Individuals will know when they have enough data once the right questions have been asked, an unbiased audience and interviewer have completed the process, and the results reflect few or no errors. Hamlett (2018) states, “By approaching research questions appropriately, we can differentiate between the validity and reliability of a research study. » Researching a topic is not about personal gain, it is about providing data through triangulation. Michael Berry said: “Testing the performance of the predictive model by gradually adding more data can shed light on when enough is enough. » It is crucial to determine the relationship between variables and plausibility when collecting data. Say no to plagiarism. Get a tailor-made essay on “Why Violent Video Games Should Not Be Banned”? Get an original essayNever assume anything. When researching or providing honest feedback, you should not favor one thing over another or think negatively about one thing. If this is the case, the individual is considered biased. Analyze the power, the effect of one variable on another and the level where the hypothesis may be incorrect. To determine the importance of something, use statistics. Do not leave anything to chance as this could result in an error. Let’s take the field of law. To convict someone or discredit a theory, proof beyond a reasonable doubt must be provided. Additionally, the sample size used is also important. Power will increase with sample size. You don't need to collect data from thousands of people to get accurate results. I know I have enough data when the number of individuals is greater than necessary, such as 600, or when the results start to offer too many possibilities. Accuracy is one of the most important aspects when it comes to collecting and producing information. If there is any point that is incorrect or a biased person provided the data, it may change the results of the data collected. For example, if someone is paid to write a review, they will likely write a review that makes the company look good, even if it's a terrible product. Keep in mind: this is just a sample. Get a custom paper now from our expert writers.Get a custom essayEthics are crucial when collecting data. Ethical considerations related to accessing and safeguarding data are all important. Allowing people to voluntarily participate in research without offering a reward allows for accurate and unbiased data. Participants must be knowledgeable, anonymous or give consent to use their name or likeness, and receive information that supplements their current knowledge. Additionally, researchers must avoid plagiarism, providing false data, and mistreatment of participants. Overall, data collection is not as simple as it seems.