Rövid leírás:

This book provides experienced and novice researchers with a broad coverage of the use of judgments as an elicitation tool for second language research. The book includes an historical overview as well as a practical approach to collecting and analyzing second language judgment data.

Hosszú leírás:

Synthesizing the theory behind and methodology for conducting judgment tests, Using Judgments in Second Language Acquisition Research aims to clarify the issues surrounding this method and to provide best practices in its use. The text is grounded on a balanced and comprehensive background of the usage of judgment data in the past up through its present-day applications. SLA researchers and graduate students will find useful a chapter serving as a "how-to" guide for a variety of situations to conduct research using judgments, including ways to optimize task design and examples from successful studies. Lucid and practical, Using Judgments in Second Language Acquisition Research offers guidance on a method widely used by SLA researchers, both old and new to the field.

"[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 Linguistics

Tartalomjegyzék:

Table of Contents

?

Preface

Acknowledgments

Chapter 1: Judgment Data in Linguistic Research

1. Introduction

2. Judgment Data in Linguistics

3. Conclusion

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

1. Introduction








2. Frameworks

3. Knowledge Types

4. Specific Constructs

5. Additional Research Areas

6. What languages Have Been Used?

7. Proficiency Levels

8.. Conclusion

1. Introduction

2. Design Features

3. Other Considerations

4. Data Sharing

5. Conclusion

1. Introduction








2. 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

1. Introduction








2. 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