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The Scientific Method

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Title: The Scientific Method


1
The Scientific Method
  • The Basics
  • Read your text

2
Scientific Method
  • Experimental method generally viewed as best
  • Independent variable-changed to test outcome
  • Dependent var.-what is measured at the end of the
    experiment
  • Should answer why

3
Descriptive Studies
  • Look at what
  • Correlation chief among methods
  • Correlation is not causal
  • Can say that two variables are related

4
Correlational Studies
  • Plus side gathers information without altering
    participants experiences
  • In the natural world
  • Can study things you can not ethically study in
    experiments

5
Correlation coefficient
  • The closer to 1, the more strongly related the
    variables are
  • .73, for example or -.60
  • Negatively correlated also can mean strongly
    correlated, it just describes direction
  • Ex. exercise more you do, less you weigh

6
Some real correlations
  • Schizophrenia smoking are positively (and
    highly) correlated
  • Tattoos self-esteem are negatively correlated
  • Birth order intelligence are negatively
    correlated
  • Left-handedness gayness are positively
    correlated

7
Significant Results
  • Statistical significance-means that the results
    did not occur by chance alone
  • Does not mean that the difference was large or
    important
  • Practical significance-is it important to every
    day life
  • Ex Dumber by the Dozen

8
Gender Bias in Research
  • Why it exists and what to do about it

9
When was the modern scientific method born?
  • Roughly in the Victorian era in Europe
  • Who was doing research? White, middle-class to
    wealthy males
  • So proving women naturally inferior should not be
    a surprise

10
Two incorrect assumptions carried over time
  • 1. If we find a sex difference in some ability
    or kind of behavior, it means that all males do a
    particular thing and all females do something
    quite different.

11
Reality of Sex differences
  • Average score for men is different than the
    average score for women
  • Sex differences then appear to be more extreme
    and dramatic than they really are

12
Look for differences, not similarities
  • If you find a difference, there is little
    argument
  • If you dont, some will say you didnt test
    enough people
  • And perhaps most importantly, you wont get
    published

13
2nd incorrect assumption
  • 2. that sex differences are biologically based
    and, therefore, inevitable and unchangeable.

14
Females barred from Boston Marathon
  • In 1963, women first allowed to run it
  • Time 1 hour and 20 min slower than the mans
    record
  • 1983, Joan Benoit won in 2 hours/22 min/43
    seconds
  • Or 15 minutes slower than the male winner

15
Other ex of mutable biology
  • Menstruation-no surprise to anyone ages at start
    are changing
  • Age at onset earlier, age at cessation later in
    U.S. Europe
  • Nutrition exercise affect it, particularly Body
    fat

16
!Kung women are quite different
  • Start menstruation at about age 18
  • Nurse children, so menstruation does not soon
    return for them (does for U.S. women due to
    nursing technique)
  • Menstruation rare event
  • With no contraception, have only 4-5 children
  • Enter menopause in late 30s/40

17
In our culture cognitive differences thought to
be biological
  • are showing rapid changes
  • E.g. 1947-1983 Differential Aptitude Test (DAT)
  • gender differences in subtests changed
  • declined significantly disappeared in some
    cases

18
Other sources of Bias
  • When differences are expected, then found, the
    research is rarely questioned
  • gtgtwomen are not as smart as men
  • proof womens heads are smaller
  • thus, their brains are smaller
  • proved by Romanes, 1887

19
Ws lesser intelligence was then
  • Considered a survival benefit for the species
  • Women had no intellectual interests to distract
    them from taking care of children

20
People tend to believe research
  • If it confirms something they want to believe
  • If the res is later discredited, most fail to
    hear about it
  • Incorrect facts thus have a life of their own
  • So how many of you believe eggs are a major
    source of cholesterol?

21
Choosing a Problem
  • Societal values influence choice of topic
  • school achievement a major one in U.S. and of
    little concern outside the industrialized world
  • Gender ex heart disease well funded, as are most
    male diseases. Until recently, breast cancer
    wasnt.

22
Then
  • Selecting variables
  • Choosing a design
  • Formulating a hypothesis (posit differences)
  • Collecting data-may define it in such a way that
    measurement will only provide one answer

23
And
  • Analyzing results-allowing personal values to
    guide the choice of which factors to evaluate
  • Interpreting results-making gender differences
    seem large when they are not
  • More importantly, making differences seem
    biological when no bio data collected

24
Example of Bias in Research
  • Particularly the Media reports of it

25
Benbow Stanley 1986
  • Males greater proficiency in math
  • Compared 7th graders scores on SAT
  • Males scored higher
  • Claim hormonal differences lead to males
    greater proficiency
  • thus, biological innate
  • No hormonal measure in study

26
Media Reaction
  • Are Boys Better at Math? (NY Times, 12-07-80).
  • Do Males have a Math Gene? (Newsweek, 12-15-80)
  • The Gender Factor in Math A New Study Says Males
    May Be Naturally Abler than Females (Time,
    12-15-80).

27
Publication bias again
  • Publication of findings showing differences, none
    showing lack of differences

28
Probably even worse when we study deviance
  • Studies of gays/lesbians tend to show how bad
    life will be
  • Trauma of Gay life is what is published
    (newspapers journals)
  • Youth get expectation of poor outcomes
  • See article In the Family, Sp 01 by Russell
    Bohan

29
What can we do to reduce bias?
  • In addition to whats in the book
  • Demand more from research
  • Be a good consumer of research

30
Vampires revisted (1991)
  • LeVay (1991) brain differences in
  • heteros/homosexuals after death
  • Examined 19 brains of homosexual men
  • Examined 16 brains of men he presumed were hetero
  • Examined 6 brains of women he presumed were hetero

31
LaVay continued
  • All of the homosexual men
  • 1 of the women
  • 6 of the presumed hetero men
  • had died of causes related to AIDs
  • Known to cause brain tissue change

32
And concluded
  • That hetero/homosexual men had different
    hypothalmi
  • Published in Science, a respected journal
  • See any problems?
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