100+ datasets found
  1. Normative data for spatial release from masking (Jakien & Gallun, 2018)

    • asha.figshare.com
    xlsx
    Updated May 31, 2023
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    Kasey M. Jakien; Frederick J. Gallun (2023). Normative data for spatial release from masking (Jakien & Gallun, 2018) [Dataset]. http://doi.org/10.23641/asha.7080878.v1
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    xlsxAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    American Speech–Language–Hearing Associationhttp://www.asha.org/
    Authors
    Kasey M. Jakien; Frederick J. Gallun
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Purpose: The purpose of this study is to report normative data and predict thresholds for a rapid test of spatial release from masking for speech perception. The test is easily administered and has good repeatability, with the potential to be used in clinics and laboratories. Normative functions were generated for adults varying in age and amounts of hearing loss.Method: The test of spatial release presents a virtual auditory scene over headphones with 2 conditions: colocated (with target and maskers at 0°) and spatially separated (with target at 0° and maskers at ± 45°). Listener thresholds are determined as target-to-masker ratios, and spatial release from masking (SRM) is determined as the difference between the colocated condition and spatially separated condition.Multiple linear regression was used to fit the data from 82 adults 18–80 years of age with normal to moderate hearing loss (0–40 dB HL pure-tone average [PTA]). The regression equations were then used to generate normative functions that relate age (in years) and hearing thresholds (as PTA) to target-to-masker ratios and SRM.Results: Normative functions were able to predict thresholds with an error of less than 3.5 dB in all conditions. In the colocated condition, the function included only age as a predictive parameter, whereas in the spatially separated condition, both age and PTA were included as parameters. For SRM, PTA was the only significant predictor. Different functions were generated for the 1st run, the 2nd run, and the average of the 2 runs. All 3 functions were largely similar in form, with the smallest error being associated with the function on the basis of the average of 2 runs.Conclusion: With the normative functions generated from this data set, it would be possible for a researcher or clinician to interpret data from a small number of participants or even a single patient without having to first collect data from a control group, substantially reducing the time and resources needed.Supplemental Material S1. The full audiogram data for each participant, along with gender, hearing aid use, and calculated values of PTA and asymmetry across ears. Jakien, K. M., & Gallun, F. J. (2018). Normative data for a rapid, automated test of spatial release from masking. American Journal of Audiology, 27, 529–538. https://doi.org/10.1044/2018_AJA-17-0069

  2. h

    Data for Publication: The Speaking Voice in the General Population:Normative...

    • health-atlas.de
    • health-atlas.eu
    xlsx
    Updated May 3, 2019
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    Christoph Engel; Martin Berg; Michael Fuchs; Kerstin Wirkner; Markus Löffler; Thomas Berger (2019). Data for Publication: The Speaking Voice in the General Population:Normative Data and Associations to Sociodemographicand Lifestyle Factors [Dataset]. https://www.health-atlas.de/data_files/2
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    xlsx(398 KB)Available download formats
    Dataset updated
    May 3, 2019
    Authors
    Christoph Engel; Martin Berg; Michael Fuchs; Kerstin Wirkner; Markus Löffler; Thomas Berger
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Normative data concerning the speaking voice in the general population were gathered with the aim to establish standard values for clinical diagnostics. Associations between the speaking voice and sociodemographic factors were examined.

  3. f

    Data from: Psycholinguistic norms for 92 action pictures and verbs in the...

    • tandf.figshare.com
    xlsx
    Updated Jun 3, 2023
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    Maedeh Shariat; Saeideh Moayedfar; Leila Ghasisin (2023). Psycholinguistic norms for 92 action pictures and verbs in the Persian language in young- and middle-aged people [Dataset]. http://doi.org/10.6084/m9.figshare.13606759.v1
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    xlsxAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    Taylor & Francis
    Authors
    Maedeh Shariat; Saeideh Moayedfar; Leila Ghasisin
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    A verb as the fundamental part of a sentence is important and its retrieval consists of different cognitive stages. Additionally, verb retrieval difficulty is reported in some types of aphasia and other neurological diseases, and some psycholinguistic variables can influence the verb retrieval process. This study aimed to provide a normative database in the Persian language for 92 black and white action pictures and related verbs in two groups of young ages (20 to 40 years old) and middle ages (41 to 64 years old). A total of 150 volunteers participated in this study, and the groups had similar characteristics due to education. The pictures were normed for variables such as name agreement, familiarity, visual complexity, age of acquisition, and image agreement. Correlation coefficients were calculated values among these measures, and comparisons were made between the two age groups. The results of the comparisons between the two groups showed that name agreement and familiarities were age-dependent. The results revealed that all measures varied with age. Also, the present study provided a set of verbs and their pictures in the Persian language and normative data were obtained on the psycholinguistic variables such that it can be used for clinical practice and research in the areas of verb processing and their naming.

