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Class Project

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One will be the Roediger & McDermott (1995) study ... it does not produce differences that could be mistaken for effects of the IV ... – PowerPoint PPT presentation

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Title: Class Project


1
Class Project
  • Emotion vs. No Emotion
  • Auditory vs. Visual
  • Picture vs. Words
  • Persuasion True vs. False Memories

2
Class Project Emotion vs. No Emotion
3
Class Project Auditory vs. Visual
4
Class Project Words vs. Pictures
5
Assignment 4
  • Find 6 empirical journal articles that are
    relevant to our study of false memory
  • One will be the Roediger McDermott (1995) study
  • You need a copy of each article (which you will
    submit with your assignment)
  • No foreign languages or dissertations
  • Only one article may be a review article

6
Assignment 4
  • For each article, write a 2-3 page summary
  • Like a very detailed journal entry
  • Authors
  • Question
  • Method (including the design)
  • Results
  • Implications
  • Include any problems or concerns you have about
    the study, and any new questions that arise as a
    result of your reading
  • Think especially about the implications for our
    understanding of how memory works, and less about
    real world implications

7
Experimental Design
  • Avoiding the Pitfalls

8
Between-Participants
  • The participants in each group are different
  • Advantages
  • Minimizes order effects
  • Minimizes carryover effects
  • Minimizes demand characteristics

9
Between-Participants Advantages
  • Minimizes order effects
  • Practice, fatigue
  • Minimizes carryover effects
  • Participants carry something from one condition
    to another (learning, fatigue, sensitization,
    etc.)
  • Minimizes demand characteristics
  • Information the participant infers about the
    study
  • They know how the instructions vary from one
    condition to another and thus may determine the
    purpose of the investigation

10
Between-Participants Weaknesses
  • Requires more participants
  • Requires more testing time
  • Groups may not be equal
  • Less powerful statistically

11
Between-Participants
  • Random sampling
  • Random assignment
  • Assigning participants randomly to the groups so
    that each person has an equal chance of appearing
    in any group
  • Equalization of groups on individual differences
    (IQ, gender, etc.)
  • How do you do this?

12
Within-Participants
  • The participants are the same in all conditions
  • Each person is exposed to all levels of the IV
  • Advantages
  • Requires less participants and testing time
  • Equivalency of groups is ensured
  • Increases statistical power (more likely to
    detect an effect of the IV)
  • Performance differences across groups is not
    because of error variance due to individual
    differences

13
Within-Participants
  • Weaknesses
  • Demanding on the subjects
  • Fatigue and boredom
  • High probability of order effects
  • High probability of carryover effects
  • High probability of demand characteristics

14
Within-Participants
  • Random sample
  • Breaks between blocks
  • Counterbalancing
  • Systematically varying the order of conditions
    for participants
  • E.g., Half of the participants receive the
    shallow processing condition first, the other
    half receive the deep processing condition first
  • Carryover effects are evenly distributed across
    conditions so that it does not produce
    differences that could be mistaken for effects of
    the IV

15
Statistical Power
  • Type I Error Saying that there is a difference
    between groups when there really is no difference
    (false alarm)
  • Type II Error Saying there is no difference
    between groups when there really is (miss)
  • Statistical Power The ability of the
    statistical test to detect group differences in
    the data
  • To increase power you need to reduce the risk of
    a Type I error

16
Statistical Power
  • How do you reduce the risk of a Type I error?
  • Reduce the alpha level (.05 ? .01)
  • Warning This will reduce your power as a larger
    difference is needed to obtain statistical
    significance
  • Warning This will increase your risk of a Type
    II error
  • How can we reduce the risk of Type I error and
    not increase the risk of Type II error?

17
Statistical Power
  • Use a One-Tailed Test
  • Only if their is reason to believe that one
    sample will perform above or below the mean
  • Increase the number of trials
  • Increase the number of participants
  • Larger samples provide more stable estimates of
    the population means (the sample mean will be
    closer to the population mean with fewer people
    in the tails of the distribution) ? less
    variability

18
Statistical vs. Practical Significance
  • To say results are statically significant
    indicates that the observed differences between
    the means are probably reliable, not the result
    of chance
  • A difference is either reliable or not, if your
    results are significant at the .0001 level, they
    are not any more significant than if they were
    significant at the .05 level
  • This is not to say that statistically significant
    results are important
  • The results were significant, Bayer Aspirin was
    better

19
Preparing Stimuli
  • Previous literature
  • Do not reinvent the wheel
  • Databases
  • Word Stimuli http//www.psy.uwa.edu.au/mrcdatabas
    e/uwa_mrc.htm (search for words of specific
    length, class, frequency, imageability etc.)

20
See you Thursday!
  • Assignment 3B
  • (Due Thursday)
  • NIH Human Subject Tutorial
  • (Due Next Tuesday)
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