
Using Judgments in Second Language Acquisition Research
Description
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Reviews / Votes
"[T]he book fills an existing gap in the literature of grammaticality judgment tasks. [...] It is commendable that the authors are well-seasoned in the relevant research and researchers can immensely benefit. [... T]he book can be taught at an MA level in applied linguistics programs." - Mohammad Salehi, Sharif University of Technology, in International Journal of Applied LinguisticsMore details
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Persons
Susan M. Gass is University Distinguished Professor at Michigan State University. She has published widely in the field of Second Language Acquisition, including the textbook Second Language Acquisition: An Introductory Course (Routledge), co-authored with Jennifer Behney and Luke Plonsky. She co-edits (with Alison Mackey) the Routledge series on Second Language Acquisition Research.
Content
Preface
Acknowledgments
Chapter 1: Judgment Data in Linguistic Research
1. Introduction
2. Judgment Data in Linguistics
3. Conclusion
Chapter 2: Judgment Data in L2 Research: Historical and Theoretical Perspectives
1. Introduction
2. Judgment Data in Second Language Research
3. L2 Judgment Data: A Brief History
4. What Knowledge is Being Measured?
5. What are Judgment Tasks Used for?
6. Intervening Variables
7. Conclusion
Chapter 3: Uses of Judgments in L2 Research
Introduction
Frameworks
3. Knowledge Types
4. Specific Constructs
5. Additional Research Areas
6. What languages Have Been Used?
7. Proficiency Levels
8.. Conclusion
Chapter 4: A Guide to Using Judgment Tasks in L2 Research
1. Introduction
2. Design Features
3. Other Considerations
4. Data Sharing
5. Conclusion
Chapter 5: Variations on Judgment Tasks
Introduction
Interpretation Tasks
3. Pragmatic Tasks
4. Preference Tasks
5. Error Correction Tasks
6. Multiple-Choice Tasks
7. Judgment Tasks in Combination With Psycholinguistic and Neurolinguistic Measures
8. Many Task Types in One
9. Conclusion
Chapter 6: Analyzing Judgment Data
Introduction
Cleaning the Data
3. Scoring Responses to Binary and Scalar Judgments
4. Scoring Corrections
5. Basic Inferential Statistics With Judgment Data
6. Reporting Individual Results
7. Rasch Analysis
8. Analyzing Likert Scale Data: z-Scores
9. Binary Judgments: d-Prime Scores
10. Analyzing Magnitude Estimation Scores
11. Using Response Time Data
12. Using Judgment Data Results in Conjunction With Other Measures
13. Conclusion
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