  4. f

    Table 1_Generating normative data from web-based administration of the...

    • frontiersin.figshare.com
    • figshare.com
    docx
    Updated Sep 20, 2024
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    Elizabeth Wragg; Caroline Skirrow; Pasquale Dente; Jack Cotter; Peter Annas; Milly Lowther; Rosa Backx; Jenny Barnett; Fiona Cree; Jasmin Kroll; Francesca Cormack (2024). Table 1_Generating normative data from web-based administration of the Cambridge Neuropsychological Test Automated Battery using a Bayesian framework.docx [Dataset]. http://doi.org/10.3389/fdgth.2024.1294222.s001
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    docxAvailable download formats
    Dataset updated
    Sep 20, 2024
    Dataset provided by
    Frontiers
    Authors
    Elizabeth Wragg; Caroline Skirrow; Pasquale Dente; Jack Cotter; Peter Annas; Milly Lowther; Rosa Backx; Jenny Barnett; Fiona Cree; Jasmin Kroll; Francesca Cormack
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    IntroductionNormative cognitive data can distinguish impairment from healthy cognitive function and pathological decline from normal ageing. Traditional methods for deriving normative data typically require extremely large samples of healthy participants, stratifying test variation by pre-specified age groups and key demographic features (age, sex, education). Linear regression approaches can provide normative data from more sparsely sampled datasets, but non-normal distributions of many cognitive test results may lead to violation of model assumptions, limiting generalisability.MethodThe current study proposes a novel Bayesian framework for normative data generation. Participants (n = 728; 368 male and 360 female, age 18–75 years), completed the Cambridge Neuropsychological Test Automated Battery via the research crowdsourcing website Prolific.ac. Participants completed tests of visuospatial recognition memory (Spatial Working Memory test), visual episodic memory (Paired Associate Learning test) and sustained attention (Rapid Visual Information Processing test). Test outcomes were modelled as a function of age using Bayesian Generalised Linear Models, which were able to derive posterior distributions of the authentic data, drawing from a wide family of distributions. Markov Chain Monte Carlo algorithms generated a large synthetic dataset from posterior distributions for each outcome measure, capturing normative distributions of cognition as a function of age, sex and education.ResultsComparison with stratified and linear regression methods showed converging results, with the Bayesian approach producing similar age, sex and education trends in the data, and similar categorisation of individual performance levels.ConclusionThis study documents a novel, reproducible and robust method for describing normative cognitive performance with ageing using a large dataset.

  5. D

    Data from: A clinical guide to assessment of navigation impairment:...

    • dataverse.nl
    zip
    Updated Sep 18, 2023
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    Ineke van der Ham; Ineke van der Ham; Michiel Claessen; Michiel Claessen (2023). A clinical guide to assessment of navigation impairment: Standardized subjective and objective instruments and normative data [Dataset]. http://doi.org/10.34894/6IPQ7L
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    zip(493585), zip(1972473), zip(12170), zip(56183)Available download formats
    Dataset updated
    Sep 18, 2023
    Dataset provided by
    DataverseNL
    Authors
    Ineke van der Ham; Ineke van der Ham; Michiel Claessen; Michiel Claessen
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    From previous work: https://doi.org/10.34894/C7WCZW (Ethics reference: 815). Data collected during the "Weekend van de wetenschap" event.

