Statistical techniques for the study of language and language behaviour /

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Rietveld, Toni, 1949-
Otros Autores: Hout, Roeland van
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin ; New York : Mouton de Gruyter, 1993.
Temas:
Linguistics > Statistical methods.
Linguistique > Méthodes statistiques.
LANGUAGE ARTS & DISCIPLINES > Linguistics > Historical & Comparative.
Linguistics > Statistical methods
Taalwetenschap.
Statistische methoden.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Acknowledgements
  • Permission of reproduction
  • 1 Statistics and the study of language behaviour
  • 1.1 The structure of the book
  • 1.2 Basic statistical concepts
  • 1.3 A few preliminary remarks
  • 1.4 Other techniques
  • 1.5 Language statistics
  • 2 Analysis of variance
  • 2.1 Introduction
  • 2.2 A simple example
  • 2.3 One-way analysis of variance
  • 2.4 Testing effects: the F distribution
  • 2.5 Multi-factorial designs and interaction
  • 2.6 Random and fixed factors
  • 2.7 Testing effects in a two-factor design
  • 2.8 The interpretation of interactions2.9 Summary of the procedure
  • 2.10 Other design types
  • 2.11 A hierarchical three-factor design
  • 2.12 Simple main effects
  • 2.13 Post hoc comparisons and contrasts
  • 2.14 Strength of association
  • 2.15 Strange F ratios: testing hypotheses made difficult
  • 2.16 Pooling and unequal cell frequencies
  • 2.17 Overview of the steps in an analysis of variance
  • 3 Multiple regression
  • 3.1 Introduction
  • 3.2 Simple regression
  • 3.3 Tests of significance
  • 3.4 Two independent variables
  • 3.5 Selecting a model
  • 3.6 Multicollinearity3.7 Coding nominal independent variables
  • 3.8 Comparing regression lines
  • 3.9 Measurement and specification errors
  • 4 More ANOVA and MR: assumptions and alternatives
  • 4.1 Introduction
  • 4.2 Assumptions in analysis of variance
  • 4.3 Homoscedasticity
  • 4.4 The impact of transformations
  • 4.5 Unbalanced designs: unequal cell frequencies
  • 4.6 Repeated measures and MANOVA
  • 4.7 A nonparametric alternative: randomization tests
  • 4.8 Bootstrapping
  • 4.9 Assumptions in linear multiple regression
  • 4.10 Plots and diagnostics
  • 4.11 Outliers and influential observations4.12 Linearizing transformations
  • 4.13 Time series analysis
  • 4.14 Alternative regression techniques
  • 5 Reliability and agreement among raters
  • 5.1 Introduction
  • 5.2 Reliability: true scores and the error component
  • 5.3 Interrater reliability
  • 5.4 Interrater agreement
  • 5.5 Intrarater reliability and agreement
  • 6 Introductory matrix algebra
  • 6.1 Introduction
  • 6.2 Matrices and vectors
  • 6.3 Matrix operations
  • 6.4 Three applications
  • 6.5 Some special matrices
  • 6.6 Some key concepts in matrix algebra6.7 Some matrix operations for statistical data
  • 7 Factor analysis
  • 7.1 Introduction
  • 7.2 Dimensionality reduction
  • 7.3 Axis rotation and linear tranformation
  • 7.4 Criteria for dimensionality reduction
  • 7.5 The role of eigenvalues in principal component analysis
  • 7.6 Loadings
  • 7.7 A PC analysis with SPSS: the two-variable example
  • 7.8 Principal component analysis or factor analysis?
  • 7.9 How many factors/components are to be retained?
  • 7.10 Which factor loadings are significant?
  • 7.11 Data problems

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