L12: Single Case Studies Flashcards

0
Q

Single case studies: uses and benefits

A
  • idiographic approach (unique amongst individuals)
  • qualitative and quantitative approaches
  • extreme case sampling (rare cases)
  • sources of ideas for future testing
  • research in therapy: communicating clinical observations
  • falsification (is one case enough?)
  • potentially valuable info can be lost in averaging across groups
  • genuine sources of variation mistaken with ‘random error’
  • mistakes of aggregation
  • each person is a unique case requiring separate explanation
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1
Q

Why do we test groups?

A
  • we want a reliable sample to represent the general case
  • minimize the influence of normal variation/extreme cases
  • external validity & generalization
  • statistical analysis and power
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2
Q

Potential problems with single cases

A
  • anecdotal; non-public observation; reliability, replicability
  • selection bias
  • subjectivity/observer bias
  • internal validity? How ambiguous or unambiguous are claims being made?
  • external validity? Generalisability?
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3
Q

Single cases in neuropsychology

A
  • Identifying neural substrate of a particular brain function through case studies
  • selective cog deficits produced by brain damage may help us to understand the functional architecture of the normal cognitive system
  • single cases particularly suited, can indicate uniquely abnormal cognition
  • brain damage may disrupt cognitive processes in a variety of different ways
  • therefore performance differences within a group of brain damaged subjects cannot be dismissed as ‘noise’
  • averaging over group is inappropriate
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4
Q

What do single case brain damage studies tell us about the normal mind?

A
  • well defined theories place constraints on how processing can break down
  • a theory can be falsified (or require modification) by single case counter-example
  • the way in which a system breaks down can tell you about the way it works normally
  • application: cognitive neural repair
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5
Q

Dissociations

A
  • used to assess neural substrate of functions
  • performance on task 1 impaired but performance on task 2 intact I.e. handled by different cognitive processes
  • possible problem: impairment is apparent only because the task might be tapping more difficult elements of the same functions
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6
Q

Double dissociations

A
  • S: A, performance on task 1 fine, but performance on task 2 impaired
  • S: B, performance on task 1 impaired, but performance on task 2 fine.
  • stronger evidence that there are neural/cognitive processes involved in task 1 that are not involved in task 2 & vice versa
    • I.e. two processes function independently
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7
Q

Use standardized tests & compare case performance to (large-N) normative data to judge performance deficits in single cases

A
  • often not possible
  • interesting phenomena may not be covered by standardized tests
  • new constructs in neuropsych
  • Norms can be difficult to collect
  • convert to Z score: refer to area under normal curve, statistics of control sample treated as pop’n parameter, ok when sample large but typically not
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8
Q

Ignore norms & use intra-individual comparisons to judge performance deficits in single cases

A
  • can be misleading since no normal anchor point
  • single cases appear to have deficits initially but not when compared to normal OR deficits are considered normal until compared to normal
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9
Q

Compare the case’s performance to that of a (moderate-N) matched control sample to judge performance deficits in single cases

A
  • construct ‘designer’ test & access control sample
  • what counts as deficits & normal performance
  • problems of statistical analysis (low-N)
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10
Q

Problems with z score

A
  • Inflated type 1 error rate when z is used with small control samples
  • z assumes large sample sizes
  • solution: modified t-test which pretends that population parameters are in play
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