  6. Data from: Multicenter normative data for mesopic microperimetry

    • zenodo.org
    • researchdata.edu.au
    zip
    Updated Sep 7, 2024
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    Maximilian Pfau; Maximilian Pfau; Jasleen K Jolly; Jasleen K Jolly; Jason Charng; Jason Charng; Leon von der Emde; Leon von der Emde; Philipp L. Mueller; Philipp L. Mueller; Georg Ansari; Georg Ansari; Kristina Pfau; Kristina Pfau; Fred K. Chen; Fred K. Chen; Zhichao Wu; Zhichao Wu (2024). Multicenter normative data for mesopic microperimetry [Dataset]. http://doi.org/10.5281/zenodo.13625812
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    zipAvailable download formats
    Dataset updated
    Sep 7, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Maximilian Pfau; Maximilian Pfau; Jasleen K Jolly; Jasleen K Jolly; Jason Charng; Jason Charng; Leon von der Emde; Leon von der Emde; Philipp L. Mueller; Philipp L. Mueller; Georg Ansari; Georg Ansari; Kristina Pfau; Kristina Pfau; Fred K. Chen; Fred K. Chen; Zhichao Wu; Zhichao Wu
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This record contains the analysis and underyling data presented in the manuscript Pfau et al. 'Multicenter normative data for mesopic microperimetry'.

    Contents:

    • 2024-08-30_Multicenter-Normal-Data.csv: Newly published normal data for mesopic microperimetry
    • 2024-08-30_Analysis.R: Analysis script
    • 2024-08-30_Vignette-to-create-normal-data.R: Software example to create normative maps

    The subfolders Figures and Tables show the analysis results.

    The folder Intermediary_Results contains the results of the cross-validation folds to assess model perfromance.

    To run the analysis code in 2024-08-30_Analysis.R, the following data is needed in addition:

    Astle et al. Data Brief. 2016 Aug 4;9:673-675. doi: 10.1016/j.dib.2016.07.061

    The 2024-08-30_Multicenter-Normal-Data.csv file with the data contains the following columns:

    • source: Describes the clinical site
    • MachineID: ID of the MAIA device used for data collection
    • ParticipantID: ID of the participant
    • EID: ID of the eye
    • eye: Laterality (either Right or Left)
    • sex: Sex (f for female, m for male)
    • age: Age in years
    • ExamID: ID of the exam
    • ExamBaselineID: ID of the corresponding baseline exam (-1 indicates that the exam itself is the baseline exam)
    • GridUsed: Name of the grid
    • falsepos: Rate of false positive responses to Heijl-Krakau stimulus presentations to the optic nerve head (blind spot)
    • bcea63_area_deg2: Fixation stability in terms of the bivariate contour ellipse area covering 63% of the fixation points (in square degree)
    • bcea95_area_deg2: Fixation stability in terms of the bivariate contour ellipse area covering 95% of the fixation points (in square degree)
    • pointID: ID of the test point
    • eccentricity: Eccentricity of the test point (in degree)
    • x_coord: X-coordinate of the test point (in degree), negative values are temporal to the fovea and positive values are nasal to the fovea (in retinal space)
    • y_coord: Y-coordinate of the test point (in degree), negative values are inferior to the fovea and positive values are superior to the fovea (in retinal space)
    • sensitivity: Sensitivity at the test point (in dB)
  7. d

    Data from: Normative standards for isokinetic and anthropometric...

    • search.dataone.org
    Updated Nov 8, 2023
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    Kramer, Mark (2023). Normative standards for isokinetic and anthropometric classifications of university level netball players [Dataset]. http://doi.org/10.7910/DVN/J1N96M
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    Dataset updated
    Nov 8, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Kramer, Mark
    Description

    This is data used for the study titled "Normative standards for isokinetic and anthropometric classifications of university level netball players".

  8. d

    Data from: Developmental Normative Data of the Rey-Osterrieth Complex Figure...

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 22, 2023
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    Eldeib, Mostafa (2023). Developmental Normative Data of the Rey-Osterrieth Complex Figure Test in an Egyptian Population [Dataset]. http://doi.org/10.7910/DVN/8MPQGI
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    Dataset updated
    Nov 22, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Eldeib, Mostafa
    Description

    excel file contains numerical data for peer-reviewed

  9. c

    Normative Data Concerning Back Flexibility of Able-Bodied Women Between 30...

    • datacatalogue.cessda.eu
    Updated Jan 20, 2022
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    (2022). Normative Data Concerning Back Flexibility of Able-Bodied Women Between 30 and 50 Years of Age, 1998 [Dataset]. http://doi.org/10.18712/NSD-NSD1565-V1
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    Dataset updated
    Jan 20, 2022
    Time period covered
    Oct 20, 1998 - Nov 6, 1998
    Variables measured
    Individ
    Description

    The purpose was to highlight what is the normal movement in the back of able-bodied/employable women without back pain, and if the spinal movement is different between healthy women and patients with back problems.

