About This Chapter
Basics of Health Science Research - Chapter Summary
This comprehensive overview of the basics of health science research is designed to enhance your knowledge of types of data analysis and how to make scientific observations, evaluations and hypotheses. Learn about scientific tools, how to read and construct graphs and ways to draw logical conclusions from experimental data. Upon completion of this chapter, you will be prepared to:
- Describe scientific data analysis and techniques of data analysis
- Share ways to draw conclusions based on internal validity and evaluate scientific claims and arguments
- Explain how to make scientifically-informed consumer decisions
- Define experimental design in science
- Discuss how scientific observations lead to scientific questioning
- Provide details about how to formulate a viable scientific hypothesis
Lessons in this chapter are available as videos and texts, and they're viewable from your computer or mobile devices. Utilize these lessons and other chapter resources to refresh your knowledge of concepts associated with the basics of health science research. To gauge how well you understand these concepts, feel free to take the short quiz that follows each lesson. A chapter exam is also available to get a broader review of lesson topics.
1. Scientific Data Analysis
Science involves collecting data. But what do you do once is collected? Learn about how to analyze data, including the difference between accuracy and precision.
2. Data Analysis: Techniques & Methods
In this lesson, we'll learn about data analysis. We'll define the two methods of data analysis, quantitative and qualitative, and look at each of their various techniques. The lesson will then conclude with a summary and a quiz.
3. How to Evaluate Scientific Claims & Arguments
When you hear about the new scientific discovery, how can you be sure that it's true? Learn how to evaluate scientific claims and arguments, and then test your new skills with a quiz.
4. Drawing Conclusions Based on Internal Validity
When a researcher gets the results of their study back, how do they know that the independent variable caused the results? In this lesson, we'll look at how internal validity shapes the way researchers draw conclusions about their research.
5. Making Scientifically-Informed Consumer Decisions
Before you buy you next product and service you should read up on whether or not it really works. But don't trust everything you read, even scientific stuff! This lesson gives you a quick run-down of how to make more informed consumer decisions using science.
6. Experimental Design in Science: Definition & Method
What are the requirements of a scientific experiment? How do scientists turn hypotheses into theories and laws? Learn the answers to these questions and more in this lesson on the design of scientific experiments.
7. How Scientific Observations Lead to Scientific Questioning
Scientific observations are a major component of the scientific process because they lead scientists to ask questions about the world around them. These questions may then be refined with continued observation, or they may be tested through experimentation.
8. Formulating a Viable Scientific Hypothesis
Constructing a viable scientific hypothesis involves several different factors. In this lesson, you'll explore what separates a good hypothesis from a bad one and how to identify if your hypothesis has been formulated properly.
9. Scientific Tools and Their Uses
A scientist relies on tools to help make observations, carry out experiments and take measurements. Learn about the scientific tools used in a lab and the advanced tools used by scientists in the life sciences.
10. Evaluating Data: Precision, Accuracy & Error
The data you present as a scientist needs to be as accurate, precise and error-free as possible. In this lesson, we'll discuss what each of these terms means, as well as how error is introduced into measurements and other data collection.
11. Drawing Logical Conclusions from Experimental Data
Experimental results are what scientists like to share with each other, but it's important to understand what those data mean. We do this in the final step of the experimental process, when we draw meaningful conclusions from the results we obtained.
12. How to Read Scientific Graphs & Charts
How do scientists summarize their findings with visual aids? In this lesson, explore the different types of tables, charts and graphs that scientists use. Learn to read these effectively as a preview to your science studies.
13. How to Construct Graphs from Data & Interpret Them
After watching this video, you should be able to explain what a graph is, construct a scatter plot, and interpret scatter plots from scientific data. A short quiz will follow.
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Other chapters within the High School Health Science for Teachers: Help & Review course
- Health Care History, Trends & Impact
- Math Applications in Health Care Science
- Physical Sciences in Health Care
- Medical Abbreviations, Acronyms & Symbols
- Formation of Medical Terms
- Basic Anatomy & Physiology
- Homeostasis & the Human Body
- Digestive & Excretory Systems of the Human Body
- The Skeletal System & Connective Tissue
- Human Nervous, Circulatory & Respiratory Systems
- Biological Development in Psychology
- Microbiology in Health Science
- Pathogens & Disease
- Disease Causes, Control & Prevention
- Public & World Health Issues
- Aging, Health & Family Issues in Society
- Nutritional Information & Needs
- Issues & Disorders Related to Nutrition
- Therapeutic Concepts of Nutrition
- Pharmacological Concepts & Technology
- Mental Health Concepts
- Preventative Health & Wellness
- Medical Technology & Patient Care
- Health Care Safety Policies & Procedures
- Communication in Health Care
- Teamwork in the Workplace
- Health Care Education & Career Guidance
- Health Care Legal & Ethical Responsibilities