About This Chapter
Formulating Scientific Questions - Chapter Summary
Use the lessons in this chapter to review the processes involved in conducting scientific research. You'll take another look at which factors to consider when developing a hypothesis and briefly examine the research methods used to collect scientific data in the real world. Our experienced instructors also outline the basic requirements for a scientific experiment and explain the significance of controls.
The second half of the chapter is designed to help you re-examine the uses of qualitative and quantitative research data as well as the methodical nature of scientific inquiry. You'll also get practice determining the various hypotheses that can be tested when given a particular experiment design. Topics of instruction include:
- Scientific hypotheses
- Observational research
- The scientific method
- Experimental design
- Research data
Our instructors' conversational teaching style makes it easy to study the nature of scientific questioning, regardless of whether you watch the engaging video lessons or scan the matching transcripts. Both formats allow you to work at your own pace, and the multiple-choice lesson quizzes and chapter test can be used to review each lesson's key terms and concepts.
1. Developing a Scientific Hypothesis
This video describes how to create a hypothesis and includes the three main things needed to create a strong hypothesis. You'll learn how to make a clear statement that can be both tested and measured.
2. How Observational & Field Research Are Used to Collect Data
Psychologists have many different options for where and how to do research. Watch this video to learn more about the difference in field and lab research and the advantages and disadvantages of observational research
3. The Iterative Nature of the Scientific Method
The scientific method is a process of steps that scientists follow, but as you move through them you may want to repeat or revisit specific ones. In this way, we can see how both the scientific method and its components are iterative.
4. 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.
5. 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.
6. Identifying Potential Hypotheses from a Given Experiment
Experimental designs are dependent on good hypotheses. But we can also look at it the other way and identify a hypothesis from an experiment. In this lesson, we'll work through this process, showing you how to dissect an experiment to identify what is being tested.
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Other chapters within the CSET Physics Subtest III: Practice and Study Guide course
- Scientific Inquiry
- Planning a Scientific Investigation
- Observation and Data Collection
- Data Analysis and Graphing
- Drawing and Explaining Conclusions
- Safety During Science Experiments
- Scientific Ethics
- Motion and Newton's Laws
- Kinematic Equations in Physics
- Properties of Rotational Motion
- Linear Momentum Principles
- Work, Energy and Power
- Heat and Thermodynamics
- Characteristics of Waves
- Electrical & Magnetic Forces
- Electric Potential & Capacitance
- Physics Circuits
- Magnetic Forces and Fields
- Quantum Mechanics and the Standard Model
- Science Literacy
- Diversity in Science
- Historical Perspectives in Physics
- Science, Technology and Beliefs