  10. d

    A clinical guide to assessment of navigation impairment: Standardized...

    • b2find.dkrz.de
    Updated Nov 3, 2023
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    (2023). A clinical guide to assessment of navigation impairment: Standardized subjective and objective instruments and normative data - Dataset - B2FIND [Dataset]. https://b2find.dkrz.de/dataset/eb375627-12ae-5359-9096-0353dc7bd947
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    Dataset updated
    Nov 3, 2023
    Description

    In the current article the existing dataset is re-used and analysed to create normative data information. No new data was collected for the current article.

  11. f

    Sociodemographic characteristics of the participants by sex.

    • plos.figshare.com
    xls
    Updated Sep 29, 2023
    + more versions
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    Enkhjin Bat-Erdene; Tetsuya Hiramoto; Enkhnaran Tumurbaatar; Gantsetseg Tumur-Ochir; Otgonbold Jamiyandorj; Eiko Yamamoto; Nobuyuki Hamajima; Takakazu Oka; Tsolmon Jadamba; Battuvshin Lkhagvasuren (2023). Sociodemographic characteristics of the participants by sex. [Dataset]. http://doi.org/10.1371/journal.pone.0291427.t001
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    xlsAvailable download formats
    Dataset updated
    Sep 29, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Enkhjin Bat-Erdene; Tetsuya Hiramoto; Enkhnaran Tumurbaatar; Gantsetseg Tumur-Ochir; Otgonbold Jamiyandorj; Eiko Yamamoto; Nobuyuki Hamajima; Takakazu Oka; Tsolmon Jadamba; Battuvshin Lkhagvasuren
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Sociodemographic characteristics of the participants by sex.

  12. Estimated cut-off scores

    • figshare.com
    application/gzip
    Updated Mar 9, 2018
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    Hanne Huygelier; Céline R. Gillebert (2018). Estimated cut-off scores [Dataset]. http://doi.org/10.6084/m9.figshare.5965915.v1
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    application/gzipAvailable download formats
    Dataset updated
    Mar 9, 2018
    Dataset provided by
    figshare
    Authors
    Hanne Huygelier; Céline R. Gillebert
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    This dataset contains files with estimated cut-off scores on the basis of simulated null distributions of two measures of cancellation performance. The cut-off scores were generated through 3 different methods.

  13. d

    NIH Toolbox Norming Study

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 21, 2023
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    Richard Gershon (2023). NIH Toolbox Norming Study [Dataset]. http://doi.org/10.7910/DVN/FF4DI7
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    Dataset updated
    Nov 21, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Richard Gershon
    Description

    The NIH Toolbox normative study was conducted in 2011. The sample consisted of community-dwelling children and adults ages 3–85 years old recruited at 10 U.S. testing sites. PLEASE review README file for important descriptive information about the data files.

  14. Data from: Classification results

    • figshare.com
    application/gzip
    Updated Mar 9, 2018
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    Hanne Huygelier; Céline R. Gillebert (2018). Classification results [Dataset]. http://doi.org/10.6084/m9.figshare.5965921.v1
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    application/gzipAvailable download formats
    Dataset updated
    Mar 9, 2018
    Dataset provided by
    figshare
    Figsharehttp://figshare.com/
    Authors
    Hanne Huygelier; Céline R. Gillebert
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    These datasets contain the results of classifying simulated observations of cancellation performance according to cut-off scores generated through three different methods. The measures of classification accuracy are the: d-prime, a measure of bias (C), the false alarms and errors of false direction (classifying a left spatial asymmetry as a right spatial asymmetry and vice versa).

  15. f

    Data from: Phonological awareness and early reading and writing abilities in...

