Quantitative Methods in Linguistics

ISBN-10: 1405144254
ISBN-13: 9781405144254
Edition: 2008
Authors: Keith Johnson
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Description: "Quantitative Methods in Linguistics" offers a practical introduction to statistics and quantitative analysis with data sets drawn from the field and coverage of phonetics, psycholinguistics, sociolinguistics, historical linguistics, and syntax, as  More...

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Book details

List price: $61.95
Copyright year: 2008
Publisher: John Wiley & Sons, Incorporated
Publication date: 3/17/2008
Binding: Paperback
Pages: 296
Size: 6.00" wide x 9.00" long x 1.00" tall
Weight: 0.968
Language: English

"Quantitative Methods in Linguistics" offers a practical introduction to statistics and quantitative analysis with data sets drawn from the field and coverage of phonetics, psycholinguistics, sociolinguistics, historical linguistics, and syntax, as well as probability distribution and quantitative methods. Provides balanced treatment of the practical aspects of handling quantitative linguistic data Includes sample datasets contributed by researchers working in a variety of sub-disciplines of linguistics Uses R, the statistical software package most commonly used by linguists, to discover patterns in quantitative data and to test linguistic hypotheses Includes student-friendly end-of-chapter assignments and is accompanied by online resources at www.blackwellpublishing.com/quantmethods.

Acknowledgments
Design of the Book
Fundamentals of Quantitative Analysis
What We Accomplish in Quantitative Analysis
How to Describe an Observation
Frequency Distributions: A Fundamental Building Block of Quantitative Analysis
Types of Distributions
Is Normal Data, Well, Normal?
Measures of Central Tendency
Measures of Dispersion
Standard Deviation of the Normal Distribution
Exercises
Patterns and Tests
Sampling
Data
Hypothesis Testing
The Central Limit Theorem
Score Keeping
H0: A? = 100
Type I and Type II Error
Correlation
Covariance and Correlation
The Regression Line
Amount of Variance Accounted For
Exercises
Phonetics
Comparing Mean Values
Cherokee Voice Onset Time: A?1971=A? 2001
Samples Have Equal Variance
If the Samples Do Not Have Equal Variance
Paired t Test: Are Men Different from Women?
The Sign Test
Predicting the Back of the Tongue from the Front: Multiple Regression
The Covariance Matrix
More than One slope: The bi
Selecting a Model
Tongue Shape Factors: Principal Components Analysis
Exercises
Psycholinguistics
Analysis of Variance: One Factor, More than Two Levels
Two Factors: Interaction
Repeated Measures
An Example of Repeated Measures ANOVA
Repeated Measures ANOVA with a Between-Subjects Factor
The "Language as Fixed Effect" Fallacy
Exercises
Sociolinguistics
When the Data are Counts - Contingency Tables
Frequency in a Contingency Table
Working with Probabilities: The Binomial Distribution
Bush or Kerry?
An Aside about Maximum Likelihood Estimation
Logistic Regression
An Example from the [a<$$$>]treets of Columbus
On the Relationship between x2 and G2
More than One Predictor
Logistic Regression as Regression: An Ordinal Effect - Age
Varbrul/R Comparison
Exercises
Historical Linguistics
Cladistics: Where Linguistics and Evolutionary Biology Meet
Clustering on the Basis of Shared Vocabulary
Cladistic Analysis: Combining Character-Based Subtrees
Clustering on the Basis of Spelling Similarity
Multidimensional Scaling: A Language Similarity Space
Exercises
Syntax
Measuring Sentence Acceptability
A Psychogrammatical Law?
Linear Mixed Effects in the Syntactic Expression of Agents in English
Linear Regression: Overall, and Separately by Verbs
Fitting a Linear Mixed-Effects Model: Fixed and Random Effects
Fitting Five More Mixed-Effects Models: Finding the Best Model
Predicting the Dative Alternation: Logistic Modeling of Syntactic Corpora Data
Logistic Model of Dative Alternation
Evaluating the Fit of the Model
Adding a Random Factor: Mixed Effects Logistic Regression
Exercises
Appendix 7A
References
Index

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