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Discussion#4
   1/31/13
Announcements:

Miss Representation
Movie Night on Thursday Jan 31st at 7pm

Paper#1 due Feb. 7th
1.Sexual Harassment

2.Sex and Sports

3.Effect size + statistical significance

4.Writing Tips
Abigail Saguy
Sex and Harassment Lecture 1/23/13

Main point: Conceptions of and laws against sexual
harassment depend on specific historic and cultural
contexts. By framing sexual harassment as
discriminatory, violence, or bad business practice will
lead to different consequences.
Why did Dr. Saguy compare USA and France?

-Major industrialized democracies
-Mission to advance universal concepts of justice and human rights
-Similar rates of females employment
-Sexual harassment is a problem


What methods did Dr. Saguy use to determine What is Sexual
Harassment?

-Interviews
-News media
-Legal research
Sexual Harassment
         (Top 5 from www.NewsOne.com)
5. Bill O’Reilly

Bill O’Reilly was charged with sexual harassment and sued for $60 million
in 2004 by former producer for The O’Reilly Factor Andrea Mackris.

Mackris would claim that O’Reilly would sexually harass her and make
crude comments about masturbation, threesomes, and Caribbean shower
fantasies.

She would later settle out of court for an undisclosed amount of money.
Sexual Harassment
         (Top 5 from www.NewsOne.com)
4. Bill Clinton

While Bill Clinton was running for president in 1991, Paula Jones, a former
Arkansas state employee claimed that Clinton pulled down his pants and
asked her for oral sex in a hotel room.

Clinton would wind up paying Jones just under one million dollars, despite
never admitting guilt just to keep her quiet.
Sexual Harassment
         (Top 5 from www.NewsOne.com)
3. Mark Foley

Mark Foley was a Republican congressman from Florida who was also the
chairman of the House Caucus on Missing and Exploited Children.

Foley became infamous as the first politician caught up in the Internet era
of sexual harassment scandals. He was caught sending emails to male
congressional pages asking for fellatio and pictures of their penises. He
would also send sexually explicit instant messages to young males.

Foley would later enter rehab and claim that he was molested himself.
Sexual Harassment
         (Top 5 from www.NewsOne.com)
2. Britney Spears

Britney Spears was sued by former bodyguard Fernando Flores for sexual
harassment.

Flores would claim that Spears made unwanted sexual advances to him,
exposed her private parts to him on numerous occasions, and said that
she would abuse her children numerous times.

Spears’ attorney accused the bodyguard of “trying to cash in on Ms.
Spears’ celebrity by making salacious claims of misconduct.”
Sexual Harassment
         (Top 5 from www.NewsOne.com)
1. Clarence Thomas
When Clarence Thomas was nominated to the Supreme Court by former
president George H.W. Bush, old allegations of sexual harassment were
levied upon him from an attorney who worked for him at the Department
Of Education. The woman’s name was Anita Hill.

Hill was called to Senate to testify and said that Thomas made comments
about group sex, rape, bestiality, and bragged about his anatomy and
sexual prowess to her. She also said he once asked, “Who put a pubic hair
on my Coke?”

Thomas was later confirmed despite Hill’s testimony.
Clarence Thomas + Anita Hill: Sexual Harassment Trial
PBS:
http://www.youtube.com/watch?feature=player_emb
edded&v=1lEEDD2vxaE#!

Sex and Justice:
http:://www.anitahill20.org/

We still believe Anita Hill:
http://www.youtube.com/watch?v=w3_4hp_XYxI

Daily Show: Women in Combat
http://www.thedailyshow.com/watch/mon-january-
28-2013/women-s-war-daily---military-brohesion
How is sexual harassment represented in the
media? In what ways does the media
downplay the seriousness of sexual
harassment? In what ways does the media
represent is as serious?
Saguy argues that the American mass media is
controlled by business and dependent on
advertisement revienues and are under pressure to
write stories that “sell” (Introduction, 11).

