This contribution to the methodology series focuses on two ways to analyze large data sets. The authors welcome comments from all readers who have suggestions about the way information is presented or questions about the content of this column. It is not comprehensive and does not replace information found in textbooks or peer-reviewed articles. Beyond their experience, the authors have used textbooks and articles as sources and recommend that you also refer to them for more detailed explanations of what is discussed in this column.
Understanding Evidence-Based Research Methods: Survey Analysis, t-Tests, and Odds Ratios
More like this
- Understanding Evidence-Based Research Methods: Challenges and Considerations in the Analysis of Survey Data
- Understanding Evidence-Based Research Methods: Developing and Conducting Effective Surveys
- Understanding Evidence-Based Research Methods: Reliability and Validity Considerations in Survey Research
- Understanding Evidence-Based Research Methods: Pilot Testing Surveys



