition Brian Nosek Yale University Collaborators: Mahzarin Banaji and Tony Greenwald

Me

Math Male

+

Math Male+

Math

Me

Female

+

Is mathematics masculine?

FemaleMath -

-300

-250

-200

-150

-100

-50

0

females males

Page 11: Math is hard! Gender, mathematics, and implicit social cognition Brian Nosek Yale University Collaborators: Mahzarin Banaji and Tony Greenwald

Me

Math Male

+

+Math

+Me

Math

Me

Female

+

-Math

-Me

Do males identify with math more than females do?

-60

-40

-20

0

20

40

60

females males

Page 12: Math is hard! Gender, mathematics, and implicit social cognition Brian Nosek Yale University Collaborators: Mahzarin Banaji and Tony Greenwald

Implicit measures can predict performance

Relative SAT Performance

Males Females

Explicit Attitudes .40*** .41***

Implicit Attitudes .42*** .24**

Page 13: Math is hard! Gender, mathematics, and implicit social cognition Brian Nosek Yale University Collaborators: Mahzarin Banaji and Tony Greenwald

0

0.1

0.2

0.3

0.4

0.5

0.6

12 15 17 19 21 23 25 27 29 31 35 39 43 47 51 55 59

Pea

rson

's r

N = 26005, Range 429-3211

Correlations between implicit and explicit attitudes toward mathematics

Page 14: Math is hard! Gender, mathematics, and implicit social cognition Brian Nosek Yale University Collaborators: Mahzarin Banaji and Tony Greenwald

Implicit/explicit attitude dissociations

-0.8

-0.6

-0.4

-0.2

0

0.2

0.4

0.6

0.8

1

1.2

nonmathfemales

nonmath males math females math males

RA

I in

std

. uni

ts

Standarized RAI for implicit attitudes toward math

Standardized RAI for explicit attitudes toward math

Page 15: Math is hard! Gender, mathematics, and implicit social cognition Brian Nosek Yale University Collaborators: Mahzarin Banaji and Tony Greenwald

Summary

• Attitude differences are strong and stable

• ‘Balance’ present in implicit orientations toward mathematics

• Implicit and explicit math attitudes are related