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, Retrieved Sep 14, from Explorable. The text in this article is licensed under the Creative Commons-License Attribution 4. You can use it freely with some kind of link , and we're also okay with people reprinting in publications like books, blogs, newsletters, course-material, papers, wikipedia and presentations with clear attribution.
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, sometimes, how a specific result is to be calculated. When proper to a study of methodology, such processes constitute a constructive generic framework , and may therefore be broken down into sub-processes, combined, or their sequence changed.
A paradigm is similar to a methodology in that it is also a constructive framework. In theoretical work, the development of paradigms satisfies most or all of the criteria for methodology.
Any description of a means of calculation of a specific result is always a description of a method and never a description of a methodology. It is thus important to avoid using methodology as a synonym for method or body of methods. Doing this shifts it away from its true epistemological meaning and reduces it to being the procedure itself, or the set of tools, or the instruments that should have been its outcome. A methodology is the design process for carrying out research or the development of a procedure and is not in itself an instrument, or method, or procedure for doing things.
Methodology and method are not interchangeable. In recent years, however, there has been a tendency to use methodology as a "pretentious substitute for the word method ".
From Wikipedia, the free encyclopedia. This article is about research methods. For software engineering frameworks, see Software development methodology.
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Jul 12, · Understanding the difference between methods and methodology is of paramount importance. Method is simply a research tool, a component of research – say for example, a qualitative method such as interviews. Methodology is the justification for using a particular research method.
Research methods are the tools, techniques or processes that we use in our research. These might be, for example, surveys, interviews, Photovoice, or participant observation. Methods and how they are used are shaped by methodology.
Method is simply a research tool, a component of research – say for example, a qualitative method such as interviews. Methodology is the justification for using a particular research method. So if for example, like me, you want to understand the motivations and perceptions of a group of bloggers then you would most likely choose . Research methodology aims at the employment of the correct procedures to find out solutions and paves the way for research methods to be conducted properly. Research methodology is the guidebook of research and is a science in itself.
The research methods are often confused with research methodology, which implies the scientific analysis of the research methods, so as to find a solution to the problem at dommonet.tk, it seems apt to clarify the differences between research method and research methodology at this juncture, have a look. Video: Research Methodology: Approaches & Techniques 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.