Essential Statistics for Applied Linguistics

Using R or JASP
Kartoniert
(239 Seiten)
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ISBN-13:
9781352007817
Einband:
Kartoniert
Seiten:
239
Autor:
Hanneke Loerts
Format:
23.5x15.5x cm
Sprache:
Englisch
Beschreibung:

Builds skills and confidence through hands-on exercises and examples
Gives clear explanations of statistical and mathematical terms
Supports students using both R and JASP and makes them aware of the conventions, assumptions and limitations of statistical tests
new_to_this_edition
Now focuses on R and JASP, two increasingly popular open source softwares used by linguists
'How To' guides to help students strengthen their understanding and apply what they have learnt available on a companion site
Contains more comprehensive coverage of effect sizes, basic methods, regression theory, relationship studies and non-parametric tests
Preface: How to Use this Book.- PART I.- 1. Types of Research.- 2. Systematicity in Statistics: Variables.- 3. Descriptive Statistics.- 4. Statistical Logic.- 5. Assessing Relationships and Comparing Groups.- 6. Simple and Multiple Linear Regression and Analyses.- 7. Additional Statistics for Group Comparisons.- 8. Summary and Concluding Remarks.- PART II: Practicals in R/RStudio.- Getting Ready to Start Using R and RStudio.- Practical 1: Exploring R and RStudio and Entering Variables (Chapter 2).- Practical 2: Descriptive Statistics (Chapter 3).- Practical 3: Calculations Using R (Chapter 4).- Practical 4: Inductive Statistics (Chapter 5).- Practical 5: Regression/Miscellaneous Assignments (Chapter 5/6).- Practical 6: More Advanced Group Comparisons (Chapter 7).- Practical 7: Exam Practice.- PART II: Practicals in JASP.- Getting Ready to Start Using JASP.- Practical 1: Exploring JASP and Entering Variables (Chapter 2).- Practical 2: Descriptive Statistics (Chapter 3).- Practical 4: Inductive Statistics (Chapter 5).- Practical 5: Regression/Miscellaneous Assignments (Chapter 5/6).- Practical 6: More Advanced Group Comparisons (Chapter 7).- Practical 7: Exam Practice.- References.
Assuming no prior knowledge, this text provides a concise, practical and accessible introduction to using, analysing and interpreting statistics and methodologies in empirical work using R or JASP. It takes an activity-based approach, in which students are first stimulated to consider a problem or question and find their own solution before the conventional way of solving that problem or question is introduced. 'How To' guides on R and JASP, which take students step-by-step through statistical analyses and practical assignments, are available on the book's companion website.

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