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The theoretical basis for judgement analysis is the Lens Model proposed by Brunswik [ 1] and developed by Hammond et al. [ 2- 4].
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The relationship between nurses' judgements, actual patient outcomes (i.e. ecological criteria), and patient characteristics were described using the methodology of judgement analysis.
A useful approach for studying clinicians' strategies is judgement analysis [ 14], which describes the cognitive process involved in making a decision.
Lens Model statistics could prove useful when comparing different options for the design of simulations used in clinical judgement analysis.
Cooksey [ 26] recommends a ratio of 5 to 10 scenarios per cue in judgement analysis as a desirable basis for sample size estimation.
The use of more perceptually realistic clinical settings (e.g., physical simulations) for assessing nurses' judgement competency merits scrutiny in future judgement analysis research.
Judgement analysis is a powerful decompositional tool but using it requires the researcher to overcome a significant methodological challenge: its generalisability depends on how well the tasks used as the basis for modeling a person's judgement represent the conditions in which such judgements are usually made [ 7- 9].
This study addressed an important methodological question: whether clinician judgements of paper cases, as conventionally employed in judgement analysis research, can be generalized to judgements in clinical situations.
Further, the previous judgement analysis studies primarily focused on whether participants gave the same judgements on paper cases and actual practice, thus focusing on only the judgement model.
Judgement analysis (JA) has a long history as a means of examining the judgement strategies and performance of clinicians.
In this paper we expand on an earlier social judgement analysis [ 21].
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