Ch 1: MTTC Integrated Science (Secondary): Scientific Research & Data

About This Chapter

Use this chapter to review the scientific method, research methodologies, data analysis and data presentations as you prepare for related questions on the MTTC Integrated Science (Secondary) exam.

MTTC Integrated Science (Secondary): Scientific Research & Data - Chapter Summary

As part of our study guide course for the Michigan Test for Teacher Certification (MTTC) Integrated Science (Secondary) exam, this chapter will help you review methods used in scientific inquiry, data analysis and data presentation. Our professionals instructors will help you prepare for related questions through a series of videos about:

  • Steps and terms of the scientific method
  • Scientific research and types of research methods
  • True experimental research design
  • Research variables and formulating an hypothesis
  • Scientific graphs and charts
  • Different types of maps
  • Descriptive statistics
  • Reliability and validity in scientific research

In addition to watching these videos, you can also read over the text transcripts that present written overviews and highlight key terms and figures of the chapter. Following these lessons take the quizzes to discover subjects you don't understand. Once you feel you have a firm understanding of the material in this chapter, take the practice chapter exam to make sure you know what you need to know about scientific research and data analysis for the MTTC Integrated Science (Secondary) exam.

MTTC Integrated Science (Secondary): Scientific Research & Data Chapter Objectives

The MTTC Integrated Science (Secondary) exam is an exam used in the state of Michigan to measure the scientific knowledge of prospective science teachers seeking certification. This certification exam includes a series of 100 multiple-choice questions that can be taken as a paper-based test or a computer-based test. Questions on the foundations of scientific inquiry make up about 25% of the test; these questions may include some on scientific research and data analysis.

14 Lessons in Chapter 1: MTTC Integrated Science (Secondary): Scientific Research & Data
Test your knowledge with a 30-question chapter practice test
What is Scientific Research?

1. What is Scientific Research?

This lesson will discuss important components of scientific research, including the scientific method, peer review, statistical significance, and more!

The Scientific Method: Steps, Terms & Examples

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.

What Are The Different Kinds of Research Methods?

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.

The True Experimental Research Design

4. The True Experimental Research Design

You need to set up a true experiment to test a hypothesis and demonstrate a cause and effect relationship. This lesson will teach you how this is accomplished and when you are forced to use other research designs.

Research Variables: Dependent, Independent, Control, Extraneous & Moderator

5. 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?

Formulating the Research Hypothesis and Null Hypothesis

6. 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.

What is a Control Group? - Definition and Use in Research

7. What is a Control Group? - Definition and Use in Research

In research, many times a condition is compared to a group that doesn't receive treatment. In this lesson, we'll look at what a control group is and why it is important.

How to Read Scientific Graphs & Charts

8. 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.

Interpreting Tables of Scientific Data: Practice Problems

9. 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.

Types of Maps: Population, Topographic, Weather, Political & World Maps

10. Types of Maps: Population, Topographic, Weather, Political & World Maps

This lesson will explain the different types of maps used to interpret and study our world. In doing this, it will focus on maps that deal in elevation, population, weather patterns and more.

What Are Descriptive Statistics? - Definition and Uses

11. What Are Descriptive Statistics? - Definition and Uses

This lesson is a simple walk-through of the common types of descriptive statistics and why they are important for understanding psychological research. You will likely be familiar with many of them but some you may not be.

Reliability & Validity in Psychology: Definitions & Differences

12. Reliability & Validity in Psychology: Definitions & Differences

How do validity and reliability contribute to study design in psychology? In this lesson, you'll look at how experiments can fail reliability and validity requirements to get an idea of the challenges behind conducting significant psychological research.

Generalization & External Validity

13. Generalization & External Validity

The point of research is to be able to generalize findings to the world at large. In this lesson, we'll look at three types of generalizing that make up external validity: across subjects, from procedures to constructs, and beyond the lab.

Assessing the Reliability and Validity of Sources

14. Assessing the Reliability and Validity of Sources

In the business world, any research material must have support that can provide validity and reliability. The support must be credible and have documentation to show that it is well-researched, professional, peer-reviewed and recent.

Chapter Practice Exam
Test your knowledge of this chapter with a 30 question practice chapter exam.
Not Taken
Practice Final Exam
Test your knowledge of the entire course with a 50 question practice final exam.
Not Taken

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Other Chapters

Other chapters within the MTTC Integrated Science (Secondary)(094): Practice & Study Guide course

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