
- English
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eBook - ePub
About this book
This practical text combines social research methods with coverage of statistical analysis to help students develop the applied research skills needed for future careers in public and private organizations, while also delivering a solid foundation for those going on to graduate school.
Throughout the book, the author offers a real-world example and then breaks it down into a decision tree, which helps lead students to a possible statistical decision (rather than starting with the statistic). This text gives students a toolbox of the most common and in-demand skills and demonstrates how those skills can be used to make the best research decisions. The book takes students through the entire real-world research process, from the formation of a research topic to measurement and sampling, to methods for gathering information and making sense of the data, and finally presenting to a non-academic audience in a way that "gets the job done."
Resources for instructors and students are available on an accompanying website for the book.
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Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access A Practical Introduction to Real-World Research by Loreen Wolfer in PDF and/or ePUB format, as well as other popular books in Sozialwissenschaften & Wissenschaftliche Forschung & Methodik. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover
- Half Title
- Publisher Note
- Title Page
- Copyright Page
- Brief Contents
- Detailed Contents
- Preface
- Digital Resources
- Acknowledgments
- About the Author
- Part I Establishing the Issue
- 1 Overview of the Research Process
- 2 Research Topics, Literature Reviews, and Hypotheses
- Part II Setting the Foundation for Observation
- 3 Ethics in Research
- 4 Measurement, Validity, and Reliability
- 5 Sampling
- Part III Methods of Gathering Information
- 6 Experiments
- 7 Survey Research
- 8 Qualitative Approaches and Mixed Methods
- 9 Evaluation Research
- Part IV Making Sense and Presenting the Information
- 10 Preparing Quantitative Data
- 11 Descriptive Statistics
- 12 Confidence Intervals and One-Sample Hypothesis Testing
- 13 Hypothesis Testing with Two or More Samples
- 14 Finding the Degree of Association and Prediction
- 15 Presentation of Data
- 16 Qualitative Data Analysis
- Appendix A: Directions for Statistical Tests in SPSS
- Appendix B: Directions for Statistical Tests in R and the Corresponding Output
- Appendix C: Table of Z-Scores
- Appendix D: Answers to End-of-Chapter Problems1
- Glossary
- References
- Index