Why are sexual harassment scandals such a hot
commodity? Can you think of any particularly
egregious examples, either from the text or from
your own experiences of watching the news?
Saguy suggests that both the French and the
American feminists who worked to publicize and
discourage the practice of sexual harassment in law
and practice were limited by their “distinct political,
legal, and cultural, constraints and resources.”

What factors influenced these differing terrains?
What are the three “frames” for regulating sexual
harassment articulated by Saguy? How did each come
about? What are the advantages of each? What are the
disadvantages?

For example, Saguy suggests that American law
conceptualizes sexual harassment as “group-based”
disadvantage and French law as a form of “interpersonal
violence” what are the broad ramifications of each? How
have corporations been influenced by law and national
cultural context?
Saguy argues:“The formulation of sexual harassment as a
concept and a body of law at all, as well as the particular way it
is conceptualized, has important implications for gender
equality, for expectations and behaviors linked to sexuality, and
for what sort of social interactions are considered appropriate
or desirable in the workplace in particular and in other public
and private spheres more generally.” (Introduction, 4).

According to each frame, what behaviors are considered
appropriate or desirable in the workplace? Which types of
behaviors are considered inappropriate? Which are considered
inappropriate yet tolerated?
How has American sexual harassment law enabled
women to come forward with complaints of sexual
harassment? What barriers persist?
Women’s Sexual Harassment of Men:
The law proscribes gender-based sexual harassment, are men subject to
sexual harassment? How is it similar and how is it different?

How do gender roles influence men’s ability to “speak out” against sexual
harassment?

Does women’s lack of institutional power (gender-based occupational
segregation, “the glass ceiling,” “the glass elevator”) influence the power
landscapes that color sexual harassment practices and policies?

How do we understand gender equality as it pertains to the rights of men
to be free from sexual harassment?
Eric Villaine
Athletes’ Bodies, Sexed Bodies 1/29/13

Main point: From the beginning of the 20th century to
today, sex testing has been a controversial aspect for
elite female athletes. However, DSDs athletes don’t
have a competitive advantage compared to athletes
with favorable genetics.
Starting with Dr. Villain’s FINAL THOUGHTS
- Sports rules are arbitrary
- No competitive advantage between DSD athletes and athletes with favorable genetics
- Gender challenges are undesirable
- Biological parameters of sex are imperfect
- Privacy



Which if any of these points are you going to address in your
IOC paper? How and why?
What are the 3 relevant DSDs when considering
androgen advantage in sports?

Are transgender people allowed to participate in elite
athletics?

What are 3 pieces of evidence that support the idea that
intersexuality provides an athletic advantage?
M. Haselton REVIEW (what she wants you to know)


Evolutionary Record:
Decreasing sexual dimorphism in human lineage

Persistent asymmetries:
Size, parental investment, aggression

Effect Size….
Effect Size & Statistical Significance
Are men’s heights different from women’s heights?


                                Women’s mean             Men’s mean

                                                                           = women
                                                                           = men
Number of People




                     52” 54” 56” 58” 60” 62” 64” 66” 68” 70” 72” 74” 76” 78” 80”

                                             Height
                                                                               Graph 2
Statistical significance: the probability of having
observed as large of a difference as the one you
observed if only chance were at work.

If the chances of observing a difference by chance alone is less
than 5% (denoted as p < 0.05), then we can conclude that
probably more than just chance was at work . Depends on
sample size.
Are men’s heights different from women’s heights?
                                 How big is this effect?

                                Women’s mean             Men’s mean

                                                                           = women
                                                                           = men
Number of People




                     52” 54” 56” 58” 60” 62” 64” 66” 68” 70” 72” 74” 76” 78” 80”

                                             Height
                                                                               Graph 2
Histogram: illustrates population distributions
Number of People




                                                                          = 1 man




                    52” 54” 56” 58” 60” 62” 64” 66” 68” 70” 72” 74” 76” 78” 80”

                                            Height
Histogram: illustrates population distributions
Number of People




                                                                          = 1 man

                                                                          = men




                    52” 54” 56” 58” 60” 62” 64” 66” 68” 70” 72” 74” 76” 78” 80”

                                            Height
Histogram: illustrates population distributions


                                                                          = 1 woman

                                                                          = women
Number of People




                                                                          = 1 man

                                                                          = men




                    52” 54” 56” 58” 60” 62” 64” 66” 68” 70” 72” 74” 76” 78” 80”

                                            Height
How big the effect of sex is on height
                   depends on height variation within sexes.

