About This Chapter
Interpretation of Data - Chapter Summary
Properly using and citing data is a skill anyone with a career in an academic setting will find useful. Use these lessons to review what you need to know about choosing sources and properly organizing data. You will learn how to correctly use different types of data and focus on methods of presenting information. Reading and interpreting data presented in tabular or graphical format will also be covered. When you have completed this chapter, you will be able to do things like:
- Explain the difference between primary and secondary sources
- Differentiate between qualitative and quantitative data
- Reason your way through complex data tables and multi-step problems
- Interpret scientific data presented in the form of a graph
- Identify how data mapping can be most effectively used in a paper or finding
Every lesson in this chapter was created with accuracy, convenience and ease-of-use in mind. Video lessons, with included transcripts, help you quickly review the material. Self-assessment quizzes provide you with a resource to find out how much you remember from the lesson or from previous studies. All of these lessons can be accessed from a variety of devices. The Dashboard in your account makes it easy to pick up right where you left off.
1. What is a Primary Source? - Definition & Examples
Let's explore primary sources. In this lesson, learn about first hand materials as primary sources. And then, begin to analyze and determine if a document, information, or object is a primary source.
2. Secondary Source: Definition & Examples
What are secondary sources? Read this lesson to learn about these materials. You'll also find out how to determine whether or not a source is secondary.
3. Qualitative vs. Quantitative Data in Various Research Methods
Qualitative data and quantitative data are both useful in research, but it is important to understand the differences between the two. Learn how to differentiate the two types of data in this lesson.
4. Interpreting Tables of Scientific Data: Practice Problems
Complex table problems getting you down? Multi-question, situational problems don't have to be a drag on your testing performance. Learn how to apply three simple rules as we walk through two table problems together.
5. Interpreting Graphs and Charts of Scientific Data: Practice Problems
Do charts and graphs make problem-solving difficult? Complex problems with visual representations can drain your brain during a test. In this lesson, learn three simple rules for solving problems with charts and graphs. We'll try them out as we walk through two sample problems.
6. Data Mapping: Tools & Best Practices
This lesson will provide a basic understanding of what is involved in data mapping and why it is needed. It will also assist the student in understanding how data mapping can resolve issues that arise in data re-use situations.
Earning College Credit
Did you know… We have over 200 college courses that prepare you to earn credit by exam that is accepted by over 1,500 colleges and universities. You can test out of the first two years of college and save thousands off your degree. Anyone can earn credit-by-exam regardless of age or education level.
To learn more, visit our Earning Credit Page
Transferring credit to the school of your choice
Not sure what college you want to attend yet? Study.com has thousands of articles about every imaginable degree, area of study and career path that can help you find the school that's right for you.
Other chapters within the UGC NET General Paper on Teaching & Research Aptitude: Exam Prep course
- Learning Styles & Effective Teaching
- Student Evaluation Systems
- Research Methodologies for Educators
- Reading Passage Construction & Comprehension
- Communication & Media in the Classroom
- Reasoning, Analogies & Logic
- Information & Computer Technology
- People & the Environment
- Higher Education & Governance in India
- UGC NET General Paper on Teaching & Research Aptitude Flashcards