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Statistics for linguistics : a step-by-step guide for novices /

Linguists with no background in statistics will find this book to be an accessible introduction to statistics. Concepts are explained in non-technical terms, and mathematical formulas are kept to a minimum. The book incorporates SPSS, which is a statistics package that incorporates a point and click...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Eddington, David (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cambridge : Cambridge Scholars Publishing, 2015.
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Eddington, David,  |e author. 
245 1 0 |a Statistics for linguistics :  |b a step-by-step guide for novices /  |c David Eddington. 
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505 8 |a 2.5 Visualizing the Data2.6 Normal Distribution; 2.7 Reporting Descriptive Statistics; 2.8 Inferential Statistics; 2.9 Using SPSS to Make Boxplots of Confidence Intervals; 2.10 Hands-On Exercises for Descriptive and Inferential Statistics; 3.1 Using SPSS to Generate Scatter Plots; 3.2 Pearson Correlation Coefficient; 3.3 Using SPSS to Calculate Pearson Correlation; 3.4 Statistical Significance of a Correlation; 3.5 One-Tailed or Two?; 3.6 Reporting the Results of a Correlation; 3.7 Variance and r2; 3.8 Correlation Doesn't Mean Causation; 3.9 Assumptions of Correlation. 
505 8 |a 3.10 Parametric versus Nonparametric Statistics3.11 Data Transformation; 3.12 Recipe for a Correlation; 3.13 Hands-On Exercises for Correlation; 4.1 Goodness of Fit Chi-Square; 4.2 Chi-Square Test of Independence; 4.3 Assumptions of Chi-Square; 4.4 Recipe for a Chi-Square; 4.5 Hands-On Exercises for Chi-Square; 5.1 Comparing Groups with an Independent T-Test; 5.2 Using SPSS to Perform a Mann-Whitney Test; 5.3 Paired (or Dependent) T-Tests; 5.4 Using SPSS to Perform a Wilcoxon Signed-Rank Test; 5.5 Bootstrapping a T-Test; 5.6 Recipe for an Independent T-Test; 5.7 Recipe for a Paired T-Test. 
505 8 |a 5.8 Hands-On Activities for T-Tests6.1 One-Way ANOVA; 6.2 Welch's ANOVA; 6.3 Factorial ANOVA; 6.4 Repeated Measures ANOVA; 6.5 Bootstrapping in ANOVA; 6.6 Recipe for a One-Way ANOVA; 6.7 Recipe for a Factorial ANOVA; 6.8 Hands-On Exercises for One-Way ANOVA; 6.9 Hands-On Exercise for Factorial ANOVA; 7.1 Simple Regression; 7.2 Multiple Linear Regression; 8.1 Fixed Variables and Random Factors; 8.2 Random Intercept; 8.3 Random Slope; 8.4 Covariance Structures and the G Matrix in a Random Effects Model; 8.5 Repeated Effect; 8.6 Simple Example of a Mixed-Effects Model. 
505 8 |a 8.7 A Closer Look at the R and G Matrices8.8 Using SPSS to Run a Mixed-Effects Model with a Random Slope and a Repeated Effect; 8.9 Example of a Mixed-Effects Model with Random Effects for Subject and Item; 8.10 Testing the Assumptions of a Mixed-Effects Model; 8.11 More about Using the Syntax Editor; 8.12 Recipe for a Mixed-Effects Model; 8.13 Hands-On Exercises for Mixed-Effects Models; 9.1. Binomial Logistic Regression; 9.2 Assumptions of Logistic Regression; 9.3 Reporting the Results of a Mixed-Effects Logistic Regression; 9.4 Multinomial Logistic Regression. 
520 |a Linguists with no background in statistics will find this book to be an accessible introduction to statistics. Concepts are explained in non-technical terms, and mathematical formulas are kept to a minimum. The book incorporates SPSS, which is a statistics package that incorporates a point and click interface rather than complex line-commands. Step-by-step instructions are provided for some of the most widely used statistics in linguistics. At the same time, the concepts behind each procedure are also explained. Traditional analyses such as ANOVA and t-tests are included in the book, but lingu. 
504 |a Includes bibliographical references (pages 165-167) and index. 
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650 0 |a Linguistics  |x Statistical methods. 
650 6 |a Linguistique  |x Méthodes statistiques. 
650 7 |a LANGUAGE ARTS & DISCIPLINES  |x Linguistics  |x Historical & Comparative.  |2 bisacsh 
650 7 |a Linguistics  |x Statistical methods  |2 fast 
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