                                                                         = women
                                                                         = men
Number of People




                   52” 54” 56” 58” 60” 62” 64” 66” 68” 70” 72” 74” 76” 78” 80”

                                           Height
Measure of variation….

• Standard deviation (SD): = average amount by
  which an individual is different from his or her
  group mean

• sometimes written as σ (pronounced “sigma”)
Computing Standard Deviation
Population


Mean (average)


(Difference of each point from mean)^2




Square-root(variance)
Mean + SD
• “Normal distribution”/bell-shaped curve: standard deviation
  tell us what percentage of people will be at a certain level of a
  trait

• E.g., if women’s mean height is 63” and σ = 3” Then we can
  assume that about 68% of women will be within one standard
  deviation above or below the mean (i.e. between 60-66”)
Effect size

• Effect size: the degree of non-overlap between two
  groups’ distributions on some variable (e.g., a trait like
  height)

       Effect size (d) = MeanGroup1 – MeanGroup2
                                 σ

• Unlike a difference between means, an effect size takes
  into account the amount of variation within each group
Graph 1
                              Women’s mean             Men’s mean

                                                                         = women
                                                                         = men
Number of People




                   52” 54” 56” 58” 60” 62” 64” 66” 68” 70” 72” 74” 76” 78” 80”

                                           Height
Graph 2
                              Women’s mean             Men’s mean

                                                                         = women
                                                                         = men
Number of People




                   52” 54” 56” 58” 60” 62” 64” 66” 68” 70” 72” 74” 76” 78” 80”

                                           Height
Graph 1+2
                              Women’s mean             Men’s mean

                                                                         = women
                                                                         = men
Number of People




                   52” 54” 56” 58” 60” 62” 64” 66” 68” 70” 72” 74” 76” 78” 80”

                                           Height
Where is the effect of sex larger— graph 1 or 2?


• The difference in means is exactly the same

• Variation within each group’s distribution differs—
  and, therefore, the amount of distribution’s non-
  overlap

• Effect of sex is MUCH larger in graph 2, but we would
  never know if all we looked at were the means!
Effect size
• Less overlap  Larger effect size

• More overlap  Smaller effect size

• All else equal, HOW does increasing the difference between
  means change effect size?

• All else equal, how does increasing the variation within
  groups change effect size?
Effect size (d)   Percent Non-overlap

% of non-overlap for effect          0.0               0%

  sizes ranging from 0.0 to 2.0      0.1
                                     0.2
                                                       7.7%
                                                       14.7%
                                     0.3               21.3%
                                     0.4               27.4%
                                     0.5               33.0%
                                     0.6               38.2%
                                     0.7               43.0%
                                     0.8               47.4%
    Most psychological sex-
                                     0.9               51.6%
    differences d < 1.0
                                     1.0               55.4%
    But even when d = 1.0
                                     1.1               58.9%
    44.6% of men’s and women’s
                                     1.2               62.2%
    distributions overlap
                                     1.3               65.3%

    Take-home: even when a sex-      1.4               68.1%

    difference is present, women     1.5               70.7%

    and men are very similar—often   1.6               73.1%

    much more similar than they      1.7               75.4%
    are different.                   1.8               77.4%
                                     1.9               79.4%
                                     2.0               81.1%
Effect size vs. statistical significance
• Larger difference is more likely to be statistically
  significant.

• BUT statistical significance also depends on sample
  size (how many people you collected data from).

• In a large sample of participants, a very small
  difference will often be statistically significant.

