Quantitative research methods in translation and interpreting studies

Quantitative Research Methods in Translation and Interpreting Studies encompasses all stages of the research process that include quantitative research methods, from conceptualization to reporting. In five parts, the authors cover: • sampling techniques, measurement, and survey design; • how to describe data; • how to analyze differences; • how to analyze relationships; • how to interpret results. Each part includes references to additional resources and extensive examples from published empirical work. A quick reference table for specific tests is also included in the appendix. This user-friendly guide is the essential primer on quantitative methods for all students and researchers in translation and interpreting studies. Accompanying materials are available online, including step-by-step walkthroughs of how analysis was conducted, and extra sample data sets for instruction and self study: **https://www.routledge.com/9781138124967**. Further resources for Translation and Interpreting Studies are available on the Routledge Translation Studies Portal: http://cw.routledge.com/textbooks/translationstudies. Content: List of FiguresList of TablesAcknowledgementsIntroduction to the VolumePart I - PreparingChapter 1: Research Questions, Hypotheses, and DesignChapter 2: Sampling and EthicsChapter 3: MeasurementPart II - DescribingChapter 4: Descriptive StatisticsChapter 5: Probability DistributionsChapter 6: Statistical Terminology and One-Sample TestsPart III - Analyzing DifferencesChapter 7: Comparing Two GroupsChapter 8: Comparing Multiple GroupsChapter 9: Comparing Groups on Multiple FactorsChapter 10: Testing Categorical DataPart IV - Analyzing RelationshipsChapter 11: Correlation and ReliabilityChapter 12: Linear RegressionPart V - Interpreting ResultsReferencesAppendix A: Guide to selecting a statistical test This volume encompasses all stages of the research process that include quantitative research methods, from conceptualization to reporting. In five parts, the authors explore: sampling techniques, measurement, and survey design; how to describe data; how to analyze differences; how to analyze relationships; and how to interpret results