### What is the difference between Listwise and pairwise deletion?

## What is the difference between Listwise and pairwise deletion?

In listwise deletion a case is dropped from an analysis because it has a missing value in at least one of the specified variables. The analysis is only run on cases which have a complete set of data. Pairwise deletion occurs when the statistical procedure uses cases that contain some missing data.

**What is listwise deletion in SPSS?**

Listwise missing value deletion (default) Whenever a statistical procedure starts, SPSS will first eliminate all observations that have one or more missing value across all variables that are specified for the current procedure. This is called LISTWISE deletion and is the default mechanism.

### When should I use listwise deletion?

Listwise deletion (complete-case analysis) removes all data for a case that has one or more missing values. This technique is commonly used if the researcher is conducting a treatment study and wants to compare a completers analysis (listwise deletion) vs.

**Should I use pairwise or Listwise deletion?**

Researchers using listwise deletion will remove a case completely if it is missing a value for one of the variables included in the analysis. Researchers using pairwise deletion will not omit a case completely from the analyses. Pairwise deletion omits cases based on the variables included in the analysis.

## What is the major disadvantage of Listwise deletion?

Problems with listwise deletion Statistical power relies in part on high sample size. Because listwise deletion excludes data with missing values, it reduces the sample which is being statistically analysed. Due to the method, much of the subjects’ data will be excluded from analysis, leaving a bias in data findings.

**Should I use pairwise or listwise deletion?**

### What is the major disadvantage of listwise deletion?

**How many imputations are needed for missing data?**

An old answer is that 2 to 10 imputations usually suffice, but this recommendation only addresses the efficiency of point estimates. You may need more imputations if, in addition to efficient point estimates, you also want standard error (SE) estimates that would not change (much) if you imputed the data again.

What is the difference between Listwise and pairwise deletion? In listwise deletion a case is dropped from an analysis because it has a missing value in at least one of the specified variables. The analysis is only run on cases which have a complete set of data. Pairwise deletion occurs when the statistical procedure uses…