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What Is the Meaning of Variables in Research?

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❶This research provides scientific information and theories for the explanation of the nature and the properties of the world.

Intervening and Moderator Variables

Independent and Dependent Variables
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Dependent and Independent Variables

According to artist Hakan Topal , in artistic research, "perhaps more so than other disciplines, intuition is utilized as a method to identify a wide range of new and unexpected productive modalities". This may be factual, historical, or background research. Background research could include, for example, geographical or procedural research. The Society for Artistic Research SAR publishes the triannual Journal for Artistic Research JAR , [22] [23] an international, online, open access , and peer-reviewed journal for the identification, publication, and dissemination of artistic research and its methodologies, from all arts disciplines and it runs the Research Catalogue RC , [24] [25] [26] a searchable, documentary database of artistic research, to which anyone can contribute.

Patricia Leavy addresses eight arts-based research ABR genres: Research is often conducted using the hourglass model structure of research. The major steps in conducting research are: The steps generally represent the overall process; however, they should be viewed as an ever-changing iterative process rather than a fixed set of steps.

Often, a literature review is conducted in a given subject area before a research question is identified. A gap in the current literature, as identified by a researcher, then engenders a research question. The research question may be parallel to the hypothesis.

The hypothesis is the supposition to be tested. The researcher s collects data to test the hypothesis. The researcher s then analyzes and interprets the data via a variety of statistical methods, engaging in what is known as empirical research.

The results of the data analysis in rejecting or failing to reject the null hypothesis are then reported and evaluated. At the end, the researcher may discuss avenues for further research. However, some researchers advocate for the reverse approach: The reverse approach is justified by the transactional nature of the research endeavor where research inquiry, research questions, research method, relevant research literature, and so on are not fully known until the findings have fully emerged and been interpreted.

Rudolph Rummel says, " It is only when a range of tests are consistent over many kinds of data, researchers, and methods can one have confidence in the results.

Plato in Meno talks about an inherent difficulty, if not a paradox, of doing research that can be paraphrased in the following way, "If you know what you're searching for, why do you search for it?!

The goal of the research process is to produce new knowledge or deepen understanding of a topic or issue. This process takes three main forms although, as previously discussed, the boundaries between them may be obscure:. There are two major types of empirical research design: Researchers choose qualitative or quantitative methods according to the nature of the research topic they want to investigate and the research questions they aim to answer:.

Social media posts are used for qualitative research. The quantitative data collection methods rely on random sampling and structured data collection instruments that fit diverse experiences into predetermined response categories. If the research question is about people, participants may be randomly assigned to different treatments this is the only way that a quantitative study can be considered a true experiment.

If the intent is to generalize from the research participants to a larger population, the researcher will employ probability sampling to select participants. In either qualitative or quantitative research, the researcher s may collect primary or secondary data.

Primary data is data collected specifically for the research, such as through interviews or questionnaires. Secondary data is data that already exists, such as census data, which can be re-used for the research. It is good ethical research practice to use secondary data wherever possible.

For example, a researcher may choose to conduct a qualitative study and follow it up with a quantitative study to gain additional insights. Big data has brought big impacts on research methods so that now many researchers do not put much effort into data collection; furthermore, methods to analyze easily available huge amounts of data have also been developed.

Non-empirical theoretical research is an approach that involves the development of theory as opposed to using observation and experimentation.

As such, non-empirical research seeks solutions to problems using existing knowledge as its source. This, however, does not mean that new ideas and innovations cannot be found within the pool of existing and established knowledge.

Non-empirical research is not an absolute alternative to empirical research because they may be used together to strengthen a research approach. Neither one is less effective than the other since they have their particular purpose in science. Typically empirical research produces observations that need to be explained; then theoretical research tries to explain them, and in so doing generates empirically testable hypotheses; these hypotheses are then tested empirically, giving more observations that may need further explanation; and so on.

A simple example of a non-empirical task is the prototyping of a new drug using a differentiated application of existing knowledge; another is the development of a business process in the form of a flow chart and texts where all the ingredients are from established knowledge. Much of cosmological research is theoretical in nature. Mathematics research does not rely on externally available data; rather, it seeks to prove theorems about mathematical objects.

Research ethics involves the application of fundamental ethical principles to a variety of topics involving research, including scientific research. These principles include deontology , consequentialism , virtue ethics and value ethics. Ethical issues may arise in the design and implementation of research involving human experimentation or animal experimentation , such as: Research ethics is most developed as a concept in medical research.

The key agreement here is the Declaration of Helsinki. The Nuremberg Code is a former agreement, but with many still important notes. Research in the social sciences presents a different set of issues than those in medical research [44] and can involve issues of researcher and participant safety, empowerment and access to justice.

When research involves human subjects, obtaining informed consent from them is essential. In many disciplines, Western methods of conducting research are predominant. The increasing participation of indigenous peoples as researchers has brought increased attention to the lacuna in culturally-sensitive methods of data collection.

Non-Western methods of data collection may not be the most accurate or relevant for research on non-Western societies. Periphery scholars face the challenges of exclusion and linguicism in research and academic publication.

