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.…mehr
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.
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.
Inhaltsangabe
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
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
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