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Quantitative methods in linguistics

Quantitative methods in linguistics

자료유형
단행본
개인저자
Johnson, Keith , 1958-.
서명 / 저자사항
Quantitative methods in linguistics / Keith Johnson.
발행사항
Malden, MA :   Blackwell Pub. ,   2008.  
형태사항
xv, 277 p. : ill. ; 23 cm.
ISBN
9781405144247 (hardcover : alk. paper) 1405144246 (hardcover : alk. paper) 9781405144254 (pbk. : alk. paper) 1405144254 (pbk. : alk. paper)
서지주기
Includes bibliographical references (p. [270]-272) and index.
일반주제명
Linguistics -- Statistical methods.
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010 ▼a 2007045515
020 ▼a 9781405144247 (hardcover : alk. paper)
020 ▼a 1405144246 (hardcover : alk. paper)
020 ▼a 9781405144254 (pbk. : alk. paper)
020 ▼a 1405144254 (pbk. : alk. paper)
035 ▼a (KERIS)REF000013672269
040 ▼a DLC ▼c DLC ▼d BAKER ▼d C#P ▼d YDXCP ▼d DLC ▼d 211009
050 0 0 ▼a P138.5 ▼b .J64 2008
082 0 0 ▼a 401.2/1 ▼2 22
082 0 4 ▼a 410.21 ▼2 22
090 ▼a 410.21 ▼b J67q
100 1 ▼a Johnson, Keith , ▼d 1958-.
245 1 0 ▼a Quantitative methods in linguistics / ▼c Keith Johnson.
260 ▼a Malden, MA : ▼b Blackwell Pub. , ▼c 2008.
300 ▼a xv, 277 p. : ▼b ill. ; ▼c 23 cm.
504 ▼a Includes bibliographical references (p. [270]-272) and index.
650 0 ▼a Linguistics ▼x Statistical methods.
945 ▼a KINS

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 중앙도서관/서고6층/ 청구기호 410.21 J67q 등록번호 111466809 도서상태 대출가능 반납예정일 예약 서비스 B M
No. 2 소장처 중앙도서관/서고6층/ 청구기호 410.21 J67q 등록번호 111571424 도서상태 대출가능 반납예정일 예약 서비스 B M

컨텐츠정보

저자소개

Keith Johnson(지은이)

정보제공 : Aladin

목차

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 Binomial Distribution.

5.2.1 Bush or Kerry?.

5.3 An Aside about Maximum Likelihood Estimation.

5.4 Logistic Regression.

5.5 An Example from the [∫]treets of Columbus.

5.5.1 On the Relationship between x2 and G2.

5.5.2 More than One Predictor.

5.6 Logistic Regression as Regression: An Ordinal Effect - Age.

5.7 Varbrul/R Comparison.

Exercises.

6. Historical Linguistics.

6.1 Cladistics: Where Linguistics and Evolutionary Biology Meet.

6.2 Clustering on the Basis of Shared Vocabulary.

6.3 Cladistic Analysis: Combining Character-Based Subtrees.

6.4 Clustering on the Basis of Spelling Similarity.

6.5 Multidimensional Scaling: A Language Similarity Space.

Exercises.

7. Syntax.

7.1 Measuring Sentence Acceptability.

7.2 A Psychogrammatical Law?.

7.3 Linear Mixed Effects in the Syntactic Expression of Agents in English.

7.3.1 Linear Regression: Overall, and Separately by Verbs.

7.3.2 Fitting a Linear Mixed-Effects Model: Fixed and Random Effects.

7.3.3 Fitting Five More Mixed-Effects Models: Finding the Best Model.

7.4 Predicting the Dative Alternation: Logistic Modeling of Syntactic Corpora Data.

7.4.1 Logistic Model of Dative Alternation.

7.4.2 Evaluating the Fit of the Model.

7.4.3 Adding a Random Factor: Mixed Effects Logistic Regression.

Exercises.

Appendix 7A.

References.

Index


정보제공 : Aladin

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