Sinossi
Applied Communication Research Methods: Getting Started as a Researcher demonstrates how to apply concepts to research problems, issues, projects, and questions that communication practitioners face every day. Recognizing that students engage more directly with research methods when they experience research through hands-on practice, authors Michael Boyle and Mike Schmierbach developed this text to demonstrate the relevance of research in professional roles and communication careers.
Along with its distinctive approach to research methods instruction, this text also serves as an enhanced glossary and a superior reference. Students can easily navigate key concepts and terminology, which are linked to practical exercises within the context of the instruction. In-unit activities and features provide numerous opportunities to delve further into topics covered in class, including:
- Research in Depth – examples of a concept being used in scholarly research
- Reflect and React – thought-provoking problems and issues that promote reflection and discussion
- Voices from Industry – Q&As with professionals working in communication industries
- End-of-unit activities – exercises that reinforce concepts and content
Online resources, including sample syllabi, test banks, and more, are available on the companion website: www.routledge.com/cw/boyle.Applied Communication Research Methods is a concise, engaging work that today’s students and industry practitioners will embrace and keep on-hand throughout their careers.
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Contenuti
Unit 1: A Guide to Using the Book and the Basic Principles of Research
Unit 2: Basic Concepts of Research
Unit 3: Theory and Reading Scholarly Research
Unit 4: Ethical Research
Unit 5: Concept Explication
Unit 6: Reliability and Validity
Unit 7: Effective Measurement
Unit 8: Sampling
Unit 9: Experiments
Unit 10: Survey Research
Unit 11: Content Analysis
Unit 12: Qualitative Research
Unit 13: Qualitative Data Analysis
Unit 14: Descriptive Statistics
Unit 15: Principles of Inferential Statistics
Unit 16: Multivariate Inferential Statistics
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