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Statistical techniques for the study of language and language behaviour /

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:
Acceso en línea:Texto completo

MARC

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037 |n Title subscribed to via ProQuest Academic Complete 
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050 4 |a P138.5  |b .R54 1993 
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100 1 |a Rietveld, Toni,  |d 1949- 
245 1 0 |a Statistical techniques for the study of language and language behaviour /  |c Toni Rietveld, Roeland van Hout. 
246 3 |a Statistical techniques for the study of language and language behavior 
260 |a Berlin ;  |a New York :  |b Mouton de Gruyter,  |c 1993. 
300 |a 1 online resource (xi, 400 pages) :  |b illustrations 
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504 |a Includes bibliographical references and index. 
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588 0 |a Print version record. 
505 0 |a 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 
505 8 |a 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 
505 8 |a 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 
505 8 |a 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 
505 8 |a 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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650 1 7 |a Statistische methoden.  |2 gtt 
700 1 |a Hout, Roeland van. 
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