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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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cambridge :
Cambridge Scholars Publishing,
2015.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- 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.
- 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.
- 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.
- 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.