Me = Female, Math = Male, therefore Math ≠ Me

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Me = Female, Math = Male, therefore Math ≠ Me Brian A. Nosek Mahzarin R. Banaji Yale University Anthony G. Greenwald University of Washington

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Me = Female, Math = Male, therefore Math ≠ Me. Brian A. Nosek Mahzarin R. Banaji Yale University Anthony G. Greenwald University of Washington. Gender differences in participation in mathematics. As level of education increases female participation in math and science declines. - PowerPoint PPT Presentation

Transcript of Me = Female, Math = Male, therefore Math ≠ Me

Page 1: Me = Female,  Math = Male,  therefore Math ≠ Me

Me = Female, Math = Male,

therefore Math ≠ Me

Brian A. Nosek

Mahzarin R. Banaji

Yale University

Anthony G. Greenwald

University of Washington

Page 2: Me = Female,  Math = Male,  therefore Math ≠ Me

Gender differences in participation in mathematics

As level of education increases female participation in math and science declines

0

20

40

60

80

high school undergraduate graduate work

Percentage of Participants

males females

Page 3: Me = Female,  Math = Male,  therefore Math ≠ Me

Differential gender participation in the

sciences

Percentage of Females

Undergraduate Doctorate Math-intensive Sciences

physical sciences 34 23math/computer sciences 35 16engineering 16 9

Math-nonintensive Sciences psychology 73 61social sciences 48 37biological sciences 49 40

Page 4: Me = Female,  Math = Male,  therefore Math ≠ Me

Gender differences in performance

Hyde et al., 1990 Cohen’s delementary school -.06high school .29college .32

gifted children .41SAT math .40

Feingold, 1988 Males account for as much as 96%of perfect or near perfect SATmath scores

Page 5: Me = Female,  Math = Male,  therefore Math ≠ Me

Explicit vs. Implicit

intentional controlled direct

measurement self-report subject to

presentational biases

unintentional automatic indirect

measurement no self-report

needed not subject to

presentational biases

Explicit Attitudes Implicit Attitudes

Page 6: Me = Female,  Math = Male,  therefore Math ≠ Me

Do females hold more negative attitudes toward mathematics than males at an

implicit level?

Math ArtsAlgebra PoetryEquations LiteratureNewton Shakespeare

Pleasant Unpleasantheaven corpselove torturelaughter despise

Attitudes Toward Mathematics

d = 1.03

-193

-97

-200

-150

-100

-50

0

50

RAI in ms.

Females Males

Page 7: Me = Female,  Math = Male,  therefore Math ≠ Me

Do females hold more negative attitudes toward science than males at an implicit

level?

Science ArtsPhysics PoetryNASA LiteratureEinstein Shakespeare

Pleasant Unpleasantheaven corpselove torturelaughter despise

-210

-102

-250

-200

-150

-100

-50

0

50

RAI in ms.

Females Males

Attitudes Toward Science

d = .94

Page 8: Me = Female,  Math = Male,  therefore Math ≠ Me

Heider’s Balance Theory (1958)Linking Math to the Self

Me

FemaleMath

Me

MaleMath

+

+

+

-

-

+

Females:

Males:

Page 9: Me = Female,  Math = Male,  therefore Math ≠ Me

Are males masculine and females feminine?

I TheyMe ThemMine TheirMyself Theirs

Masculine Femininebrother sisterfather motherhe her

94

-94-100

-50

0

50

100

RAI in ms.

Females Males

Feminine

Masculine

Me

Math Female

+

Me

Math Male

+

Page 10: Me = Female,  Math = Male,  therefore Math ≠ Me

Me

Math Female

+

Me

Math Male

+

-

+

Is mathematics stereotyped as masculine implicitly?

-161 -173-200

-150

-100

-50

0

50

RAI in ms.

Females Males

Math ArtsAlgebra PoetryEquations LiteratureNewton Shakespeare

Masculine Femininebrother sisterfather motherhe her

Page 11: Me = Female,  Math = Male,  therefore Math ≠ Me

Do males identify with math more strongly than females?

d = .59-33

17

-50

0

50

RAI in ms.

Females Males

Math ArtsAlgebra PoetryEquations LiteratureNewton Shakespeare

I TheyMe ThemMine TheirMyself Theirs

Me

Math Female

+

Me

Math Male

+

-

+

-

+

Page 12: Me = Female,  Math = Male,  therefore Math ≠ Me

Correlations with gender identity

Gender Identity

Math Self-ConceptStereotyping Math

-.40**

-.29*

.35*

Females:

Males:Gender Identity

Math Self-ConceptStereotyping Math

.32*

.23

-.05

Page 13: Me = Female,  Math = Male,  therefore Math ≠ Me

Correlations with performance

.01

-.29*

.16

Females:

Males:

.35*

.23

.52***

SAT Performance

Math Self-ConceptStereotyping Math

SAT Performance

Math Self-ConceptStereotyping Math

Page 14: Me = Female,  Math = Male,  therefore Math ≠ Me

Primary findings

Gender differences in orientations toward math measurable outside of conscious control

Implicit findings were consistent with Heider’s balance theory

For females, gender identity related more strongly to implicit beliefs about mathematics

For males, performance related more strongly with implicit beliefs about mathematics