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highlights differences between genders traditionally academic (male behavior as standard) Differences are biologically based |
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highlights gender similarities typically feminist ex: female user names-more sexually explicit messages |
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Began in 1840's out of abolitionist movements and 2nd movement from civil rights movement |
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"in your face" dramatic, distrust men/government |
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middle class, trying to create change through political channels Discrimination in *Work *Banking *sports education *Language |
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equal rights for Lesbian couples |
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believe m/w different, women should be respected for women way of being |
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don't focus on negative aspects |
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to interpret research from a male view ex: heart disease research |
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biological aspects/social and cultural experiences. |
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Rosenthal effect how much researchers effect their own research |
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how subjects react when they know they are being observed |
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statistical significance-set up to look for differences not similarities ex:mental rotation sub-group of women brought down all women scores. |
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statistical significance more published |
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1. Rarely use single-gender design 2. Question underlying theoretical models 3. Pay attention to interaction b/w experimenter and subject 4. Carefully interpret results |
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Feminist approach to research |
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1. Hypothesis accounts for historical/sociocultural 2. Quantitative and Qualitative 3. safeguard experimenter/observer 4. Generalize only to population studied 5. Analyze for relavence 6. Report non-significant findings 7. Communicate group and individaul averages 8. Don't sensationalize |
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Strength- physical change/boys in more sports/way they are dressed/ women increase in strength faster |
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one measurement in a point of time |
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follow one group through a a length of time Termans Gifted Children Standford Longitudinal study-looked at birth order-can account for as much as gender, no big differences between Parents treating sons/daughters. |
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takes varied findings and consolidate them into one basic idea convert standard deviation units to create a standard score mean1-mean2 ----------- S Deviation Small: d<0.2 85% overlap Medium: d=0.5 67% overlap large: d>=0.8 53% overlap |
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