One aspect of this is the reliability , validity , and accuracy of the experiment. So what do these terms mean and how do these things affect each other? An experiment is a set of measurements that are analysed to test a link or relationship between different things. The measurements are usually analysed in an experimental report, which is set out in a clear format to help the reader understand different aspects of the experiment, like the aim, the equipment and method used, the results obtained, how they were analysed, and what conclusions can be drawn.
When writing the method of an experiment, you must ensure that each step of the method incorporates reliability, accuracy or validity. Validity relates to the experimental method and how appropriate it is in addressing the aim of the experiment:.
Several aspects of the experiment can contribute to validity: the equipment, the experimental method, and the analysis of the results. Although it may seem obvious, the appropriate equipment needs to be used. The equipment must be suitable for carrying out the experiment and taking the necessary measurements.
The experiment is ultimately testing a relationship between cause and effect: how changing X affects Y. To address this, you must only change X, and see what happens to Y. If you allow other changes at the same time, then you cannot make a valid conclusion about how X affected Y, since Y may have been affected by the other changes as well.
The correct way to describe this is in terms of the independent, dependent, and control variables. The independent variable in an experiment is the one you set X. The dependent variable is the one you measure Y, because it depends on X. All other variables are called control variables, and they must be kept constant to prevent them from affecting the dependent variable.
They indicate how well a method, technique or test measures something. Reliability is about the consistency of a measure, and validity is about the accuracy of a measure. The five components of the scientific method are: observations, questions, hypothesis, methods and results.
Following the scientific method procedure not only ensures that the experiment can be repeated by other researchers, but also that the results garnered can be accepted. Bad experiments move metrics by confusing or tricking your users. They make things harder for your users, rather than solving underlying problems. Good experiments are conceived as bets. You know they have a chance to fail, but based on the info you have available, it is a good investment to make.
These changing quantities are called variables. A variable is any factor, trait, or condition that can exist in differing amounts or types. An experiment usually has three kinds of variables: independent, dependent, and controlled. The independent variable is the one that is changed by the scientist.
Several kinds of experimental designs exist. In general, designs that are true experiments contain three key features: independent and dependent variables, pretesting and posttesting, and experimental and control groups.
Accuracy is a measure of how close your values are to the true value. Precision is a measure of how closely your successive measurements agree with each other. When most people make a measurement, they assume it will be good enough…. They indicate how well a method, technique or test measures something. Reliability is about the consistency of a measure, and validity is about the accuracy of a measure. Reliability is another term for consistency. If one person takes the samepersonality test several times and always receives the same results, the test isreliable.
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