• In a small sample of participants, a very large
  difference will often be statistically non-significant.
• In psychology, effect sizes are interpreted
  as follows:

  0.2 = a small effect (15% non-overlap)
  0.5 = a medium effect (33% non-overlap)
  0.8+ = a large effect (47% non-overlap)
Writing Tips:

http://www.youtube.com/watch?v=liyFKUFCQno
Writing an Opinion Essay
Rhetoric – The Art of Persuasion

Ethos: writer’s voice (must be informed).

Logos: logical content of the argument and
logical conclusions.

Pathos: anticipated emotional reaction of
audience to content.
The Opinion Essay
• The topic is subject to controversy
• Expresses a compelling opinion that cannot necessarily be
  proven to be true

• Purpose: to convince our reader that our point of view is
  correct.

• Presents author’s point of view supported by reasons and
  examples.

• The opposing viewpoint is also suggested, it goes with
  arguments that show that it is unconvincing.
You May Use the Following
      Expressions to Give Your Opinion
•   As far as I am concerned, …
•   I am (not) convinced that …
•   In my opinion/view …
•   My opinion is that …
•   I (firmly)believe …
•   I (definitely) feel/think that …
•   I am inclined to believe that …
•   I was interested/surprised/shocked to find out that…
•   As I see it…
•   It seems to me…
Opinion Essay
• Introductory paragraph with thesis
   – Introduce the topic, the controversy
   – Your clear opinion IS the thesis statement


• Body with supporting arguments
   –   Give reasoned arguments to support your opinion.
   –   Each argument forms a separate paragraph.
   –   Add details, facts and examples to support your arguments
   –   Present opposing view-points and refute


• Conclusion
   – The main points of the essay are summarized and the author’s opinion
     is restated in other words.
   – May offer a solution or provides a warning of what will happen if your
     advice is not heeded
Additional Resources
• http://www.slideshare.net/alexandraalvarez/how-to-
  write-an-opinion-essay

