Research Techniques Introduction - SlideShare

Posted by 2018 article


A research method is a systematic plan for conducting research. Sociologists draw on a variety of both qualitative and quantitative research methods, including experiments, survey research, participant observation, and secondary data. Quantitative methods aim to classify features, count them, and create statistical models to test hypotheses and explain observations. Qualitative methods aim for a complete, detailed description of observations, including the context of events and circumstances.

An experiment is a research method for investigating cause and effect under highly controlled conditions. When conducting an experiment, researchers will test a hypothesis . A hypothesis is a statement of how two or more variables are related. For example, let's say we wanted to examine whether studying affects a person's GPA. Our hypothesis might be: the more a person studies, the higher a person's GPA will be. In this example, studying would be the independent variable (the cause), while a person's GPA would be the dependent variable (the effect).

If we wanted to test this hypothesis, we would randomly assign subjects into two groups. The experimental group is a group of individuals that are exposed to the independent variable. The control group , on the other hand, is not exposed to the independent variable. We would require that the control group doesn't study at all, but that our experimental group has to study at least 10 hours a week. After one semester, we would then determine which group has the higher GPA. If the experimental group has a statistically higher GPA, we can assume our hypothesis is correct.

A research method is a systematic plan for conducting research. Sociologists draw on a variety of both qualitative and quantitative research methods, including experiments, survey research, participant observation, and secondary data. Quantitative methods aim to classify features, count them, and create statistical models to test hypotheses and explain observations. Qualitative methods aim for a complete, detailed description of observations, including the context of events and circumstances.

An experiment is a research method for investigating cause and effect under highly controlled conditions. When conducting an experiment, researchers will test a hypothesis . A hypothesis is a statement of how two or more variables are related. For example, let's say we wanted to examine whether studying affects a person's GPA. Our hypothesis might be: the more a person studies, the higher a person's GPA will be. In this example, studying would be the independent variable (the cause), while a person's GPA would be the dependent variable (the effect).

If we wanted to test this hypothesis, we would randomly assign subjects into two groups. The experimental group is a group of individuals that are exposed to the independent variable. The control group , on the other hand, is not exposed to the independent variable. We would require that the control group doesn't study at all, but that our experimental group has to study at least 10 hours a week. After one semester, we would then determine which group has the higher GPA. If the experimental group has a statistically higher GPA, we can assume our hypothesis is correct.

Neuroscience is, by definition, a multidisciplinary field: some scientists study genes and proteins at the molecular level while others study neural circuitry using electrophysiology and high-resolution optics. A single topic can be studied using techniques from genetics, imaging, biochemistry, or electrophysiology. Therefore, it can be daunting for young scientists or anyone new to neuroscience to learn how to read the primary literature and develop their own experiments.

This volume addresses that gap, gathering multidisciplinary knowledge and providing tools for understanding the neuroscience techniques that are essential to the field, and allowing the reader to design experiments in a variety of neuroscience disciplines.

Neuroscience graduate students, post-doctoral fellows, experienced researchers new to neuroscience, and senior researchers who want technique updates.

A research method is a systematic plan for conducting research. Sociologists draw on a variety of both qualitative and quantitative research methods, including experiments, survey research, participant observation, and secondary data. Quantitative methods aim to classify features, count them, and create statistical models to test hypotheses and explain observations. Qualitative methods aim for a complete, detailed description of observations, including the context of events and circumstances.

An experiment is a research method for investigating cause and effect under highly controlled conditions. When conducting an experiment, researchers will test a hypothesis . A hypothesis is a statement of how two or more variables are related. For example, let's say we wanted to examine whether studying affects a person's GPA. Our hypothesis might be: the more a person studies, the higher a person's GPA will be. In this example, studying would be the independent variable (the cause), while a person's GPA would be the dependent variable (the effect).

If we wanted to test this hypothesis, we would randomly assign subjects into two groups. The experimental group is a group of individuals that are exposed to the independent variable. The control group , on the other hand, is not exposed to the independent variable. We would require that the control group doesn't study at all, but that our experimental group has to study at least 10 hours a week. After one semester, we would then determine which group has the higher GPA. If the experimental group has a statistically higher GPA, we can assume our hypothesis is correct.

Neuroscience is, by definition, a multidisciplinary field: some scientists study genes and proteins at the molecular level while others study neural circuitry using electrophysiology and high-resolution optics. A single topic can be studied using techniques from genetics, imaging, biochemistry, or electrophysiology. Therefore, it can be daunting for young scientists or anyone new to neuroscience to learn how to read the primary literature and develop their own experiments.

This volume addresses that gap, gathering multidisciplinary knowledge and providing tools for understanding the neuroscience techniques that are essential to the field, and allowing the reader to design experiments in a variety of neuroscience disciplines.

Neuroscience graduate students, post-doctoral fellows, experienced researchers new to neuroscience, and senior researchers who want technique updates.

There are two different types of research techniques: scientific and historical. The purpose of both techniques are to use a logical approach to obtain information about a specific subject. Research techniques can be applied to a broad range of issues or areas of research.

Basic research techniques are based on a formal process. The exact order of the steps depend on the subject and the reason for the research. The eight steps are the same for both basic and applied research .

The first four steps are: formation of a topic, hypothesis , conceptual definition and operational definition. The formation of a topic is usually phrased as a question. The question is generally within the researchers field of expertise. The hypothesis is a theory proposed by the researcher, which is often phrased as a question. The conceptual and operational definitions provide the scope and focus for the research.



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