    • scielo.figshare.com
    xls
    Updated Jun 1, 2023
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    Phonological awareness and early reading and writing abilities in early childhood education: preliminary normative data [Dataset]. https://scielo.figshare.com/articles/dataset/Phonological_awareness_and_early_reading_and_writing_abilities_in_early_childhood_education_preliminary_normative_data/7898879
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    SciELO journals
    Authors
    Camila Barbosa Riccardi León; Ágata Almeida; Sandra Lira; Grace Zauza; Talita de Cássia Batista Pazeto; Alessandra Gotuzo Seabra; Natália Martins Dias
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    ABSTRACT Objective: to provide preliminary normative data for the Reading and Writing Test by type of school, and normative data for the Phonological Awareness Test by Oral Production for private schools and update their normative data available for public schools, all of which are for children in the final year of early childhood education. Methods: 267 children, in the age range of 5 years, and typical development. Identification Questionnaire for Parents, Phonological Awareness Test by Oral Production and Reading and Writing Test were used. The means of performance in the tests of the present sample were compared with the existing normative data to justify normative data provision and updating. Results: Student’s t-test revealed that the private school children outperformed those of the public schools in all measures, reinforcing the need for specific standards, according to the type of school. There were strong to very strong relationships among the variables evaluated, demonstrating a marked association between phonological awareness and initial reading and writing abilities. The Wilcoxon test revealed significant differences between the performance of the children of the present study, from both private and public schools, and the data from the Phonological Awareness Test by Oral Production standardization sample, suggesting the need to update the Phonological Awareness Test by Oral Production standards. Finally, the new normative data were presented. Conclusion: the need to make available and update the test standards used, according to the type of school, was confirmed. Further studies are necessary to expand the data presented to other age groups.

  16. d

    3D Facial Norms Database

    • dknet.org
    • neuinfo.org
    • +2more
    Updated Jan 21, 2025
    + more versions
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    (2025). 3D Facial Norms Database [Dataset]. http://identifiers.org/RRID:SCR_005991
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    Dataset updated
    Jan 21, 2025
    Description

    Database of high-quality craniofacial anthropometric normative data for the research and clinical community based on digital stereophotogrammetry. Unlike traditional craniofacial normative datasets that are limited to measures obtained with handheld calipers and tape measurers, the anthropometric data provided here are based on digital stereophotogrammetry, a method of 3D surface imaging ideally suited for capturing human facial surface morphology. Also unlike more traditional normative craniofacial resources, the 3D Facial Norms Database allows users to interact with data via an intuitive graphical interface and - given proper credentials - gain access to individual-level data, allowing users to perform their own analyses.

  17. d

    Data for: The public sphere as a normative ideal for public communications:...

    • datadryad.org
    • data.niaid.nih.gov
    • +1more
    zip
    Updated Jun 9, 2023
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    Terry Flew; Peng Duan; Chunmeizi Su; Xiao Han; Yu Zou (2023). Data for: The public sphere as a normative ideal for public communications: From mass media to digital platforms [Dataset]. http://doi.org/10.5061/dryad.6djh9w14h
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    zipAvailable download formats
    Dataset updated
    Jun 9, 2023
    Dataset provided by
    Dryad
    Authors
    Terry Flew; Peng Duan; Chunmeizi Su; Xiao Han; Yu Zou
    Time period covered
    2022
    Description

    Collected from ProQuest and EBSCOhost, processed by PRISMA and Python.

  18. m

    Normative values of upper limb non-equilibrium coordination tests among...

    • data.mendeley.com
    Updated May 19, 2022
    + more versions
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    Drishti Sheokand (2022). Normative values of upper limb non-equilibrium coordination tests among adolescents [Dataset]. http://doi.org/10.17632/hjpx4gh9fs.2
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    Dataset updated
    May 19, 2022
    Authors
    Drishti Sheokand
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    A cross-sectional study, recruiting 65 children of age group 12-17 years with purposive sampling to perform non-equilibrium coordination tests. Participants were asked to perform all tests one by one and the time taken (in seconds) was noted. The mean of three readings was obtained using a mobile based stop-watch. The normative reference values of finger to finger, finger to therapist finger, finger opposition, finger to nose and alternate nose to therapist finger comes out to be 2.28±0.65 seconds, 1.98±0.50 seconds, 2.14±0.52 seconds, 2.19 (2.12-2.41) seconds and 2.21 (2.14-2.44) seconds respectively.

  19. w

    Data from: Space materiality and the normative

    • workwithdata.com
    Updated Aug 24, 2022
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    Work With Data (2022). Space materiality and the normative [Dataset]. https://www.workwithdata.com/topic/space-materiality-and-the-normative
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    Dataset updated
    Aug 24, 2022
    Dataset authored and provided by
    Work With Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Space materiality and the normative is a book series. It includes 6 books, written by 5 different authors.

  20. d

    Data from: Cognition at age 70: life course predictors and associations with...

