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A research methodology defines what the activity of research is, how to proceed, how to measure progress, and what constitutes success. AI methodology is a jumbled mess. Different methodologies define distinct schools which wage religious wars against each other. Methods are tools. Use them; don't let them use you. Don't fall for slogans that raise one above the others: ``AI research needs to be put on firm foundations;'' ``Philosophers just talk. AI is about hacking;'' ``You have to know what's computed before you ask how.'' To succeed at AI, you have to be good at technical methods and you have to be suspicious of them. For instance, you should be able to prove theorems and you should harbor doubts about whether theorems prove anything. Most good pieces of AI delicately balance several methodologies. For example, you must walk a fine line between too much theory, possibly irrelevant to any real problem, and voluminous implementation, which can represent an incoherent munging of ad-hoc solutions. You are constantly faced with research decisions that divide along a boundary between ``neat'' and ``scruffy.'' Should you take the time to formalize this problem to some extent (so that, for example, you can prove its intractability), or should you deal with it in its raw form, which ill-defined but closer to reality? Taking the former approach leads (when successful) to a clear, certain result that will usually be either boring or at least will not Address the Issues; the latter approach runs the risk of turning into a bunch of hacks. Any one piece of work, and any one person, should aim for a judicious balance, formalizing subproblems that seem to cry for it while keeping honest to the Big Picture. Some work is like science. You look at how people learn arithmetic, how the brain works, how kangaroos hop, and try to figure it out and make a testable theory. Some work is like engineering: you try to build a better problem solver or shape-from algorithm. Some work is like mathematics: you play with formalisms, try to understand their properties, hone them, prove things about them. Some work is example-driven, trying to explain specific phenomena. The best work combines all these and more. Methodologies are social. Read how other people attacked similar problems, and talk to people about how they proceeded in specific cases.

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Experimental research methodology is used when comparing one group with a control group. In an experiment, the control group does not receive the intervention being studied, allowing researchers to isolate the effects of the intervention on the treatment group. Random assignment helps ensure that the groups are similar at the start of the study.

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Q: What research methodology is used when comparing one group with a control group?
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When conducting a research study which group receives the independent variables (treatment)?

In a research study, the independent variable (treatment) is typically given to the experimental group, while the control group does not receive the treatment. This allows researchers to compare the effects of the treatment on the experimental group against the control group to determine its impact.


Which research method is most appropriate if you are looking for a cause and effect relationship?

The most appropriate research method for establishing a cause-and-effect relationship is a randomized controlled trial. This experimental design involves randomly assigning participants to different groups, with one group receiving the treatment (cause) and another group serving as a control. By comparing the outcomes between the two groups, researchers can determine whether the treatment caused the observed effect.


If participants in the experimental group of a drug treatment study are much younger than participants in the control group the age of the research participants is aNo?

Confounding variable.


Which research method is most appropriate if you are looking for a causal relationship?

A randomized controlled trial (RCT) is the most appropriate research method for investigating causal relationships. In an RCT, participants are randomly assigned to different groups, with one group receiving the treatment (independent variable) and the other acting as a control. This design allows researchers to establish causality by comparing the outcomes between the groups.


Do you have a control group when you use qualitative writing?

Control groups are more commonly used in quantitative research to compare outcomes with a standard or no treatment group. In qualitative research, control groups are not typically utilized since the focus is on exploring experiences, perspectives, and meanings rather than testing hypotheses with controlled variables. The emphasis is on in-depth understanding rather than statistical generalizability.

Related questions

What has the author Martha Ann Carey written?

Martha Ann Carey has written: 'Focus group research' -- subject(s): Methodology, Focus groups, Social sciences, Research 'Essentials of focus groups' -- subject(s): Focus groups, Methodology, Qualitative research


What has the author Francesca Colella written?

Francesca Colella has written: 'Focus group' -- subject(s): Focus groups, Methodology, Qualitative research


What is the difference between a null hypothesis and a research hypothesis?

The null hypothesis is the default hypothesis. It is the hypothesis that there is no difference between the control group and the treatment group. The research hypothesis proposes that there is a significant difference between the control group and the treatment group.


What is the difference between a control groups and experimental groups?

The control is a group that is held constant and is not experimented with, The experimental group is the group that is experimented with


In a correlational study one group is the control group what is the other group called?

experimental, even though it's not an experimental research


What research design in which neither the researchers performing the intervention nor the research subjects know whether they are in the control group or the active intervention group is?

A research design in which both the researchers and participants are unaware of who is in the control or intervention group is called a double-blind study. This design helps eliminate bias and placebo effects in research studies by ensuring that neither the researchers nor the participants can influence the results based on their knowledge of the group assignment. Double-blind studies are commonly used in medical and psychological research.


What does controls mean in a science project?

Control in a science experiment means it stays the same and you don't do anything to it.


Which factor distinguishes experimental group from control group?

In an experimental design comparing two groups in which one group gets one treatment and another group gets a second treatment, the experimental group is the group with the "different" treatment. The control is the "usual" treatment; the experimental group gets the "new" treatment. Of course, things get complicated with more complicated "experiments."


A placebo is a medication that elicits a positive emotional response in an experimental subject?

Actually, a placebo is a substance or treatment with no therapeutic effect that is used as a control in medical research. It allows researchers to isolate the true effects of a treatment by comparing the results from the actual treatment group to those from the placebo group.


What type of graph is best for comparing information belonging to one group?

A pie chart graph is best for comparing information belonging to one group. The whole group is represented by the entire circle. It is best for comparing one difference within the group, such as ages.


How do you match each evaluation type of human research methodology with its definition?

Formative evaluation: Involves ongoing feedback and assessment during program development to improve effectiveness and make modifications as needed. Summative evaluation: Focuses on measuring the overall impact and outcomes of a program or intervention after it has been implemented. Process evaluation: Examines the implementation and delivery of a program to assess fidelity and identify areas for improvement in service delivery. Outcome evaluation: Assesses the effectiveness and impact of a program on its intended outcomes or goals.


What is the control group and what is it used for?

The control is the part of the experiment where it remains constant, and never changes. The control is used so the changing variable in the experiment can be reflected off of the control, so thereby comparing the changing variable with the control (the variable that does not change) in the experiment. Without the control, the experiment is a waste.