Chapter 8: Experimental Design simple designs with 2 levels of IV PowerPoint PPT Presentation

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Title: Chapter 8: Experimental Design simple designs with 2 levels of IV


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Chapter 8Experimental Design(simple designs
with 2 levels of IV)
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Heres a possible research question
  • Does crowding affect learning ability?
  • How can we design an experiment to test this once
    we define crowding and learning?
  • Any ideas, folks?

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Heres a possible research question
  • Possibilities
  • 1. Half of people exposed to crowding, half
    exposed to no crowding, then measure differences
  • 2. Same people first exposed to crowding then no
    crowding, then measure differences
  • Other ideas?

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More about our research question
  • Is there a problem if the room is hotter for the
    more crowded situation than the less crowded
    one?
  • Any ideas, folks?
  • How can we CONTROL for these kinds of problems?

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Confounding and Internal Validity
  • Experimental method has advantage of allowing a
    relatively unambiguous interpretation of the
    results.
  • Manipulated independent variable
  • - Create groups (or conditions) that differ in
    levels of IV
  • Compares groups (or conditions) in terms of their
    scores on DV
  • - All other variables kept constant through
    direct experimental control and/or randomization
    of subjects

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Confounding and Internal Validity (cont)
  • An experiment has STRONG internal validity when
    results (differences in dependent variable) can
    confidently be attributed to the effect of the
    independent variable.
  • In other words, little or no possibility
    something ELSE (a CONFOUND) caused the differences

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Basic Experiments
  • Simplest possible experimental design
  • Uses ONE independent variable with only two
    levels (an experimental or treatment group or
    condition and a control or placebo group or
    condition)
  • Uses randomization of assignment of participants
    to groups or conditions
  • Experimental control can be seen by holding
    everything constant EXCEPT for IV manipulation

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Basic Experiments (cont)
  • The basic, simple experimental design with 2
    groups can take one of two forms
  • Posttest-only design
  • 2. Pretest-posttest design

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Basic Experiments (cont)
  • Posttest-only design the manipulation is done to
    the participants (randomly assigned to different
    groups) and then you measure if there are any
    differences between the groups afterwards

R random assignment to conditions
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Basic Experiments (cont)
  • Pretest-posttest design
  • Same as a posttest-only design but adds a pretest
    before the experimental manipulation to the 2
    groups
  • This allows the researcher to tell if the groups
    are equivalent at the beginning of the experiment
  • Whats the problem if they arent?

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Basic Experiments (cont)
  • Advantages and Disadvantages of the two basic
    2-group designs
  • Advantages of the pretest-posttest design
  • You can assess equivalency between the two groups
    before you do manipulation

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Basic Experiments (cont)
  • Disadvantages of the pretest-posttest design
  • Time consuming and awkward to administer
  • Sensitizes participants to what is being
    studied
  • Demand characteristics
  • Possible solutions to control for demand
    characteristics disguise pretest, embed
    the pretest in another measure,
  • concealed observation

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Another TWO names for a 2-group post-test only
design are
  • Independent groups design (aka between-subjects
    design)
  • Just like we already talked about, participants
    are randomly assigned to 2 conditions to make 2
    groups (Half of participants are in one group
    half in the other group)

This is NOT what we did in Stroop study but we
could have
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Can you do a 1-group design? YES!
  • Repeated-measures design (aka within-subjects
    design)
  • The same participants are observed in BOTH
    conditions, one after the other
  • How does this differ from pre-test post-test?

This IS what we did in Stroop study
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Assigning Participants to Experimental
Conditions (cont)
  • Advantages and disadvantages of
    repeated-measures designs
  • Advantages
  • Fewer participants (more economical)
  • Extremely sensitive to statistical differences
  • (more likely to detect an effect of the IV
    on the DV ?this is called POWER)

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Assigning Participants to Experimental
Conditions (cont)
  • Advantages and disadvantages of repeated-measures
    designs
  • Disadvantages
  • Order effects
  • - Practice effects (scores often INCREASE
    with time)
  • - Fatigue effects (scores often DECREASE
    with time)

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Assigning Participants to Experimental
Conditions (cont)
  • How do we CONTROL for possible confound of order
    effects?
  • Counterbalancing techniques
  • Complete counterbalancing all possible orders
    of presentation of conditions are used
  • Latin square used in experiments with many
    conditions (not just 2)
  • Randomized blocks used when conditions are
    repeated many times

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Developmental Research Designs
  • Developmental psychologists often study the ways
    that individuals change as a function of age.
  • 1. Cross-sectional method measured at one
    point in time
  • 2. Longitudinal method same group observed at
    different times as they get older (best internal
    validity)
  • 3. Sequential method combination of 1 2

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Developmental Research Designs (cont)
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Developmental Research Designs (cont)
  • Design considerations
  • Cohort effects possible confound in
    cross-sectional design
  • Mortality effects possible confound in
    longitudinal design
  • Monetary costs longitudinal costs more
  • Difficulty level harder to do longitudinal

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The End
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