missing data imputation

  1. T

    Missing Data Imputation - How to choose the best method?

    Hello, I found a toolbox with several methods for missing data imputation, and they perform a Mean Squared Prediction Error criteria do know which method is the best for a % of missing data. They start from a complete data set (no missing data), they create a missing data, they impute the...
  2. M

    Syntax for replacing missing values with the Mean of Participants other scores

    Hi. I have a set of likert scales where on some items my participants have selected 'PFNTS' my Phd supervisor has said that as long as more than 50% of the data points in a scale are there then I can calculate the mean of those scores and use them to populate those missing data points. If there...
  3. E

    SAS Missing Data Imputation: Arrays + Proc STDIZE

    Hi Guys I came across this following code: data dataset(drop=i); set data; array mi{*} mi_Ag mi_Inc mi_WR; array x{*} Ag Inc WR; do i=1 to dim(mi); mi{i}=(x{i}=.); end; run; I need to understand two things: 1.) there is a column...
  4. A

    Missing Data

    Hi :wave:, I have a database that I am using data imputation techniques, but is not a normal matrix to apply a multivariate normal test, my question is "I can apply Little's test to this data? :confused:" this to find the pattern of data loss (MAR, MCAR and MNAR :D ) Thank's I will wait...
  5. B

    Hot deck imputation issues

    Background: I had a data set containing 212 observations with a lots of missing values. Most of the IVs and DVs are categorical (DVs are ordinal) in nature. There are 3 DVs and about 30 IVs. My intention was to run an ordinal logistic regression. A list-wise deletion keeps only 42...
  6. Rmaxwel2

    Item-Level Multiple Imputation to Produce a Total Score for a Measure?

    Hi, all, a quick question regarding multiple imputation . . . The multiple imputation examples I've seen appear to opearate at the scale/inferential level of analysis, i.e. using all measures' total scores to predict other total scores and using imputed scale-level predictions in inferential...
  7. B

    Imputation of categorical missing data in SPSS

    Hello all, I want to know a very basic thing about adjustment of missing values for categorical variables in SPSS. I have a data set containing some categorical variables. Some variables have only two categories 0 and 1. Some variables have 5 categories 0 to 4. Some variables have even 11...
  8. E

    Estimating Missing Data - help required!

    Hi Forum I am having trouble trying to find a way of estimating missing data from a project I have been working on and I hope that someone can point me in the right direction. The Project: I am comparing the insect populations of 2 fields. The fields have different crops growing in them...