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Significance, Importance and Undetected Differences

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Title: Significance, Importance and Undetected Differences


1
Chapter 23
  • Significance, Importance and Undetected
    Differences

2
Thought Questions
1, page 407
Which do you think is more informative when you
give the results of a study, a confidence
interval or a p-value? Explain.
3
Thought Questions
2, page 407
Suppose you were to read that a new study had
found that there was no difference in heart
attack rates for men who exercised regularly and
men who did not. What would you suspect was the
reason for that finding? Do you think the study
found exactly the same rate of heart attacks for
the two groups of men?
4
Thought Questions
3, page 407
An example in Chapter 22 used the results of a
public opinion poll to conclude that a majority
of Americans did not think Bill Clinton had the
honesty and integrity they expected in a
president. Would it be fair reporting to claim
that significantly fewer than 50 of Americans
think Bill Clinton has the honesty and integrity
they expect in a president? Explain.
5
Thought Questions
3, page 407
  • n518
  • 233 think Clinton has the honesty and integrity
    they expect in a president.
  • 95 C.I. 0.406 to 0.494

6
Warnings about Reports on Hypothesis Tests
Significance
  • If the word significant is used to try to
    convince you that there is an important effect or
    relationship, determine if the word is being used
    in the usual sense or in the statistical sense
    only.

7
Case Study Patient Satisfaction
Women Doctors Fare Better in Patient
Surveyreported in Sacramento Bee, April 26,
1995
Bertakis, Klea D., et. al., The influence of
gender on physician practice style, Medical
Care, Vol. 33, No. 4, 1995, pp 407-416.
8
Case Study Patient Satisfaction
  • Alternative (Research) Hypothesis The mean
    satisfaction rating by patients who first saw a
    female physician is different from the mean
    satisfaction rating by patients who first saw a
    male physician.
  • Null Hypothesis There is no difference in the
    mean satisfaction rating by patients who first
    saw a female physician and the mean satisfaction
    rating by patients who first saw a male physician.

9
Case Study Patient Satisfaction
  • The alternative hypothesis is two-sided.
  • Study was double blinded (neither patients nor
    physicians were told the purpose of the survey).
  • Survey was completed by 250 patients at the
    University of California at Davis Medical Center
    who rated medical residents on a scale 1 to 5
    (very dissatisfied to very satisfied).

10
Case Study Patient Satisfaction
  • Bee The female physicians received an average
    score of 4.27. The men -- a respectable, yet
    significantly lower score of 4.05.
  • The average difference was 0.22.
  • Medical Care the difference was small but
    statistically significant (p0.02).
  • Medical Care This difference is both
    statistically and clinically significant.

11
Warnings about Reports on Hypothesis Tests Large
Sample
  • If a study is based on a very large sample size,
    relationships found to be statistically
    significant may not have much practical
    importance.

12
Case Study Drug Use in American High Schools
Alcohol Use
Bogert, Carroll. Good news on drugs from the
inner city, Newsweek, Feb.. 1995, pp 28-29.
13
Case Study Drug Use in American High Schools
  • Alternative Hypothesis The percentage of high
    school students who used alcohol in 1993 is less
    than the percentage who used alcohol in 1992.
  • Null Hypothesis There is no difference in the
    percentage of high school students who used in
    1993 and in 1992.

14
Case Study Drug Use in American High Schools
1993 survey was based on 17,000 seniors, 15,500
10th graders and 18,500 8th graders.
15
Case Study Drug Use in American High Schools
  • The article suggests that the survey reveals
    good news since the differences are all
    negative.
  • The differences are significant.
  • statistically?
  • practically?

16
Warnings about Reports on Hypothesis Tests Small
Sample
  • If you read no difference or no relationship
    has been found in a study, try to determine the
    sample size used. Unless the sample size was
    large, remember that it could be that there is
    indeed an important relationship in the
    population, but that not enough data was
    collected to detect it. In other words, the test
    could have had very low power.

17
Case Study Memory Loss
Memory Loss in American Hearing, American Deaf
and Chinese Adults
Levy, B. and E. Langer. Aging free from negative
stereotypes Successful memory in China and among
the American deaf, Journal of Personality and
Social Psychology, Vol. 66, pp 989-997.
18
Case Study Memory Loss
  • Average Memory Test Scores (higher is better)
  • 30 subjects were sampled from each population

19
Case Study Memory Loss
  • Young Americans (hearing and deaf) have
    significantly higher mean scores.
  • Science News (July 2, 1994, p. 13)
    Surprisingly, ...memory scores for older and
    younger Chinese did not statistically differ.

20
Case Study Memory Loss
  • Since the sample sizes are very small, there is
    an increased chance that the test will result in
    a Type II error if indeed there is a difference
    between young and old subjects mean memory
    scores.
  • The surprising result may just be a Type II
    error.
  • The test could have very low power.

21
Warnings about Reports on Hypothesis Tests 1 or
2 Sided
  • Try to determine whether the test was one-sided
    or two-sided. If a test is one-sided, and
    details arent reported, you could be misled into
    thinking there was no difference, when in fact
    there was one in the direction opposite to that
    hypothesized.

22
Case Study Seen a UFO?
Case Study 23.1 in your text (pp 413-414) Seen
a UFO? You May Be Healthier Than Your Friends
Roper Organization. Unusual Personal Experiences
An Analysis of the Data from Three National
Surveys, Las Vegas Bigelow Holding Corp., 1992.
23
Case Study Seen a UFO?
  • Research Hypothesis (Alternative) People who
    claim to have seen a UFO are on average more
    psychologically disturbed than those who make no
    such claim.
  • Null Hypothesis People who claim to have seen a
    UFO are on average no more or less
    psychologically disturbed than those who make no
    such claim.

24
Case Study Seen a UFO?
  • 49 subjects were recruited through a newspaper.
  • 18 were UFO nonintense
  • 31 were UFO intense
  • 127 control subjects were recruited
  • 74 students of a psychology class (receiving
    credit for participation)
  • 53 community members recruited through a newspaper

25
Case Study Seen a UFO?
  • New York Times (1993) Study Finds No
    Abnormality in Those Reporting UFOs.
  • Results UFO groups actually scored
    significantly better (statistically) on many of
    the psychological measures.
  • The stated one-sided alternative hypothesis was
    not supported. Does this mean the null
    hypothesis is true?

26
Warnings about Reports on Hypothesis Tests Only
Significant are Reported?
  • Sometimes researchers will perform a multitude of
    tests, and the reports will focus on those that
    achieved statistical significance. Remember that
    if nothing interesting is happening and all of
    the null hypotheses tested are true, then about
    1 in 20 .05 tests should achieve
    statistical significance just by chance. Beware
    of reports where it is evident that many tests
    were conducted, but where results of only one or
    two are presented as significant.

27
Case Study Spinach is Good?
Case Study 25.8 in your text (pp 446-448) So You
Thought Spinach Was Good for You?
Norwak, R. Beta-carotene Helpful or harmful?
Science, Vol. 264, April 22, 1994, pp 500-501.
28
Case Study Spinach is Good?
  • Startling finding Supplements of the
    antioxident beta-carotene markedly increased the
    incidence of lung cancer among heavy smokers in
    Finland.
  • This is the result of a large, randomized
    clinical trial 29,000 cases!
  • but read the discussion in the text
  • There were multiple tests conducted.

29
Key Concepts
  • Difference between a statistically significant
    effect and a practically important one.
  • Large samples and statistical significance.
  • Small samples and statistical significance.
  • Multiple tests and statistical significance.
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