Method for Data Collection and Analysis

Understand the type of data that needs to be collected for the investigation. It could be quantitative (numerical) or qualitative (descriptive).
Determine data collection techniques. This could be through observation, survey, experiment, or other available resources.
Set clear parameters for data collection – be precise about what, where, how, and when you will collect data.
Use appropriate tools and devices for data collection. Ensure they are accurate and reliable to get valid results.
Incorporate a replication in your experiments. This assists in observing any variations and enhances the reliability of your data.
Be aware of the need for control of variables. Consider the factors that might affect your data and control those variables where possible.
Develop a clear plan on how you will record and organise your data. This might require data sheets, coding systems, or digital tools like spreadsheets.
Understand data analysis techniques such as statistical analysis, graphical analysis, etc. Choose the best method for your investigation.
Always interpret the data in the context of your investigation. Look for trends, correlations, outliers, etc.
Be prepared to repeat data collection procedures if initial results are not reliable or if errors are identified.
Understand the difference between accuracy (how close a measurement is to the correct value) and precision (how close multiple measurements are to each other) and ensure both in the data collection process.
Remember to validate your findings. This could involve comparing with established research, discussing with professionals in the field, or executing further experiments.