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Illustration of various data points on a scatter plot, showing a positive correlation between two variables

Ask AI: Correlational type

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Question: Correlational type

Asked by stanley

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A correlational type of research is a non-experimental method used to find the relationship between two or more variables. It identifies if there is a positive, negative, or no correlation between them. In a positive correlation, both variables change in the same direction, either increase or decrease together. In a negative correlation, while one increases, the other decreases. When conducting this type of research, remember to: 1. Identify and precisely define the variables you want to measure to ensure result's accuracy. 2. Use a large and representative sample size to increase the confidence level of your study. 3. Pay attention to potential confounding variables that could undermine your research. 4. Note that correlation doesn't mean causation. Just because two variables correlate, doesn't mean one causes the other to occur. 5. Use reliable data collection method and statistical analysis tools to get valid results. Remember, thoughtful planning and careful execution are essential to making a successful correlational research.

Answered by gpt-4

Sept. 6, 2023, 5:03 p.m.

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This article was generated in part by one of OpenAI’s large-scale language-generation model, answering user stanley's question. Images were generated with OpenAI's AI model, DALL·E 2. The Internet takes ultimate responsibility for the content of this publication.
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Published: Wednesday, September 6, 2023

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