Course Modules

General

General General

Attachment

Baayen- Analyzing linguistic data.pdf Baayen- Analyzing linguistic data.pdf 1

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Attachment

Agresti (2007) Introduction to Categorical Data Analysis.pdf Agresti (2007) Introduction to Categorical Data Analysis.pdf 2

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External Url

R homepage R homepage 6

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External Url

MIT COUHES MIT COUHES 7

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External Url

Vasishth et al (2019) Linear Mixed Models in Linguistics and Psychology Vasishth et al (2019) Linear Mixed Models in Linguistics and Psychology 8

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Introduction

Introduction Introduction

Context Module Sub Header

Edward's glides and vowels data 1

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Attachment

glide-vowel.xls glide-vowel.xls 2

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Attachment

glide-vowel.csv glide-vowel.csv 3

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Attachment

Script from in class (with some additional things added): glide-vowel.R Script from in class (with some additional things added): glide-vowel.R 4

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Attachment

Script from t-test lecture Script from t-test lecture 5

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Context Module Sub Header

Readings 8

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External Url

Vasishth et al (2019) Vasishth et al (2019) 9

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Attachment

Zimmer (1969) Zimmer (1969) 10

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Attachment

Vennemann (1974) Vennemann (1974) 11

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Attachment

Pierrehumbert, Beckman and Ladd (2001) Conceptual Foundations of Phonology as a Laboratory Science Pierrehumbert, Beckman and Ladd (2001) Conceptual Foundations of Phonology as a Laboratory Science 12

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Context Module Sub Header

Slides 13

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Attachment

lm1 t-test '26.pdf lm1 t-test '26.pdf 14

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Context Module Sub Header

Assignments 15

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Assignment

t-test assignment t-test assignment 1 16

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Linear models

Linear models Linear models

Context Module Sub Header

Readings 2

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Attachment

Kachigan Chapter 4.pdf Kachigan Chapter 4.pdf 3

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External Url

PSU course on regression methods PSU course on regression methods 4

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Attachment

Sonderegger rmld_v1.1.pdf Sonderegger rmld_v1.1.pdf 5

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External Url

Is R-squared useless? Is R-squared useless? 6

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External Url

UCLA Stats Page: R Library Contrast Coding Systems for categorical variables UCLA Stats Page: R Library Contrast Coding Systems for categorical variables 8

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Attachment

Notes on Factor Coding Notes on Factor Coding 9

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Context Module Sub Header

Data sets and R scripts 10

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Attachment

engCVC.csv engCVC.csv 12

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Attachment

lm2 linear regression '26.pdf lm2 linear regression '26.pdf 13

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Attachment

lm3 variable coding '26.pdf lm3 variable coding '26.pdf 14

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Context Module Sub Header

Assignments 16

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Assignment

Linear models assignment Linear models assignment 1 17

assignment 1537813 1

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Linear mixed effects models

Linear mixed effects models Linear mixed effects models

Attachment

Note on back transforming coefficients of linear models with scaled variables Note on back transforming coefficients of linear models with scaled variables 1

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Context Module Sub Header

Readings 6

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Attachment

Barr et al (2013).pdf Barr et al (2013).pdf 7

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External Url

Bates et al (2018) Bates et al (2018) 8

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Attachment

Brauer_and_Curtin_LMEMs-2017-Psych_Methods.pdf Brauer_and_Curtin_LMEMs-2017-Psych_Methods.pdf 9

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External Url

Clark (1973) The language-as-fixed-effect fallacy: A critique of language statistics in psychological research Clark (1973) The language-as-fixed-effect fallacy: A critique of language statistics in psychological research 10

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Attachment

Raaijmakers et al (1999) How to Deal with “The Language-as-Fixed-Effect Fallacy” Raaijmakers et al (1999) How to Deal with “The Language-as-Fixed-Effect Fallacy” 11

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Attachment

Luke 2017.pdf Luke 2017.pdf 12

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Attachment

Matuschek et al (2017).pdf Matuschek et al (2017).pdf 13

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External Url

Seedorff et al (2019 Seedorff et al (2019 14

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External Url

Schad et al. (2020) How to capitalize on a priori contrasts in linear (mixed) models: A tutorial Schad et al. (2020) How to capitalize on a priori contrasts in linear (mixed) models: A tutorial 15

