Relevant bibliographies by topics / Psychometric function slope

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  2. Dissertations / Theses

Academic literature on the topic 'Psychometric function slope'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Psychometric function slope"

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Gilchrist, James M., David Jerwood, and H. Sam Ismaiel. "Comparing and unifying slope estimates across psychometric function models." Perception & Psychophysics 67, no. 7 (October 2005): 1289–303. http://dx.doi.org/10.3758/bf03193560.

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Strasburger, Hans. "Converting between measures of slope of the psychometric function." Perception & Psychophysics 63, no. 8 (November 2001): 1348–55. http://dx.doi.org/10.3758/bf03194547.

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3

Turpin, Andrew, Darko Jankovic, and Allison McKendrick. "Identifying steep psychometric function slope quickly in clinical applications." Vision Research 50, no. 23 (November 2010): 2476–85. http://dx.doi.org/10.1016/j.visres.2010.08.032.

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Maloney, Laurence T. "The slope of the psychometric function at different wavelengths." Vision Research 30, no. 1 (January 1990): 129–36. http://dx.doi.org/10.1016/0042-6989(90)90132-5.

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Allen, Prudence, and Frederic Wightman. "Psychometric Functions for Children’s Detection of Tones in Noise." Journal of Speech, Language, and Hearing Research 37, no. 1 (February 1994): 205–15. http://dx.doi.org/10.1044/jshr.3701.205.

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This article reports the results of an experiment that used a two-alternative forced-choice task to measure the ability of 3- to 5-year-old children to detect 501 Hz, 1000 Hz, and 2818 Hz sinusoids in noise. Psychometric functions were fit to each individual’s data, and thresholds (signal level required for 75% correct) were interpolated from the fitted functions. Results showed that, on average, the children’s thresholds were higher and the slopes of their psychometric functions were shallower than those of the adults. However, the between-subjects variability in the children’s data was large, and the performance of many individual children was not well described by group mean performance. One-third of the children produced thresholds that were elevated by an average of 10 dB but psychometric function slopes that were adult-like. Another one-third of the children produced thresholds that were elevated relative to those of the adults by an average of 20 dB and psychometric function slopes that were very shallow. The data from a smaller group of children showed large variability in psychometric function slope and threshold, and for a very few children performance was at chance regardless of the signal level. A replication of the study several months later showed that for most listeners the individual patterns of performance persisted over time.
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Gold, Joshua I., Chi-Tat Law, Patrick Connolly, and Sharath Bennur. "Relationships Between the Threshold and Slope of Psychometric and Neurometric Functions During Perceptual Learning: Implications for Neuronal Pooling." Journal of Neurophysiology 103, no. 1 (January 2010): 140–54. http://dx.doi.org/10.1152/jn.00744.2009.

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Perceptual learning involves long-lasting improvements in the ability to perceive simple sensory stimuli. Some forms of perceptual learning are thought to involve an increasingly selective readout of sensory neurons that are most sensitive to the trained stimulus. Here we report novel changes in the relationship between the threshold and slope of the psychometric function during learning that are consistent with such changes in readout and can provide insights into the underlying neural mechanisms. In monkeys trained on a direction-discrimination task, perceptual improvements corresponded to lower psychometric thresholds and slightly shallower slopes. However, this relationship between threshold and slope was much weaker in comparable, ideal-observer “neurometric” functions of neurons in the middle temporal (MT) area, which represent sensory information used to perform the task and whose response properties did not change with training. We propose a linear/nonlinear pooling scheme to account for these results. According to this scheme, MT responses are pooled via linear weights that change with training to more selectively read out responses from the most sensitive neurons, thereby reducing predicted thresholds. An additional nonlinear (power-law) transformation does not change with training and causes the predicted psychometric function to become shallower as uninformative neurons are eliminated from the pooled signal. We show that this scheme is consistent with the measured changes in psychometric threshold and slope throughout training. The results suggest that some forms of perceptual learning involve improvements in a process akin to selective attention that pools the most informative neural signals to guide behavior.
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Kontsevich, Leonid L., and Christopher W. Tyler. "Distraction of attention and the slope of the psychometric function." Journal of the Optical Society of America A 16, no. 2 (February 1, 1999): 217. http://dx.doi.org/10.1364/josaa.16.000217.

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Mayer, Melanie J., and Christopher W. Tyler. "Invariance of the slope of the psychometric function with spatial summation." Journal of the Optical Society of America A 3, no. 8 (August 1, 1986): 1166. http://dx.doi.org/10.1364/josaa.3.001166.

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Wilson, Richard H., Carol A. Zizz, Janet E. Shanks, and G. Donald Causey. "Normative Data in Quiet, Broadband Noise, and Competing Message for Northwestern University Auditory Test No. 6 by a Female Speaker." Journal of Speech and Hearing Disorders 55, no. 4 (November 1990): 771–78. http://dx.doi.org/10.1044/jshd.5504.771.

