Various challenges can affect the accuracy of data collection: - Sampling Bias: When the sample is not representative of the population. - Recall Bias: When participants do not accurately remember past events or exposures. - Measurement Error: Incorrectly measuring or recording data. - Data Entry Errors: Mistakes made while inputting data into databases. - Non-response Bias: When certain individuals do not participate, potentially skewing results.
