Buch, Englisch, 304 Seiten, Format (B × H): 154 mm x 230 mm, Gewicht: 454 g
ISBN: 978-1-4051-4425-4
Verlag: Wiley
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 available in the 'Downloads' section, below
Zielgruppe
advanced undergraduate and early graduate students in linguistics
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Acknowledgments.
Design of the Book.
1. Fundamentals of Quantitative Analysis.
1.1 What We Accomplish in Quantitative Analysis.
1.2 How to Describe an Observation.
1.3 Frequency Distributions: A Fundamental Building Block of Quantitative Analysis.
1.4 Types of Distributions.
1.5 Is Normal Data, Well, Normal?.
1.6 Measures of Central Tendency.
1.7 Measures of Dispersion.
1.8 Standard Deviation of the Normal Distribution.
Exercises.
2. Patterns and Tests.
2.1 Sampling.
2.2 Data.
2.3 Hypothesis Testing.
2.3.1 The Central Limit Theorem.
2.3.2 Score Keeping.
2.3.3 H0: µ = 100.
2.3.4 Type I and Type II Error.
2.4 Correlation.
2.4.1 Covariance and Correlation.
2.4.2 The Regression Line.
2.4.3 Amount of Variance Accounted For.
Exercises.
3. Phonetics.
3.1 Comparing Mean Values.
3.1.1 Cherokee Voice Onset Time: µ1971=µ2001.
3.1.2 Samples Have Equal Variance.
3.1.3 If the Samples Do Not Have Equal Variance.
3.1.4 Paired t Test: Are Men Different from Women?.
3.1.5 The Sign Test.
3.2 Predicting the Back of the Tongue from the Front: Multiple Regression.
3.2.1 The Covariance Matrix.
3.2.2 More than One slope: The bi.
3.2.3 Selecting a Model.
3.3 Tongue Shape Factors: Principal Components Analysis.
Exercises.
4. Psycholinguistics.
4.1 Analysis of Variance: One Factor, More than Two Levels.
4.2 Two Factors: Interaction.
4.3 Repeated Measures.
4.3.1 An Example of Repeated Measures ANOVA.
4.3.2 Repeated Measures ANOVA with a Between-Subjects Factor.
4.4 The “Language as Fixed Effect” Fallacy.
4.5 Exercises.
5. Sociolinguistics.
5.1 When the Data are Counts - Contingency Tables.
5.1.1 Frequency in a Contingency Table.
5.2 Working with Probabilities: The Binomia
