About This Chapter
Michigan Merit Exam: Scientific Research Methods - Chapter Summary
Think like a scientist with the help of this scientific research methods study chapter. Learn to gather data, test your hypotheses, and draw well-reasoned conclusions. The more knowledge you accumulate, the easier it may be to correctly answer related questions on the Michigan Merit Science Exam. Topics in this chapter include:
- Definition of scientific research
- The scientific method
- Research methods
- Variables in research: dependent, independent, control, extraneous, and moderator
- Formulation of hypothesis
- Scientific tools for tests and data collection
- Inductive reasoning
- Deductive reasoning
- Data evaluation: the difference between accuracy and precision
- Evaluation of research to draw conclusions
In addition to watching our engaging video lessons, you can read the video transcripts to increase your comprehension of the material. The interactive video timeline feature allows you to skip directly to the video topics you most need to see again. Our teachers are available to answer your questions when you fill out the form under the teacher tab, and the quizzes and practice exams will help ensure you are retaining the subject matter for test day.
Michigan Merit Exam: Scientific Research Methods Objectives
The Michigan Department of Education administers the three-part Michigan Merit Exam every year to test the academic progress of 11th-grade public school students in the state. Two of the three parts of the exam contain science tests that this chapter can help you prepare for. The ACT Plus Writing test is a paper-based exam. The science session of this test is 35-minutes-long and is composed of 40 multiple-choice questions. The Michigan-made (and computer-based) M-Step test has an untimed science session. You may complete the M-Step test in under one hour.
1. What is Scientific Research?
This lesson will discuss important components of scientific research, including the scientific method, peer review, statistical significance, and more!
2. The Scientific Method: Steps, Terms & Examples
The scientific method is more than just hypotheses and experiments. In this lesson, we'll explore the themes and variations that make up the world of science.
3. What Are The Different Kinds of Research Methods?
This lesson will go over some important research methods, including observation, correlation, and experimentation, as well as examples of each type of methodology.
4. Research Variables: Dependent, Independent, Control, Extraneous & Moderator
This lesson explores the terminology of experimental design. What are variables? How do they influence each other? Is it possible that you are seeing connections that don't actually exist?
5. Formulating the Research Hypothesis and Null Hypothesis
After figuring out what you want to study, what is the next step in designing a research experiment? You, the researcher, write a hypothesis and null hypothesis. This lesson explores the process and terminology used in writing a hypothesis and null hypothesis.
6. Using Appropriate Tools for Scientific Tests & Data Collection
A properly run experiment depends on using the right tools, both for data collection and analysis. In the end, it will save you time, money and frustration to spend some time planning out which tools are most appropriate for your work.
7. Inductive vs. Deductive Reasoning: Differences & Examples
This lesson explores the difference between inductive and deductive reasoning in the form of psychological experiments. In addition to defining these terms, the lesson gives examples to explain how this reasoning is applied.
8. Evaluating Data: Precision, Accuracy & Error
The data you present as a scientist need 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.
9. Analyzing, Applying, and Drawing Conclusions From Research to Make Recommendations
In this lesson, we'll explore how companies analyze, apply and draw conclusions from research to solve problems. Learn how effective recommendations can help a business survive and thrive.
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