![]() Slope, on the other hand, determines how well participants can detect intensity differences between stimuli, and as such can also serve as an (implicit) measure of the reliability of the threshold estimate. While the lapse rate can safely be assumed to be low in taste threshold testing, provided that sufficiently long inter-stimulus intervals are used and participants thoroughly rinse their mouth between trials, FAR may vary between repeated measures despite the instructions. This is imperative because QUEST can only estimate a single parameter, such that, when the threshold is to be estimated, all other parameters defining the psychometric function, such as FAR, slope, and the lapse rate (i.e., the proportion of “no” responses to high-intensity, supra-threshold stimuli) need to be set to a fixed value a priori. In these studies, participants were instructed to be “conservative” in their response behavior, in an attempt to keep false-alarm rates low and constant across sessions. for criticism of this view), the simplicity of the yes–no experiment (see for a systematic review of adaptive procedures) has been a strong motivator to explore the suitability of QUEST in a yes–no design, and it has yielded good performance in the chemosensory domain. Furthermore, we explored the link between taste sensitivity and taste liking or which we found, however, no clear association.Īlthough QUEST was designed for alternative forced-choice tasks, which are commonly thought to control the response criterion (cf. Together the data suggest that participants used a conservative response criterion. Both threshold procedures yielded largely overlapping thresholds with good repeatability between measurements. We used complementary measures of repeatability, namely test–retest correlations and coefficients of repeatability. Here, we compared the performance of QUEST with a method that allows measurement of false-alarm rates and slopes, quick Yes–No (qYN), in a test–retest design for citric acid, sodium chloride, quinine hydrochloride, and sucrose recognition thresholds. This raises the question as to whether a procedure that simultaneously assesses threshold, false-alarm rate, and slope might be able to produce threshold estimates with higher repeatability, i.e., smaller variation between repeated measurements. ![]() Variations of these parameters, however, may also influence the threshold estimate. Despite its advantages, the QUEST procedure lacks experimental control of false alarms (i.e., response bias) and psychometric function slope. We have previously introduced an adaptive, QUEST-based procedure to measure taste sensitivity thresholds that was quicker than other existing approaches, yet similarly reliable. This can, at least in part, be attributed to challenges associated with the handling of liquid, perishable stimuli, but also with scarce efforts to optimize testing procedures to be more time-efficient. And actually there would not even be a need to have the total scores, or data output as decimals so I believe it is something that could potentially be done at the very beginning of the experiment.Taste perception, although vital for nutrient sensing, has long been overlooked in sensory assessments. So, if I modify the conditions file so that the steps are decimals, and some of the step values are positive and some negative, would there be a way to implement a line of code that would then round these values before they are presented on screen. After these values are created they are then rounded to make the whole numbers that are found on the current slider measure. This gives you an output with a step that is actually equal to -8.75, so with decimals the slider would actually present 85-76.250-67.500-and so on. Let us know how you get on.įrom reading about the SVO slider measure being developed, the reason that there are two different step values on the exact same rows of most of the sliders is because the numbers that are the values were created by taking 9 linear spaced numbers between two values, in the example I typed out above this would be 85 and 15. Just to check that it is working properly. Actually, just for debugging purposes, you might want to also insert this line: That $ symbol should have caused a syntax error, though, before the later name error appeared, so I'm a bit unsure what is going on. According to the API, I think you are actually after. I'm not that familiar with the rating scale, so am not sure what its. It shouldn't ever appear within regular Python code itself. ![]() It is just a special prefix symbol used in Builder to indicate that something should be interpreted as a Python expression rather than as literal text. The '$' symbol will cause a problem in regular Python code. The only obvious error I can see is this: You're on exactly the right track, so it must just be something small that is tripping you up.
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