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Statistics for Linguists An Introduction Using R 1st Edition by Bodo Winter ISBN 113805609X 9781138056091

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ISBN 10: 113805609X 
ISBN 13: 9781138056091
Author: Bodo Winter

Statistics for Linguists: An Introduction Using R is the first statistics textbook on linear models for linguistics. The book covers simple uses of linear models through generalized models to more advanced approaches, maintaining its focus on conceptual issues and avoiding excessive mathematical details. It contains many applied examples using the R statistical programming environment. Written in an accessible tone and style, this text is the ideal main resource for graduate and advanced undergraduate students of Linguistics statistics courses as well as those in other fields, including Psychology, Cognitive Science, and Data Science.

Statistics for Linguists An Introduction Using R 1st Table of contents:

  • Part 1: Getting Started with R

    • Chapter 1: Welcome to R

      • Why R?

      • Installing R and RStudio

      • The RStudio Interface

      • Basic R Operations

      • Getting Help in R

    • Chapter 2: Data Structures in R

      • Vectors

      • Matrices

      • Data Frames

      • Lists

      • Factors

      • Importing and Exporting Data

  • Part 2: Descriptive Statistics and Data Visualization

    • Chapter 3: Describing Numerical Data

      • Measures of Central Tendency (Mean, Median, Mode)

      • Measures of Dispersion (Variance, Standard Deviation, Range, IQR)

      • Percentiles and Quartiles

    • Chapter 4: Describing Categorical Data

      • Frequency Tables

      • Proportions and Percentages

    • Chapter 5: Data Visualization in R with ggplot2

      • Introduction to ggplot2

      • Histograms and Density Plots

      • Boxplots and Violin Plots

      • Bar Plots

      • Scatter Plots

      • Customizing Plots

  • Part 3: Introduction to Inferential Statistics

    • Chapter 6: Probability and Probability Distributions

      • Basic Probability Concepts

      • Normal Distribution

      • Binomial Distribution

      • Sampling Distributions

    • Chapter 7: Hypothesis Testing Basics

      • What is Hypothesis Testing?

      • Null and Alternative Hypotheses

      • Type I and Type II Errors

      • P-values and Significance Levels

    • Chapter 8: Confidence Intervals

      • Estimating Population Parameters

      • Interpreting Confidence Intervals

  • Part 4: Statistical Tests for Linguistic Data

    • Chapter 9: Comparing Two Groups: t-tests

      • Independent Samples t-test

      • Paired Samples t-test

      • Assumptions of the t-test

      • Non-parametric Alternatives (Wilcoxon Rank-Sum, Wilcoxon Signed-Rank)

    • Chapter 10: Comparing More Than Two Groups: ANOVA

      • One-Way ANOVA

      • Assumptions of ANOVA

      • Post-Hoc Tests

      • Non-parametric Alternative (Kruskal-Wallis)

    • Chapter 11: Analyzing Categorical Data: Chi-Square Test

      • Chi-Square Test of Independence

      • Goodness-of-Fit Test

      • Fisher’s Exact Test

    • Chapter 12: Correlation

      • Pearson Correlation

      • Spearman Rank Correlation

      • Interpreting Correlation Coefficients

    • Chapter 13: Simple Linear Regression

      • Introduction to Regression

      • Fitting a Regression Line

      • Interpreting Regression Coefficients

      • Assumptions of Linear Regression

  • Part 5: Advanced Topics for Linguists

    • Chapter 14: Multiple Linear Regression

      • Adding Predictors

      • Interpreting Multiple Regression Results

      • Model Selection

    • Chapter 15: Logistic Regression

      • Analyzing Binary Outcomes

      • Interpreting Odds Ratios

    • Chapter 16: Mixed-Effects Models (Introduction)

      • Why Mixed Models for Linguistic Data?

      • Random Effects

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Tags: Bodo Winter, Statistics, Linguists