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Methodology

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❶The goal of the research process is to produce new knowledge or deepen understanding of a topic or issue.

What is Research Methodology?

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Experimental Research Methods
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In other fields of study, which do not always have the luxury of definable and quantifiable variables - you need to use different research methods. These should attempt to fit all of the definitions of repeatability or falsifiability , although this is not always feasible. Opinion based research methods generally involve designing an experiment and collecting quantitative data.

For this type of research, the measurements are usually arbitrary, following the ordinal or interval type. Questionnaires are an effective way of quantifying data from a sample group, and testing emotions or preferences. This method is very cheap and easy, where budget is a problem, and gives an element of scale to opinion and emotion. These figures are arbitrary, but at least give a directional method of measuring intensity. By definition, this experiment method must be used where emotions or behaviors are measured, as there is no other way of defining the variables.

Whilst not as robust as experimental research , the methods can be replicated and the results falsified. Observational research is a group of different research methods where researchers try to observe a phenomenon without interfering too much. Observational research methods, such as the case study , are probably the furthest removed from the established scientific method. Observational research tends to use nominal or ordinal scales of measurement. Observational research often has no clearly defined research problem , and questions may arise during the course of the study.

Observation is heavily used in social sciences, behavioral studies and anthropology, as a way of studying a group without affecting their behavior. Whilst the experiment cannot be replicated or falsified , it still offers unique insights, and will advance human knowledge. Case studies are often used as a pre-cursor to more rigorous methods, and avoid the problem of the experiment environment affecting the behavior of an organism. Observational research methods are useful when ethics are a problem.

In an ideal world, experimental research methods would be used for every type of research, fulfilling all of the requirements of falsifiability and generalization. However, ethics , time and budget are major factors, so any experimental design must make compromises. As long as a researcher recognizes and evaluates flaws in the design when choosing from different research methods, any of the scientific research methods are valid contributors to scientific knowledge.

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Login Sign Up Privacy Policy. You can measure different temperature inside and outside. If it is a sunny day, chances are that the temperature will be higher than if it's cloudy. Another thing that can make the temperature change is whether something has been done to manipulate the temperature, like lighting a fire in the chimney.

In research, you typically define variables according to what you're measuring. The independent variable is the variable which the researcher would like to measure the cause , while the dependent variable is the effect or assumed effect , dependent on the independent variable. These variables are often stated in experimental research , in a hypothesis , e. In explorative research methodology, e.

They might not be stated because the researcher does not have a clear idea yet on what is really going on. Confounding variables are variables with a significant effect on the dependent variable that the researcher failed to control or eliminate - sometimes because the researcher is not aware of the effect of the confounding variable.

The key is to identify possible confounding variables and somehow try to eliminate or control them. Operationalization is to take a fuzzy concept conceptual variables , such as ' helping behavior ', and try to measure it by specific observations, e. The selection of the research method is crucial for what conclusions you can make about a phenomenon. It affects what you can say about the cause and factors influencing the phenomenon.

It is also important to choose a research method which is within the limits of what the researcher can do. Time, money, feasibility, ethics and availability to measure the phenomenon correctly are examples of issues constraining the research. Choosing the scientific measurements are also crucial for getting the correct conclusion.

Some measurements might not reflect the real world, because they do not measure the phenomenon as it should. To test a hypothesis , quantitative research uses significance tests to determine which hypothesis is right. The significance test can show whether the null hypothesis is more likely correct than the research hypothesis.

Research methodology in a number of areas like social sciences depends heavily on significance tests. A significance test may even drive the research process in a whole new direction, based on the findings. The t-test also called the Student's T-Test is one of many statistical significance tests, which compares two supposedly equal sets of data to see if they really are alike or not.

The t-test helps the researcher conclude whether a hypothesis is supported or not. Drawing a conclusion is based on several factors of the research process, not just because the researcher got the expected result. It has to be based on the validity and reliability of the measurement, how good the measurement was to reflect the real world and what more could have affected the results. Anyone should be able to check the observation and logic, to see if they also reach the same conclusions.

Errors of the observations may stem from measurement-problems, misinterpretations, unlikely random events etc. A common error is to think that correlation implies a causal relationship. This is not necessarily true.

Generalization is to which extent the research and the conclusions of the research apply to the real world. It is not always so that good research will reflect the real world, since we can only measure a small portion of the population at a time. Validity refers to what degree the research reflects the given research problem, while Reliability refers to how consistent a set of measurements are.

A definition of reliability may be "Yielding the same or compatible results in different clinical experiments or statistical trials" the free dictionary. Research methodology lacking reliability cannot be trusted. Replication studies are a way to test reliability. Both validity and reliability are important aspects of the research methodology to get better explanations of the world.

Logically, there are two types of errors when drawing conclusions in research:. Type 1 error is when we accept the research hypothesis when the null hypothesis is in fact correct. Type 2 error is when we reject the research hypothesis even if the null hypothesis is wrong. Check out our quiz-page with tests about:. Oskar Blakstad Mar 10,

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The methods section describes actions to be taken to investigate a research problem and the rationale for the application of specific procedures or techniques used to identify, select, process, and analyze information applied to understanding the problem, thereby, allowing the reader to critically.

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Definition of research methodology: The process used to collect information and data for the purpose of making business decisions. The methodology may include publication research, interviews, surveys and other research techniques, and.

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The methodology is the general research strategy that outlines the way in which research is to be undertaken and, among other things, identifies the methods to be used in it. These methods, described in the methodology, define the means or modes of data collection or. Key concepts of the research methodology. Understanding the significance of the Scientific Method.

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A research method is a systematic plan for doing research. In this lesson, we'll look at the definition for a research method and examine the four. The research question, ethics, budget and time are all major considerations in any design.. This is before looking at the statistics required, and studying the preferred methods for the individual scientific discipline.. Every experimental design must make compromises and generalizations, so the researcher must try to minimize these, whilst remaining realistic.