Chapter 13 - Simple N Experiments Flashcards

1
Q

what does the N represent?

A

N = sample size

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2
Q

what is the goal in simple N experiments?

A

to show that a phenomenon occurs reliably for an individual, not necessarily the average person (not looking to generalize)

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3
Q

define small N experiments

A
  • each participant is treated separately
  • data for each individual is presented
  • careful designs allow us to compare each person during treatment and control periods
  • often used in therapeutic settings
  • allows us to study unique populations and special cases (Phineas gage)
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4
Q

what are the disadvantages to small N experiments?

A
  • cannot have great external validity, but it often isn’t the main concern either
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5
Q

define stable baseline desings

A
  • record behaviour over a period of time to establish a baseline level
  • then implement intervention and record same behaviour over time to see the change
  • important to compare the treatment to natural behaviours
  • trying to minimize maturation threat
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6
Q

define multiple baseline designs

A
  • stagger the introduction of intervention across variety of contexts, individuals or behaviours
  • attempting to rule out history threat
  • focus on coupling the intervention and observed change
  • can also be the same behaviour across different particpants
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7
Q

define reversal designs

A
  • observe behaviuor, intervene and then take away the intervention
  • fosuing on coupling the intervention and behaviour change, looking at specific linkage between the two
  • can be unethical if the intervention works well for the person
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8
Q

what validities go with small N designs?

A

internal: focus on design features to draw a causal conclusion
external: relation across participants, may not always be important if the goal is to improve a particular participant’s individual behaviour
construct: ensure measures are valid and reliable
statistical: often don’t use traditional statistics, focus more on quality of qualitative data

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