Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

Analysis of categorical response data: Use logistic regression rather than endpoint-difference scores of discriminant analysis (L)

Simple item page
dc.contributor.authorMorrison, Geoffrey
dc.contributor.authorKondaurova, Maria V.
dc.date.accessioned2015-12-10T22:27:48Z
dc.date.issued2009
dc.date.updated2016-02-24T12:12:08Z
dc.description.abstractExample of a typical second-language (L2) speech perception experiment: Synthetic vowel stimuli from a two-dimensional grid of points in which acoustic properties vary systematically in duration and spectral properties are classified as English /i/ or /I/ by L2-English listeners. In a number of studies, the data from such experiments have been analyzed using endpoint-difference scores or discriminant analysis. The current letter describes theoretical problems inherent in the first procedure in general, and in the application of the second procedure to data of this type in particular. Logistic regression is proposed as an alternative, which does not suffer from these problems.
dc.identifier.issn0001-4966
dc.identifier.urihttp://hdl.handle.net/1885/54362
dc.publisherAcoustical Society of America
dc.sourceJournal of the Acoustical Society of America
dc.subjectKeywords: Logistic regressions; Response data; Second procedures; Spectral properties; Speech perception; Vowel stimuli; Acoustic properties; Discriminant analysis; article; discriminant analysis; language; logistic regression analysis; noise; priority journal; sco
dc.titleAnalysis of categorical response data: Use logistic regression rather than endpoint-difference scores of discriminant analysis (L)
dc.typeJournal article
local.bibliographicCitation.issue5
local.bibliographicCitation.lastpage2162
local.bibliographicCitation.startpage2159
local.contributor.affiliationMorrison, Geoffrey, College of Arts and Social Sciences, ANU
local.contributor.affiliationKondaurova, Maria V., Indiana University
local.contributor.authoruidMorrison, Geoffrey, u4479616
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.identifier.absfor200404 - Laboratory Phonetics and Speech Science
local.identifier.ariespublicationu9803255xPUB298
local.identifier.citationvolume126
local.identifier.doi10.1121/1.3216917
local.identifier.scopusID2-s2.0-70449440873
local.type.statusPublished Version

Downloads

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
01_Morrison_Analysis_of_categorical_2009.pdf
Size:
230.71 KB
Format:
Adobe Portable Document Format
Download

Collections

ANU Research Publications

DSpace software copyright © 2002-2026 LYRASIS