• http://homeworktips.about.com/od/essaywriting/a/
  opinion.htm

• http://academicwriting.wikidot.com/opinion-essays

• http://www.ehow.com/how_5619030_write-
  opinion-essay.html

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Discussion4 013113

  • 2. Announcements: Miss Representation Movie Night on Thursday Jan 31st at 7pm Paper#1 due Feb. 7th
  • 3. 1.Sexual Harassment 2.Sex and Sports 3.Effect size + statistical significance 4.Writing Tips
  • 4. Abigail Saguy Sex and Harassment Lecture 1/23/13 Main point: Conceptions of and laws against sexual harassment depend on specific historic and cultural contexts. By framing sexual harassment as discriminatory, violence, or bad business practice will lead to different consequences.
  • 5. Why did Dr. Saguy compare USA and France? -Major industrialized democracies -Mission to advance universal concepts of justice and human rights -Similar rates of females employment -Sexual harassment is a problem What methods did Dr. Saguy use to determine What is Sexual Harassment? -Interviews -News media -Legal research
  • 6. Sexual Harassment (Top 5 from www.NewsOne.com) 5. Bill O’Reilly Bill O’Reilly was charged with sexual harassment and sued for $60 million in 2004 by former producer for The O’Reilly Factor Andrea Mackris. Mackris would claim that O’Reilly would sexually harass her and make crude comments about masturbation, threesomes, and Caribbean shower fantasies. She would later settle out of court for an undisclosed amount of money.
  • 7. Sexual Harassment (Top 5 from www.NewsOne.com) 4. Bill Clinton While Bill Clinton was running for president in 1991, Paula Jones, a former Arkansas state employee claimed that Clinton pulled down his pants and asked her for oral sex in a hotel room. Clinton would wind up paying Jones just under one million dollars, despite never admitting guilt just to keep her quiet.
  • 8. Sexual Harassment (Top 5 from www.NewsOne.com) 3. Mark Foley Mark Foley was a Republican congressman from Florida who was also the chairman of the House Caucus on Missing and Exploited Children. Foley became infamous as the first politician caught up in the Internet era of sexual harassment scandals. He was caught sending emails to male congressional pages asking for fellatio and pictures of their penises. He would also send sexually explicit instant messages to young males. Foley would later enter rehab and claim that he was molested himself.
  • 9. Sexual Harassment (Top 5 from www.NewsOne.com) 2. Britney Spears Britney Spears was sued by former bodyguard Fernando Flores for sexual harassment. Flores would claim that Spears made unwanted sexual advances to him, exposed her private parts to him on numerous occasions, and said that she would abuse her children numerous times. Spears’ attorney accused the bodyguard of “trying to cash in on Ms. Spears’ celebrity by making salacious claims of misconduct.”
  • 10. Sexual Harassment (Top 5 from www.NewsOne.com) 1. Clarence Thomas When Clarence Thomas was nominated to the Supreme Court by former president George H.W. Bush, old allegations of sexual harassment were levied upon him from an attorney who worked for him at the Department Of Education. The woman’s name was Anita Hill. Hill was called to Senate to testify and said that Thomas made comments about group sex, rape, bestiality, and bragged about his anatomy and sexual prowess to her. She also said he once asked, “Who put a pubic hair on my Coke?” Thomas was later confirmed despite Hill’s testimony.
  • 11. Clarence Thomas + Anita Hill: Sexual Harassment Trial PBS: http://www.youtube.com/watch?feature=player_emb edded&v=1lEEDD2vxaE#! Sex and Justice: http:://www.anitahill20.org/ We still believe Anita Hill: http://www.youtube.com/watch?v=w3_4hp_XYxI Daily Show: Women in Combat http://www.thedailyshow.com/watch/mon-january- 28-2013/women-s-war-daily---military-brohesion
  • 12. How is sexual harassment represented in the media? In what ways does the media downplay the seriousness of sexual harassment? In what ways does the media represent is as serious?
  • 13. Saguy argues that the American mass media is controlled by business and dependent on advertisement revienues and are under pressure to write stories that “sell” (Introduction, 11). Why are sexual harassment scandals such a hot commodity? Can you think of any particularly egregious examples, either from the text or from your own experiences of watching the news?
  • 14. Saguy suggests that both the French and the American feminists who worked to publicize and discourage the practice of sexual harassment in law and practice were limited by their “distinct political, legal, and cultural, constraints and resources.” What factors influenced these differing terrains?
  • 15. What are the three “frames” for regulating sexual harassment articulated by Saguy? How did each come about? What are the advantages of each? What are the disadvantages? For example, Saguy suggests that American law conceptualizes sexual harassment as “group-based” disadvantage and French law as a form of “interpersonal violence” what are the broad ramifications of each? How have corporations been influenced by law and national cultural context?
