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Principles of exp. design

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Principles of exp. design Control for effects of lurking variables Randomization to keep personal biases or other preferences out of the study – PowerPoint PPT presentation

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Title: Principles of exp. design


1
Principles of exp. design
  • Control for effects of lurking variables
  • Randomization to keep personal biases or other
    preferences out of the study
  • Replication of the experiment reduces chance
    variation

2
Completely randomized design
  • All experimental units are allocated at random
    among all treatments.
  • Ex Clinical trial to test effectiveness of new
    drug vs. current standard for alleviating
    migraine headaches. Test subjects are people
    known to have migraine headaches.

3
More complicated designs
  • In some cases, we can use the idea of
    randomization to develop more complex and more
    efficient designs
  • There are many special cases well touch on
    matched pairs and block designs

4
Matched pairs designs
  • We can sometimes match an experimental unit of
    the control group with one from the treatment
    group (can extend to more groups)
  • Ex Studies with identical twins as volunteers
    can randomly assign one to each treatment (or
    control)

5
Block designs
  • Similar experimental units assigned to same block
  • Blocks differ in ways which may affect experiment
  • Ex In agricultural field trials, each plot of
    similar soil type may form block
  • Random assignment of treatments made within each
    block

6
Probability/inference
Use inference
Population
Sample
Use probability
7
Population vs. sample
  • Population is entire group we want to get
    information about
  • Sample is subset of population that we are able
    to survey or examine
  • Make inference about population by looking only
    at sample
  • Sample design is method used to choose sample

8
Voluntary response sample
  • Data/responses from people who respond to a
    general appeal/request
  • Tends to be biased, because respondents are
    mostly those who have time to respond or are
    motivated by strong opinions
  • Not necessarily indicative of whole population

9
Survey problems
  • Undercoverage some groups in the population are
    left out of the process of choosing the sample.
  • Nonresponse individual chosen for the sample
    cant be contacted or does not cooperate.
  • Response bias behavior of interviewer or
    respondent can influence responses.
  • Wording of questions
  • Desire of respondent to look good

10
Simple random sample
  • Is special case of probability design, which
    gives each individual some chance of being chosen
  • Sample size usually denoted by n
  • Sample chosen from population so that each subset
    of size n has same chance of being selected
  • Since each individual has same chance of being
    chosen, theres no systematic bias

11
Stratified random sample
  • By chance, a simple random sample may not get
    enough people from important groups.
  • Solution take a simple random sample of each
    group (stratum) separately
  • Combine simple random samples to obtain a
    stratified random sample (similar to blocking)

12
Multistage samples
  • Hard to get a simple random sample on a large
    scale (how to choose, how to physically get there
    for interview, etc.)
  • Solution choose sample in stages
  • Randomly choose areas (for instance, counties),
    then further subdivide (townships)
  • Subdivide into neighborhoods or other small areas
  • Take sample of houses in these areas

13
Survey problems
  • Undercoverage some groups in the population are
    left out of the process of choosing the sample.
  • Nonresponse individual chosen for the sample
    cant be contacted or does not cooperate.
  • Response bias behavior of interviewer or
    respondent can influence responses.
  • Desire of respondent to look good
  • Wording of questions

14
Dealing with non-response
  • Persistence
  • If at first you dont succeed
  • Methodology
  • Which methods below do you think will have the
    biggest problem with non-response?
  • Telephone interview
  • Mailings
  • Email survey
  • Face-to-face interview

15
  • Some cell phone users have developed brain
    cancer. Should all cell phones come with a
    warning label explaining the danger of using cell
    phones?

16
  • Do you agree that a national system of health
    insurance should be favored because it would
    provide health insurance for everyone and would
    reduce administrative costs?

17
  • In view of escalating environmental degradation
    and incipient resource depletion, would you favor
    economic incentives for recycling of
    resource-intensive consumer goods?

18
  • Which of the following best represents your
    opinion on gun control?
  • The government should take away our guns.
  • We have the right to keep and bear arms.
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