    • datadryad.org
    • data.niaid.nih.gov
    • +1more
    zip
    Updated Jun 13, 2020
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    Kirsty Lu; Jennifer M Nicholas; Jessica Collins; Sarah-Naomi James; Thomas D Parker; Christopher A Lane; Ashvini Keshavan; Sarah E Keuss; Sarah M Buchanan; Heidi Murray-Smith; David M Cash; Carole H Sudre; Ian B Malone; William Coath; Andrew Wong; Susie M D Henley; Sebastian J Crutch; Nick C Fox; Marcus Richards; Jonathan M Schott (2020). Cognition at age 70: life course predictors and associations with brain pathologies [Dataset]. http://doi.org/10.5061/dryad.nt561v7
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    zipAvailable download formats
    Dataset updated
    Jun 13, 2020
    Dataset provided by
    Dryad
    Authors
    Kirsty Lu; Jennifer M Nicholas; Jessica Collins; Sarah-Naomi James; Thomas D Parker; Christopher A Lane; Ashvini Keshavan; Sarah E Keuss; Sarah M Buchanan; Heidi Murray-Smith; David M Cash; Carole H Sudre; Ian B Malone; William Coath; Andrew Wong; Susie M D Henley; Sebastian J Crutch; Nick C Fox; Marcus Richards; Jonathan M Schott
    Time period covered
    2020
    Area covered
    United Kingdom
    Description

    Objective: To investigate predictors of performance on a range of cognitive measures including the Preclinical Alzheimer Cognitive Composite (PACC) and test for associations between cognition and dementia biomarkers in Insight 46, a sub-study of the MRC National Survey of Health and Development.

    Methods: 502 individuals born in the same week in 1946 underwent cognitive assessment at age 69-71 years, including an adapted version of the PACC and a test of non-verbal reasoning. Performance was characterised with respect to sex, childhood cognitive ability, education and socioeconomic position (SEP). In a sub-sample of 406 cognitively-normal participants, associations were investigated between cognition and β-amyloid (Aβ) positivity (determined from Aβ-PET imaging), whole brain volumes, white matter hyperintensity volumes (WMHV), and APOE-ε4.

    Results: Childhood cognitive ability was strongly associated with cognitive scores including the PACC more than 60 years later, and there were indep...

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Kasey M. Jakien; Frederick J. Gallun (2023). Normative data for spatial release from masking (Jakien & Gallun, 2018) [Dataset]. http://doi.org/10.23641/asha.7080878.v1
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Normative data for spatial release from masking (Jakien & Gallun, 2018)

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Dataset updated
May 31, 2023
Dataset provided by
American Speech–Language–Hearing Associationhttp://www.asha.org/
Authors
Kasey M. Jakien; Frederick J. Gallun
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

Purpose: The purpose of this study is to report normative data and predict thresholds for a rapid test of spatial release from masking for speech perception. The test is easily administered and has good repeatability, with the potential to be used in clinics and laboratories. Normative functions were generated for adults varying in age and amounts of hearing loss.Method: The test of spatial release presents a virtual auditory scene over headphones with 2 conditions: colocated (with target and maskers at 0°) and spatially separated (with target at 0° and maskers at ± 45°). Listener thresholds are determined as target-to-masker ratios, and spatial release from masking (SRM) is determined as the difference between the colocated condition and spatially separated condition.Multiple linear regression was used to fit the data from 82 adults 18–80 years of age with normal to moderate hearing loss (0–40 dB HL pure-tone average [PTA]). The regression equations were then used to generate normative functions that relate age (in years) and hearing thresholds (as PTA) to target-to-masker ratios and SRM.Results: Normative functions were able to predict thresholds with an error of less than 3.5 dB in all conditions. In the colocated condition, the function included only age as a predictive parameter, whereas in the spatially separated condition, both age and PTA were included as parameters. For SRM, PTA was the only significant predictor. Different functions were generated for the 1st run, the 2nd run, and the average of the 2 runs. All 3 functions were largely similar in form, with the smallest error being associated with the function on the basis of the average of 2 runs.Conclusion: With the normative functions generated from this data set, it would be possible for a researcher or clinician to interpret data from a small number of participants or even a single patient without having to first collect data from a control group, substantially reducing the time and resources needed.Supplemental Material S1. The full audiogram data for each participant, along with gender, hearing aid use, and calculated values of PTA and asymmetry across ears. Jakien, K. M., & Gallun, F. J. (2018). Normative data for a rapid, automated test of spatial release from masking. American Journal of Audiology, 27, 529–538. https://doi.org/10.1044/2018_AJA-17-0069

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