Exam 5: Introduction to Data Screening and Cleaning

In SPSS, MVA and EM stand for:

Outliers can be assessed by:

Missing data inserted by the method of last Observation Carried Forward is usually used with

Questions relate to the following dataset.Stress and anxiety are measured from 1 low) to 7 high). -How would you deal with the unusual score for the stress variable? I would

Researchers notice that they have missing data.When they look more carefully, they see that the data was missing because some equipment failed, some people were ill, and in some cases the data was not entered.The data are likely to be:

Questions relate to the following dataset.Stress and anxiety are measured from 1 low) to 7 high). -For the 'stress' variable, are there any scores which might cause us anxiety, if so, which?

If you have a large normally distributed dataset with data missing at random then the best value to insert instead of missing data is the:

Questions relate to the following dataset.Stress and anxiety are measured from 1 low) to 7 high). -How would you deal with the missing value for anxiety? I would

If researchers delete listwise, this is likely to:

A dataset has scores ranging from 30-50, except one outlier who has scored 10.The influence of this outlier could best be dealt with by giving him a score of