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Context Module Sub Header

Slides 19

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Attachment

lm4 linear mixed effects models '26.pdf lm4 linear mixed effects models '26.pdf 20

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Attachment

lm5 linear mixed effects models 2 '26.pdf lm5 linear mixed effects models 2 '26.pdf 21

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Phonotactics in the lexicon

Phonotactics in the lexicon Phonotactics in the lexicon

Context Module Sub Header

Loglinear models (Poisson regression) 1

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Attachment

Pierrehumbert 1993 Dissimilarity in the Arabic Verbal Roots Pierrehumbert 1993 Dissimilarity in the Arabic Verbal Roots 3

attachment 1515762 0

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Frisch, Broe and Pierrehumbert (2004) Frisch, Broe and Pierrehumbert (2004) 4

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Frisch and Zawaydeh (2001) Frisch and Zawaydeh (2001) 5

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Coetzee and Pater (2008) Coetzee and Pater (2008) 6

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Wilson and Obdeyn (2009) Wilson and Obdeyn (2009) 7

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External Url

Fisher's exact test: the lady tasting tea Fisher's exact test: the lady tasting tea 8

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External Url

Regression Models with Count Data Regression Models with Count Data 9

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Context Module Sub Header

Logistic regression 10

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Attachment

TurkishNouns.txt TurkishNouns.txt 12

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Attachment

Becker, Ketrez and Nevins (2011).pdf Becker, Ketrez and Nevins (2011).pdf 13

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Context Module Sub Header

Slides 14

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Attachment

Loglinear models, part 1 (Mar 4 slides) Loglinear models, part 1 (Mar 4 slides) 15

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Measuring perceptual similarity

Measuring perceptual similarity Measuring perceptual similarity

Context Module Sub Header

Readings 1

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Attachment

Benki (2003).pdf Benki (2003).pdf 2

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External Url

Cutler et al (2004) Cutler et al (2004) 3

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External Url

de Carlo (1998) de Carlo (1998) 4

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External Url

Heeger (2007) Heeger (2007) 5

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Attachment

Hautus, MacMillan & Creelman 'Detection Theory: A Users Guide Hautus, MacMillan & Creelman 'Detection Theory: A Users Guide 6

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Attachment

Kochetov & So (2007).pdf Kochetov & So (2007).pdf 7

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Luce (1963).pdf Luce (1963).pdf 8

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Redford & Diehl (1999).pdf Redford & Diehl (1999).pdf 9

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Tversky (1977).pdf Tversky (1977).pdf 10

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External Url

Grant McGuire's Brief Primer Grant McGuire's Brief Primer 11

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Context Module Sub Header

Detection Theory 12

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redford-diehl-exp1.csv redford-diehl-exp1.csv 20

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Attachment

redford-diehl-stops.csv redford-diehl-stops.csv 21

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Context Module Sub Header

Luce's Biased Choice Model 23

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Attachment

kochetov-so-exp1-all-bylg.csv kochetov-so-exp1-all-bylg.csv 27

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Attachment

kochetov-so-exp1-ed-bylg.csv kochetov-so-exp1-ed-bylg.csv 28

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Context Module Sub Header

Discrimination experiments 30

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Praat resources

Praat resources Praat resources

External Url

Mitterer's Praat scripts Mitterer's Praat scripts 1

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External Url

Northwestern Speech Communication Group Praat scripts Northwestern Speech Communication Group Praat scripts 2

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rms_equalize.praat_script rms_equalize.praat_script 3

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save_all_selected.praat save_all_selected.praat 4

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Course Modules

General

Introduction

Edward's glides and vowels data 1

Readings 8

Slides 13

Assignments 15

Linear models

Readings 2

Data sets and R scripts 10

Assignments 16

Linear mixed effects models

Readings 6

Slides 19

Phonotactics in the lexicon

Loglinear models (Poisson regression) 1

Logistic regression 10

Slides 14

Measuring perceptual similarity

Readings 1

Detection Theory 12

Luce's Biased Choice Model 23

Discrimination experiments 30

Praat resources