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      Disentangling the Effects of Position and Utterance-Level Declination on the Production of Complex Tones in Yoloxóchitl Mixtec

      , 1 , 2
      Language and Speech
      SAGE Publications

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          Abstract

          Phrase-final position is cross-linguistically the locus of both processes of phonetic reduction and processes of phonetic enhancement. In tone languages, phrasal position is a conditioning environment for processes of tone sandhi/allotony, though such patterns emerge from local processes of tonal enhancement or reduction. The current article examines the production of tone in Yoloxóchitl Mixtec, an endangered language of Mexico with nine lexical tones and fixed, stem-final stress, across phrasal and utterance positions via three experiments. In the first two experiments, the findings show that speakers lengthen syllables and expand the tonal F0 range in utterance-final position. The effect of this range expansion is high tone raising, low tone lowering, and falling contour lowering. Rising contour tones undergo substantial leveling when produced in a non-utterance-final context, similar to Taiwanese Mandarin. These findings suggest that postural changes in F0 range are controlled, intonational effects in tonal languages and not paralinguistic. In the third experiment, we examine utterance-level declination and raising within sentences consisting entirely of level tones. We show that utterance-level F0 changes are independent from local tonal hyperarticulation effects in phrase-final position. Together, the experiments largely support prosodically-conditioned phonetic undershoot as a control mechanism in tone production and demonstrate how tonal complexity may constrain universal tendencies in speech production.

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          Most cited references105

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          lmerTest Package: Tests in Linear Mixed Effects Models

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            The weirdest people in the world?

            Behavioral scientists routinely publish broad claims about human psychology and behavior in the world's top journals based on samples drawn entirely from Western, Educated, Industrialized, Rich, and Democratic (WEIRD) societies. Researchers - often implicitly - assume that either there is little variation across human populations, or that these "standard subjects" are as representative of the species as any other population. Are these assumptions justified? Here, our review of the comparative database from across the behavioral sciences suggests both that there is substantial variability in experimental results across populations and that WEIRD subjects are particularly unusual compared with the rest of the species - frequent outliers. The domains reviewed include visual perception, fairness, cooperation, spatial reasoning, categorization and inferential induction, moral reasoning, reasoning styles, self-concepts and related motivations, and the heritability of IQ. The findings suggest that members of WEIRD societies, including young children, are among the least representative populations one could find for generalizing about humans. Many of these findings involve domains that are associated with fundamental aspects of psychology, motivation, and behavior - hence, there are no obvious a priori grounds for claiming that a particular behavioral phenomenon is universal based on sampling from a single subpopulation. Overall, these empirical patterns suggests that we need to be less cavalier in addressing questions of human nature on the basis of data drawn from this particularly thin, and rather unusual, slice of humanity. We close by proposing ways to structurally re-organize the behavioral sciences to best tackle these challenges.
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              Random effects structure for confirmatory hypothesis testing: Keep it maximal.

              Linear mixed-effects models (LMEMs) have become increasingly prominent in psycholinguistics and related areas. However, many researchers do not seem to appreciate how random effects structures affect the generalizability of an analysis. Here, we argue that researchers using LMEMs for confirmatory hypothesis testing should minimally adhere to the standards that have been in place for many decades. Through theoretical arguments and Monte Carlo simulation, we show that LMEMs generalize best when they include the maximal random effects structure justified by the design. The generalization performance of LMEMs including data-driven random effects structures strongly depends upon modeling criteria and sample size, yielding reasonable results on moderately-sized samples when conservative criteria are used, but with little or no power advantage over maximal models. Finally, random-intercepts-only LMEMs used on within-subjects and/or within-items data from populations where subjects and/or items vary in their sensitivity to experimental manipulations always generalize worse than separate F 1 and F 2 tests, and in many cases, even worse than F 1 alone. Maximal LMEMs should be the 'gold standard' for confirmatory hypothesis testing in psycholinguistics and beyond.
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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Language and Speech
                Lang Speech
                SAGE Publications
                0023-8309
                1756-6053
                September 2021
                July 20 2020
                September 2021
                : 64
                : 3
                : 515-557
                Affiliations
                [1 ]University at Buffalo, USA
                [2 ]Secretaría de educación pública (SEP), Chilpancingo, Guerrero, Mexico
                Article
                10.1177/0023830920939132
                715a0d1d-60ba-4c64-85ea-781d8a6a55aa
                © 2021

                http://www.sagepub.com/licence-information-for-chorus

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