  • 16. Saguy argues:“The formulation of sexual harassment as a concept and a body of law at all, as well as the particular way it is conceptualized, has important implications for gender equality, for expectations and behaviors linked to sexuality, and for what sort of social interactions are considered appropriate or desirable in the workplace in particular and in other public and private spheres more generally.” (Introduction, 4). According to each frame, what behaviors are considered appropriate or desirable in the workplace? Which types of behaviors are considered inappropriate? Which are considered inappropriate yet tolerated?
  • 17. How has American sexual harassment law enabled women to come forward with complaints of sexual harassment? What barriers persist?
  • 18. Women’s Sexual Harassment of Men: The law proscribes gender-based sexual harassment, are men subject to sexual harassment? How is it similar and how is it different? How do gender roles influence men’s ability to “speak out” against sexual harassment? Does women’s lack of institutional power (gender-based occupational segregation, “the glass ceiling,” “the glass elevator”) influence the power landscapes that color sexual harassment practices and policies? How do we understand gender equality as it pertains to the rights of men to be free from sexual harassment?
  • 19. Eric Villaine Athletes’ Bodies, Sexed Bodies 1/29/13 Main point: From the beginning of the 20th century to today, sex testing has been a controversial aspect for elite female athletes. However, DSDs athletes don’t have a competitive advantage compared to athletes with favorable genetics.
  • 20. Starting with Dr. Villain’s FINAL THOUGHTS - Sports rules are arbitrary - No competitive advantage between DSD athletes and athletes with favorable genetics - Gender challenges are undesirable - Biological parameters of sex are imperfect - Privacy Which if any of these points are you going to address in your IOC paper? How and why?
  • 21. What are the 3 relevant DSDs when considering androgen advantage in sports? Are transgender people allowed to participate in elite athletics? What are 3 pieces of evidence that support the idea that intersexuality provides an athletic advantage?
  • 22. M. Haselton REVIEW (what she wants you to know) Evolutionary Record: Decreasing sexual dimorphism in human lineage Persistent asymmetries: Size, parental investment, aggression Effect Size….
  • 23. Effect Size & Statistical Significance
  • 24. Are men’s heights different from women’s heights? Women’s mean Men’s mean = women = men Number of People 52” 54” 56” 58” 60” 62” 64” 66” 68” 70” 72” 74” 76” 78” 80” Height Graph 2
  • 25. Statistical significance: the probability of having observed as large of a difference as the one you observed if only chance were at work. If the chances of observing a difference by chance alone is less than 5% (denoted as p < 0.05), then we can conclude that probably more than just chance was at work . Depends on sample size.
  • 26. Are men’s heights different from women’s heights? How big is this effect? Women’s mean Men’s mean = women = men Number of People 52” 54” 56” 58” 60” 62” 64” 66” 68” 70” 72” 74” 76” 78” 80” Height Graph 2
  • 27. Histogram: illustrates population distributions Number of People = 1 man 52” 54” 56” 58” 60” 62” 64” 66” 68” 70” 72” 74” 76” 78” 80” Height
  • 28. Histogram: illustrates population distributions Number of People = 1 man = men 52” 54” 56” 58” 60” 62” 64” 66” 68” 70” 72” 74” 76” 78” 80” Height
  • 29. Histogram: illustrates population distributions = 1 woman = women Number of People = 1 man = men 52” 54” 56” 58” 60” 62” 64” 66” 68” 70” 72” 74” 76” 78” 80” Height
  • 30. How big the effect of sex is on height depends on height variation within sexes. = women = men Number of People 52” 54” 56” 58” 60” 62” 64” 66” 68” 70” 72” 74” 76” 78” 80” Height
  • 31. Measure of variation…. • Standard deviation (SD): = average amount by which an individual is different from his or her group mean • sometimes written as σ (pronounced “sigma”)
  • 32. Computing Standard Deviation Population Mean (average) (Difference of each point from mean)^2 Square-root(variance)
  • 33. Mean + SD • “Normal distribution”/bell-shaped curve: standard deviation tell us what percentage of people will be at a certain level of a trait • E.g., if women’s mean height is 63” and σ = 3” Then we can assume that about 68% of women will be within one standard deviation above or below the mean (i.e. between 60-66”)
  • 34. Effect size • Effect size: the degree of non-overlap between two groups’ distributions on some variable (e.g., a trait like height) Effect size (d) = MeanGroup1 – MeanGroup2 σ • Unlike a difference between means, an effect size takes into account the amount of variation within each group
  • 35. Graph 1 Women’s mean Men’s mean = women = men Number of People 52” 54” 56” 58” 60” 62” 64” 66” 68” 70” 72” 74” 76” 78” 80” Height
