@article{maiano_validation_2023,

title = {Validation of an Adapted Version of the Glasgow Anxiety Scale for People with Intellectual Disabilities (GAS-ID)},

author = {C. Maïano and A. J. S. Morin and C. Gagnon and E. Olivier and D. Tracey and R. G. Craven and S. Bouchard},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125069450&doi=10.1007%2fs10803-021-05398-7&partnerID=40&md5=7347eb15e719941ce5eca046eb7f4564},

doi = {10.1007/s10803-021-05398-7},

issn = {01623257},

year  = {2023},

date = {2023-01-01},

journal = {Journal of Autism and Developmental Disorders},

volume = {53},

number = {4},

pages = {1560–1572},

abstract = {The objective of the study was to validate adapted versions of the Glasgow Anxiety Scale for people with Intellectual Disabilities (GAS-ID) simultaneously developed in English and French. A sample of 361 youth with mild to moderate intellectual disability (ID) (M = 15.78 years) from Australia (English-speaking) and Canada (French-speaking) participated in this study. The results supported the factor validity and reliability, measurement invariance (between English and French versions), a lack of differential items functioning (as a function of youth’s age and ID level, but not sex in the English-Australian sample), temporal stability (over one year interval), and convergent validity (with global self-esteem and school loneliness) of a bi-factor exploratory structural equation modeling representation of the GAS-ID. The present study supports the psychometric properties of the English-Australian and French-Canadian versions of the adapted GAS-ID. © 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.},

note = {Publisher: Springer},

keywords = {Adolescent, adult, Anxiety, anxiety assessment, article, Australia, autism, Autism Spectrum Disorder, Canada, Child, confirmatory factor analysis, controlled study, convergent validity, emotion assessment, English (language), exploratory structural equation modeling, female, French (language), glasgow anxiety scale, human, Humans, instrument validation, Intellectual Disability, intellectual impairment, intelligence quotient, loneliness, major clinical study, male, Psychometrics, psychometry, reliability, reproducibility, Reproducibility of Results, school child, school loneliness scale, self description questionnaire 1, self esteem, self report, self-concept assessment, statistical analysis, validity, Young Adult},

pubstate = {published},

tppubtype = {article}

}

@article{allili_wavelet_2012,

title = {Wavelet modeling using finite mixtures of generalized Gaussian distributions: Application to texture discrimination and retrieval},

author = {M. S. Allili},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84859096106&doi=10.1109%2fTIP.2011.2170701&partnerID=40&md5=0420facdc04978ad84bea3126bc1183a},

doi = {10.1109/TIP.2011.2170701},

issn = {10577149},

year  = {2012},

date = {2012-01-01},

journal = {IEEE Transactions on Image Processing},

volume = {21},

number = {4},

pages = {1452–1464},

abstract = {This paper addresses statistical-based texture modeling using wavelets. We propose a new approach to represent the marginal distribution of the wavelet coefficients using finite mixtures of generalized Gaussian (MoGG) distributions. The MoGG captures a wide range of histogram shapes, which provides better description and discrimination of texture than using single probability density functions (pdf's), as proposed by recent state-of-the-art approaches. Moreover, we propose a model similarity measure based on Kullback-Leibler divergence (KLD) approximation using Monte Carlo sampling methods. Through experiments on two popular texture data sets, we show that our approach yields significant performance improvements for texture discrimination and retrieval, as compared with recent methods of statistical-based wavelet modeling. © 2011 IEEE.},

keywords = {algorithm, Algorithms, article, Automated, automated pattern recognition, computer assisted diagnosis, Computer Simulation, Computer-Assisted, Data Interpretation, Finite mixtures, Generalized Gaussian, Generalized Gaussian Distributions, Image Enhancement, Image Interpretation, Image segmentation, Imaging, Kullback Leibler divergence, Marginal distribution, methodology, Mixtures, Models, Monte Carlo methods, Monte Carlo sampling, Normal Distribution, Pattern Recognition, Performance improvements, reproducibility, Reproducibility of Results, Sensitivity and Specificity, Similarity measure, State-of-the-art approach, Statistical, statistical analysis, statistical model, Texture data set, Texture discrimination, Texture modeling, Textures, three dimensional imaging, Three-Dimensional, Wavelet Analysis, Wavelet coefficients, Wavelet decomposition, Wavelet modeling},

pubstate = {published},

tppubtype = {article}

}

@article{bouchard_psychometric_1998,

title = {Psychometric properties of the french version of the state-trait anxiety inventory (form Y) adapted for older adults},

author = {S. Bouchard and H. Ivers and J. G. Gauthier and M. -H. Pelletier and J. Savard},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-2442756433&doi=10.1017%2fS0714980800012708&partnerID=40&md5=487fed7fa1434e5f896990a9230ff4a9},

doi = {10.1017/S0714980800012708},

issn = {07149808},

year  = {1998},

date = {1998-01-01},

journal = {Canadian Journal on Aging},

volume = {17},

number = {4},

pages = {440–453},

abstract = {Although there are reports that the State-Trait Anxiety Inventory (STAI) should be adapted to older adults, the standard version of the instrument is consistently used with this population. Bouchard, Gauthier, Ivers and Paradis (1996) have adapted a French version of the STAI for a population of older adults and found one item with extremely low item-remainder correlation. In Study 1 (N = 57), alternative formulations of item 24 were assessed to examine if the low item-remainder correlation was related to problems in translation that could become apparent in a sample of older adults. Study 2 (N = 188) was conducted in order to replicate the findings of Study 1 and assess the factor structure of the instrument. In Study 3, 46 older adults completed the instrument on two occasions with a 35-day interval to assess test-retest reliability. Our results suggest that: (a) item 24 should be removed from the trait anxiety scale and be replaced by the mean of the other anxiety-present items; (b) the instrument has a four-factor structure similar to what is found with the standard version of the STAI in non-elderly samples; and (c) both subscales are highly stable.},

note = {Publisher: Cambridge University Press},

keywords = {aged, anxiety neurosis, article, female, gerontopsychiatry, human, major clinical study, male, psychiatric diagnosis, psychometry, statistical analysis},

pubstate = {published},

tppubtype = {article}

}