Judgemental Sampling
Judgemental Sampling - Related Videos
09:20
Using fMRI to Dissect Moral Judgment
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2023
Source: William Brady & Jay Van Bavel—New York University In examining the roles of reason and emotion in moral judgments, psychologists and philosophers alike point to the trolley dilemma and the footbridge dilemma. With the trolley dilemma, most people say that it is appropriate to pull a switch to stop a train from hitting five people by diverting it to kill one person. However, with the footbridge dilemma, most people say it is inappropriate to push a large man off of a bridge in order...
08:04
Evaluating the Accuracy of Snap Judgments
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2023
Source: Diego Reinero & Jay Van Bavel—New York University Social psychologists have long been interested in the way people form impressions of others. Much of this work has focused on the errors people make in judging others, such as the exaggerated influence of central traits (such as "warm" and "cold"), the insufficient weight given to the context in which others' behavior takes place, and the tendency for people to make judgments that conform to their initial expectations about another.
08:12
A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
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Cited by 3 •
2022
The protocol presents an experimental psychophysics paradigm to obtain large quantities of similarity judgments, and an accompanying analysis workflow. The paradigm probes context effects and enables modeling of similarity data in terms of Euclidean spaces of at least five dimensions.
12:10
Assessment of Mouse Judgment Bias through an Olfactory Digging Task
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2022
This article provides a detailed description of a novel mouse judgment bias protocol. Evidence of this olfactory digging task's sensitivity to affective state is also demonstrated and its utility across diverse research fields is discussed.
07:55
An All-in-one Sample Holder for Macromolecular X-ray Crystallography with Minimal Background Scattering
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Cited by 4 •
2019
A novel sample holder for macromolecular X-ray crystallography along with a suitable handling protocol is presented. The system allows crystal growth, crystal soaking and in situ diffraction data collection at both, ambient and cryogenic temperature without the need of any crystal manipulation or mounting.
FAQs
Selection is guided by features expected to change the chemical information obtained. A sampler may compare composition, physical condition, location, and suspected contamination, then prioritize specimens or sites likely to reveal important variation. This logic is especially useful when the objective is to find unusual phases, trace contaminants, or chemically diverse material rather than estimate an average.
Judgemental sampling can improve investigative efficiency, but its conclusions depend on the sampler’s choices. Because selection is not random, some parts of the population may be overlooked, and the chosen specimens may differ systematically from the rest. Consequently, findings can identify informative chemical conditions or guide further work, but they do not carry the statistical guarantees associated with random sampling.
It is most useful when prior chemical knowledge provides a meaningful basis for deciding where information is likely to be concentrated. Heterogeneous materials, limited access, and suspected contamination create situations in which examining every location or relying on unrestricted random selection may be inefficient. The approach therefore supports focused investigation tied closely to the study objective.
A chemistry workflow starts by stating what the investigation must learn, such as whether composition varies or whether contamination is suspected. The sampler then evaluates relevant features, including material condition and location, and selects specimens judged most informative. Applying the same objective-focused reasoning across available material connects each selected sample with the chemical question, although it does not remove selection bias.
Environmental analysis can use targeted choices to examine locations suspected of containing contaminants or unusual chemical phases. Process monitoring can focus on material whose condition or composition may signal variation, while quality control can direct attention to chemically diverse or atypical material. Across these settings, the method concentrates limited sampling effort on specimens expected to answer a defined chemistry question.
Results should be interpreted as evidence about the selected specimens and the conditions they were chosen to investigate. A detected contaminant or unusual phase may show that a targeted condition exists, but its absence in selected material may not establish absence throughout the broader population. Since the method lacks random-sampling guarantees, broader claims require particular caution.