Topic > The Key Concepts of Data Collection

People 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 little or no error. Hamlett (2018) states, “by adequately addressing research questions, we can distinguish between the validity and reliability of a research study.” Researching a topic is not about personal gain, but about contributing data with the use of triangulation. Michael Berry said, “testing the performance of the predictive model by incrementally adding more data can shed light on when too much is enough.” Determining the relationship between variables and plausibility during data collection is critical. Say no to plagiarism. Get a tailor-made essay on "Why Violent Video Games Shouldn't Be Banned"? Get an Original EssayNever take anything for granted. When doing research or giving honest feedback, you should not favor one thing over another or think negatively about one. If this is the case, the individual is considered injurious. Analyze power, the effect one variable has on another, and the degree to which the hypothesis may be incorrect. To determine the meaning of something, use statistics. Don't leave anything to chance as it could cause an error. Let us consider the field of law. To convict someone or discredit a theory, you need to provide evidence beyond a reasonable doubt. Furthermore, the sample size used is also important. Power will increase depending on 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 larger than necessary, like 600, or when the results start to provide too many possibilities. Accuracy is one of the most important aspects when it comes to collecting and producing information. If there is a point that is incorrect or if the data has been provided by a biased individual, this can change the results of the collected data. For example, if a person is paid to write a review, they are likely to write a review that makes the company look good even if it is a terrible product. Please note: this is just an example. Get a custom paper from our expert writers now. Get a Custom Essay Ethics are key when collecting data. The ethical considerations related to accessing and safeguarding data are all significant. Allowing people to voluntarily participate in research without offering a reward provides accurate and unbiased data. Participants should be well informed, anonymous or provide consent to have their name or image used, and receive information that adds to current knowledge. Furthermore, researchers should avoid plagiarism, providing false data, and mistreating participants. Overall, data collection is not as simple as it seems.