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Two descriptive experiments were performed on a version of the Northwestern University Auditory Test No. 6 (NU No. 6) recorded by a female speaker that is included on an audio compact disc recently produced by the Department of Veterans Affairs. In Experiment 1, normative psychometric functions for the female speaker version of the NU No. 6 materials were established on 24 young adults for three monaural listening conditions (in quiet, in 60-dB SPL broadband noise, and in 60-dB SPL competing message). The 60-dB SPL broadband noise shifted the psychometric function for the NU No. 6 words 33 dB, whereas the 60-dB SPL competing message shifted the function only 18–22 dB. In contrast to the slopes of the quiet and noise conditions (4.5%/dB), the slope of the competing message function was more gradual (3.5%/dB). In Experiment 2, comparisons between the psychometric functions for the female and the original male speaker versions of NU No. 6 in quiet and in broadband noise were made on 8 young adults. In comparison to the psychometric functions for the male speaker version of NU No. 6, the functions for the female speaker version of NU No. 6 were displaced between the 10–90% correct points to higher sound-pressure levels by 10–13 dB in quiet and by 12–16 dB in noise. The difference in performance on the two versions of NU No. 6 is attributed to spectral differences between the two sets of materials that produced a calibration anomaly.
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Serrano-Pedraza, Ignacio, Kathleen Vancleef, Will Herbert, Maeve Woodhouse, and Jenny Read. "Determination of the slope of the psychometric function for different stereoacuity tasks." Journal of Vision 16, no. 12 (September 1, 2016): 838. http://dx.doi.org/10.1167/16.12.838.

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Dissertations / Theses on the topic "Psychometric function slope"

1

Reese, Jessica Lee. "The Effect of the Slope of the Psychometric Function on the Measurement of Speech Recognition Threshold Using a Female Talker." BYU ScholarsArchive, 2018. https://scholarsarchive.byu.edu/etd/6868.

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Speech audiometry has long been a component of a thorough audiological examination. The speech recognition threshold (SRT) measurement is perhaps the most widely used measurement in speech audiometry. For decades, researchers and clinicians have worked to create and fine-tune word lists that for use in SRT testing; their aim being to improve the accuracy for classifying a client's ability to hear and comprehend speech. Experts in the field have agreed to follow four tenets of speech audiometry when selecting word sets. This study examined whether improvement to stimulus lists for SRT measurement could be made in regards to the tenet of homogeneity with respect to audibility if the slope of the psychometric function were a selection consideration. The study was performed with the hypothesis that steeply sloping words would significantly reduce the number of words needed to obtain the SRT. Three word lists, all recorded by a female talker, comprising of steeply sloping words, medium sloping words, and shallow sloping words, were used in the study. Participants with normal hearing between the ages of 18 and 30 years provided data that was used to calculate SRT measurements for all three lists from each ear. The results showed a significant difference in the number of words needed to obtain the SRT when comparing the steep and shallow word sets and the shallow and medium word sets. Steeply sloping words required fewer words to obtain the SRT, M = 17.02. Shallow sloping words required the most words, M = 18.88, amounting to a difference of 1.86 words. While statistically different, a reduction by fewer than 2 words during the course of SRT testing will not equate to a substantial saving of time for the clinician. For clinical application, the slope of the psychometric function of the words used in SRT measurement need not be a primary consideration when developing stimulus lists.
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Bakhsh, Nujod Ali. "The Effect of the Slope of the Psychometric Function on the Measurement of Speech Recognition Threshold Using a Male Talker." BYU ScholarsArchive, 2018. https://scholarsarchive.byu.edu/etd/6841.

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Speech audiometry is the aspect of audiology that provides critical information on how individuals hear one of the most important sounds of daily life: speech. The speech recognition threshold (SRT) is a measure of speech audiometry that is widely used to provide information on an individual's capacity to hear speech. Over time, researchers and clinicians have worked to improve the SRT by developing and modifying a variety of word lists to be used during testing. Eventually, spondaic words were selected as the best stimuli for the SRT. The spondaic words had to meet four criteria: familiarity, phonetic dissimilarity, normal sampling of English sounds, and homogeneity with respect to audibility. This study examined the aspect of homogeneity with regard to slope of the psychometric function. Specifically, whether slope of the psychometric function had an effect on the number of words used to obtain the SRT, and thus reduce test time, as well as whether slope had an effect on the relationship between the SRT and the pure-tone average (PTA). It was hypothesized that words with a steep slope would significantly reduce test time and yield a close SRT-PTA agreement. Three word lists (steep, medium, and shallow sloping words), all recorded by a male talker, were used to obtain the SRT on 40 participants (ages 18-30 years). Statistical analysis showed significant differences in the number of words to obtain the SRT and the SRT-PTA agreement. However, when the differences were examined from a clinical perspective, the results were negligible. When compared with words with medium and steep slopes, words with shallow slope required an average of four extra words to obtain the SRT, which does not result in a meaningful reduction in test time. For clinical purposes, it appears that the slope of the psychometric function does not need to be taken into consideration for the SRT. Clinicians may use a variety of words as long as they meet the original four criteria for selection of spondees.
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Bunker, Lisa Dawn. "Development of Tongan Materials for Determining Speech Recognition Thresholds." Diss., CLICK HERE for online access, 2008. http://contentdm.lib.byu.edu/ETD/image/etd2419.pdf.

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