Which of the following is NOT a suggested way to address empty fields?

Question

BlackTom AI · Accepted Answer

Deleting records that contain any null values is generally not a recommended blanket approach because it often introduces bias and unnecessarily reduces usable data.

1) Relevant knowledge points and concepts
- Types of missingness: MCAR (missing completely at random), MAR (missing at random), MNAR (missing not at random). The appropriate handling depends on which type applies.
- Common strategies: investigate and report missingness, impute missing values (mean/median/model-based), use analysis methods robust to missing data, or ignore missing values only when their effect is negligible.
- Risks of listwise deletion: reduced sample size, loss of statistical power, and biased estimates when data are not MCAR.

2) Step-by-step reasoning
- If you automatically delete any record with a null value (listwise deletion), you assume that the remaining data are a random subset. That assumption only holds under MCAR. If missingness depends on observed or unobserved data (MAR or MNAR), deletion biases estimates.
- Deleting records can remove informative cases (e.g., patients who dropped out due to adverse events), changing sample composition and leading to misleading conclusions.
- Better practices: create a report of missing-value records to diagnose patterns; use formulaic imputation or model-based imputation when appropriate; and only ignore missing data if analysis shows they are negligible.

3) Example (intermediate-step illustration)
- Dataset with 1,000 records. Suppose 20% of rows have at least one null. Automatic deletion removes 200 records, leaving 800. If missingness is correlated with outcome (e.g., sicker patients more likely to have incomplete forms), estimates from the 800 will be biased.

4) Why the correct answer is correct
- "Automatically deleting any record that contains a null value" is NOT suggested because it indiscriminately discards data, reduces power, and can introduce bias unless missingness is strictly MCAR.

5) Why the other options are acceptable
- "Ignoring missing data unless proven significant": acceptable only if tested and shown negligible.
- "Using a formula to substitute an estimate": standard imputation technique.
- "Creating a report listing records with missing values": good diagnostic practice.

Conclusion: The correct answer is "Automatically deleting any record that contains a null value," which matches the provided answer.

Which of the following is NOT a suggested way to address empty fields?单项选择题

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