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Science for Kids – How to Collect Data in an Experiment

Data collection in any experiment is crucial to the accuracy and precision of a scientific project. More importantly, when data from experiments is collected correctly, the information collected provides validity and credibility to the scientist in the science project. These are valuable skills for any scientist to succeed in any field. When science students are collecting data for a science project, they should be aware of these basic steps: precision, accuracy, validity, and reliability.

Accuracy data is repeatability

In many cases, science students working on their school science projects must repeat their experiments. This is to justify the above experiments. But it also explains that the data collected is accurate. The more accurate the data collection, the more accurate the result. Perhaps, science students need to repeat an experiment to verify an unsuccessful or incomplete result. Other times, experiments don’t work according to standards. In other cases, experiments are incomplete due to lack of material or time. Therefore, the more repetitions in an experiment, the better the results.

Accurate data is correct information

The accuracy of the data collected by the science students means how close this result is to the actual value. In statistical terms, a true value is data that comes very close to the correct record. Thus, the more accurate a measurement is on a particular instrument, the more accurate that value will be for the experiment. Therefore, many instruments must be calibrated to standards to provide accurate results. When an instrument is not calibrated, the measurements of that instrument are invalid. Calibration is the act of standardizing an instrument based on its specific graduations. For example, a grocery store scale is calibrated with weights to provide the most accurate weight in pounds. Therefore, the calibration of an instrument is a vital part of the accuracy and precision of a result.

Valid data is real scientific content

When science students provide real data, it also lends legitimacy to their science projects. In fact, without validity in scientific projects, they seem unreliable. For other scientists, when validity is compromised in some scientific experiments or projects, it sends a negative signal that they are not serious about their project. In science, experiments may not produce the results they might predict. But a negative result in a scientific experiment can also mean a good result. It can prove or disprove the hypothesis. It can provide additional information to other scientific experiments. It can establish the opportunity to deepen the analysis of the data. Therefore, a valid science experiment not only provides valid results, but also provides an honest science student.

Reliable data is reliable evidence

If science students approach their science projects with validity, their data becomes more reliable. When experiments are carried out with conviction in the realization of the best and most accurate data, they can be confident in their scientific projects. Reliable results lay the foundation for a legitimate reputation for science students. But it also establishes that the information collected by science students is reliable, valid, accurate and precise. In fact, science students who skip any steps in their science experiments to get results understand that science is a learning process.

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