As the great majority of mainstream academic journals are written in English, multilingual periphery scholars often must translate their work to be accepted to elite Western-dominated journals. Peer review is a form of self-regulation by qualified members of a profession within the relevant field. Peer review methods are employed to maintain standards of quality, improve performance, and provide credibility.

In academia, scholarly peer review is often used to determine an academic paper's suitability for publication. Usually, the peer review process involves experts in the same field who are consulted by editors to give a review of the scholarly works produced by a colleague of theirs from an unbiased and impartial point of view, and this is usually done free of charge.

The tradition of peer reviews being done for free has however brought many pitfalls which are also indicative of why most peer reviewers decline many invitations to review. The open access movement assumes that all information generally deemed useful should be free and belongs to a "public domain", that of "humanity".

For instance, most indigenous communities consider that access to certain information proper to the group should be determined by relationships. There is alleged to be a double standard in the Western knowledge system.

On the one hand, "digital right management" used to restrict access to personal information on social networking platforms is celebrated as a protection of privacy, while simultaneously when similar functions are utilised by cultural groups i.

Even though Western dominance seems to be prominent in research, some scholars, such as Simon Marginson, argue for "the need [for] a plural university world". This could be due to changes in funding for research both in the East and the West. Focussed on emphasizing educational achievement, East Asian cultures, mainly in China and South Korea, have encouraged the increase of funding for research expansion.

In several national and private academic systems, the professionalisation of research has resulted in formal job titles. In present-day Russia, the former Soviet Union and in some post-Soviet states the term researcher Russian: The term is also sometimes translated as research fellow , research associate , etc.

Academic publishing is a system that is necessary for academic scholars to peer review the work and make it available for a wider audience. The system varies widely by field and is also always changing, if often slowly. Most academic work is published in journal article or book form. There is also a large body of research that exists in either a thesis or dissertation form. These forms of research can be found in databases explicitly for theses and dissertations.

In publishing, STM publishing is an abbreviation for academic publications in science, technology, and medicine. Most established academic fields have their own scientific journals and other outlets for publication, though many academic journals are somewhat interdisciplinary, and publish work from several distinct fields or subfields. The kinds of publications that are accepted as contributions of knowledge or research vary greatly between fields, from the print to the electronic format.

A study suggests that researchers should not give great consideration to findings that are not replicated frequently. Since about the early s, licensing of electronic resources, particularly journals, has been very common. Presently, a major trend, particularly with respect to scholarly journals, is open access.

Most funding for scientific research comes from three major sources: These are managed primarily through universities and in some cases through military contractors.

Many senior researchers such as group leaders spend a significant amount of their time applying for grants for research funds. These grants are necessary not only for researchers to carry out their research but also as a source of merit. The Social Psychology Network provides a comprehensive list of U.

Government and private foundation funding sources. From Wikipedia, the free encyclopedia. This article is about the search for knowledge. For other uses, see Research disambiguation.

For other uses, see Researcher disambiguation. For Wikipedia's policy against directly including in articles the results of editor-conducted research, see Wikipedia: Original research redirects here. For the Wikipedia policy, see Wikipedia: This section does not cite any sources. Please help improve this section by adding citations to reliable sources. Unsourced material may be challenged and removed.

June Learn how and when to remove this template message. This article needs to be updated. This subsection's claims are potentially outdated in the "digital age" given that near-total penetration of Web access among scholars worldwide enables any scholar[s] to submit papers to any journal anywhere.

Please update this article to reflect recent events or newly available information. The examples and perspective in this section may not represent a worldwide view of the subject. You may improve this article , discuss the issue on the talk page , or create a new article , as appropriate.

January Learn how and when to remove this template message. Academic ranks , Academics , and Scientists. It changes according to different factors. Some variables change easily, like the stock-exchange value, while other variables are almost constant, like the name of someone.

Researchers are often seeking to measure variables. The variable can be a number, a name, or anything where the value can change. An example of a variable is temperature. The temperature varies according to other variable and factors. 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.

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An independent variable is a variable believed to affect the dependent variable. This is the variable that you, the researcher, will manipulate to see if it makes the dependent variable change. In our example of hungry people throwing a ball, our independent variable is how long it's been since they've eaten.

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In scientific research, scientists, technicians and researchers utilize a variety of methods and variables when conducting their experiments. In simple terms, a variable represents a measurable attribute that changes or varies across the experiment whether comparing results between multiple groups, multiple people or even when using a single person in .

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The dependent variable is what is affected by the independent variable-- your effects or outcomes. For example, if you are studying the effects of a new educational program on student achievement, the program is the independent variable and your measures of achievement are the dependent ones. Variables can be defined as any aspect of a theory that can vary or change as part of the interaction within the theory. In other words, variables are anything can effect or change the results of a study. Every study has variables as these are needed in order to understand differences.

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The key to designing any experiment is to look at what research variables could affect the outcome. There are many types of variable but the most important, for the vast majority of research methods, are the independent and dependent variables. between the research variables, even though researcher cannot see it. These variables are called Polit Denise F., Beck CT. Nursing Research, Principles and Methods. 7th edition. Pliladephia: LippincottWilliams & Wilkins; Variables in research.