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This user-friendly guide introduces students of translation and interpreting studies to the strengths and limitations of quantitative research methods. In five sections, the authors cover: sampling techniques, measurement, and survey design; how to describe data; how to analyze differences; how to analyze relationships and how to interpret results. With extensive examples from published empirical work, key topics include: ethics, sampling, validity and reliability, types of data and error, robustness, and limitations. This is the essential primer on quantitative methods for all students and researchers in translation and interpreting studies.
List of contents
List of Figures
List of Tables
Acknowledgements
Introduction to the Volume
Part I – Preparing
Chapter 1: Research Questions, Hypotheses, and Design
Chapter 2: Sampling and Ethics
Chapter 3: Measurement
Part II – Describing
Chapter 4: Descriptive Statistics
Chapter 5: Probability Distributions
Chapter 6: Statistical Terminology and One-Sample Tests
Part III – Analyzing Differences
Chapter 7: Comparing Two Groups
Chapter 8: Comparing Multiple Groups
Chapter 9: Comparing Groups on Multiple Factors
Chapter 10: Testing Categorical Data
Part IV – Analyzing Relationships
Chapter 11: Correlation and Reliability
Chapter 12: Linear Regression
Part V – Interpreting Results
References
Appendix A: Guide to selecting a statistical test
About the author
Christopher D. Mellinger is Assistant Professor of Spanish at Walsh University, USA and the managing editor of the journal Translation and Interpreting Studies.
Thomas A. Hanson is Assistant Professor of Finance at Minnesota State University Moorhead, USA.