  • 36. Graph 2 Women’s mean Men’s mean = women = men Number of People 52” 54” 56” 58” 60” 62” 64” 66” 68” 70” 72” 74” 76” 78” 80” Height
  • 37. Graph 1+2 Women’s mean Men’s mean = women = men Number of People 52” 54” 56” 58” 60” 62” 64” 66” 68” 70” 72” 74” 76” 78” 80” Height
  • 38. Where is the effect of sex larger— graph 1 or 2? • The difference in means is exactly the same • Variation within each group’s distribution differs— and, therefore, the amount of distribution’s non- overlap • Effect of sex is MUCH larger in graph 2, but we would never know if all we looked at were the means!
  • 39. Effect size • Less overlap  Larger effect size • More overlap  Smaller effect size • All else equal, HOW does increasing the difference between means change effect size? • All else equal, how does increasing the variation within groups change effect size?
  • 40. Effect size (d) Percent Non-overlap % of non-overlap for effect 0.0 0% sizes ranging from 0.0 to 2.0 0.1 0.2 7.7% 14.7% 0.3 21.3% 0.4 27.4% 0.5 33.0% 0.6 38.2% 0.7 43.0% 0.8 47.4% Most psychological sex- 0.9 51.6% differences d < 1.0 1.0 55.4% But even when d = 1.0 1.1 58.9% 44.6% of men’s and women’s 1.2 62.2% distributions overlap 1.3 65.3% Take-home: even when a sex- 1.4 68.1% difference is present, women 1.5 70.7% and men are very similar—often 1.6 73.1% much more similar than they 1.7 75.4% are different. 1.8 77.4% 1.9 79.4% 2.0 81.1%
  • 41. Effect size vs. statistical significance • Larger difference is more likely to be statistically significant. • BUT statistical significance also depends on sample size (how many people you collected data from). • In a large sample of participants, a very small difference will often be statistically significant. • In a small sample of participants, a very large difference will often be statistically non-significant.
  • 42. • In psychology, effect sizes are interpreted as follows: 0.2 = a small effect (15% non-overlap) 0.5 = a medium effect (33% non-overlap) 0.8+ = a large effect (47% non-overlap)
  • 44. Writing an Opinion Essay Rhetoric – The Art of Persuasion Ethos: writer’s voice (must be informed). Logos: logical content of the argument and logical conclusions. Pathos: anticipated emotional reaction of audience to content.
  • 45. The Opinion Essay • The topic is subject to controversy • Expresses a compelling opinion that cannot necessarily be proven to be true • Purpose: to convince our reader that our point of view is correct. • Presents author’s point of view supported by reasons and examples. • The opposing viewpoint is also suggested, it goes with arguments that show that it is unconvincing.
  • 46. You May Use the Following Expressions to Give Your Opinion • As far as I am concerned, … • I am (not) convinced that … • In my opinion/view … • My opinion is that … • I (firmly)believe … • I (definitely) feel/think that … • I am inclined to believe that … • I was interested/surprised/shocked to find out that… • As I see it… • It seems to me…
  • 47. Opinion Essay • Introductory paragraph with thesis – Introduce the topic, the controversy – Your clear opinion IS the thesis statement • Body with supporting arguments – Give reasoned arguments to support your opinion. – Each argument forms a separate paragraph. – Add details, facts and examples to support your arguments – Present opposing view-points and refute • Conclusion – The main points of the essay are summarized and the author’s opinion is restated in other words. – May offer a solution or provides a warning of what will happen if your advice is not heeded
  • 48. Additional Resources • http://www.slideshare.net/alexandraalvarez/how-to- write-an-opinion-essay • http://homeworktips.about.com/od/essaywriting/a/ opinion.htm • http://academicwriting.wikidot.com/opinion-essays • http://www.ehow.com/how_5619030_write- opinion-essay.html

Hinweis der Redaktion

  1. Difference amongst differences. Sex-differences in height have been compared to the sex-difference in aggression several times in lecture and readings. Height is a metric and aggression uses behavioral observations/reports. The next several slides clarify how differences in means are normalized based on population’s standard deviation from means in order to determine effect size. Effect sizes can then be compared between measures.
  2. Need to examine variation of height
  3. Need to examine variation of height
  4. Population distribution
  5. So, how can we measure variation within the groups?
  6. Consider a population consisting of the following eight values:These eight data points have the mean (average) of 5:To calculate the population standard deviation, first compute the difference of each data point from the mean, and square the result of each:Next, compute the average of these values, and take the square root:This quantity is the population standard deviation; it is equal to the square root of the varianceWhen comparing two groups with differed SD’s, standard deviation is the “pooled” (average) standard deviation across the two groups
  7. Graphical comparison of distribution
  8. Where is the effect of sex larger—graph 1 or 2?
  9. Why is your point of view relevant?