Research Variables

Summary

Key Points

• —Data in research can be either quantitative, focusing on generalization and numerical comparison, or qualitative, aiming for understanding behavior and identifying themes. 1:07
• —Quantitative data is concerned with discovering facts and can be measured, while qualitative data focuses on understanding behavior and descriptions. 1:13
• —A good research structure includes an objective statement of the problem and a conceptual framework that are aligned. 2:35
• —Research objectives are typically written in paragraph form, while the statement of the problem is itemized into specific research questions. 2:45
• —Points of study in research can involve describing levels, examining relationships, identifying factors, exploring experiences, or testing for differences between groups. 2:58
• —A research matrix should include a skeleton, data gathering procedure, and analysis plan. 4:07
• —Variables in research are specifically categorized into independent and dependent variables. 4:27
• —The conceptual framework serves as the model or skeleton of the research. 4:31
• —When defining variables, they should be SMART: specific, measurable, attainable, realistic, and time-bound. 5:48
• —Simplicity is key in research design, and choosing the right variables is crucial for success. 5:54