# missing data

1. ### Comparing proportion between categorical outcome variables, repeated measures design

I am working on an observational prospective longitudinal study with a repeated measures design. The same categorical outcome is measured for five times, for all the participants, over a time period. So there are five outcome (dependent) variables and a few predictor variables. First of all, I...
2. ### Repeated measures ANOVA; missing data and multiple measures at each time point

Hi TalkStats I have data from a project. The data is the blood pressure for each participant at day of "baseline" visit, and 3 time points after baseline visit. Index these baseline and post-baseline time points j=0,1,2,3. For the ith participant, at time point j, we have measurement...
3. ### Scale-wise testing for "missing completely at random"?

Hi there! :) I want to impute my missing data by using maximal likelihood (ML) estimation in SPSS. I've read that concerning questionnaire data it's recommended to impute the missing data scale-wise, since the intercorrelations of the items of each scale lead to more realistic estimations of...
4. ### Dealing with missing data in Repeated-measures ANOVAs

Afternoon all, I've been running a longitudinal follow-up study to assess outcomes following a psychological treatment for ME. As to be expected, there was a lot of drop-out by 12 months, the 5th time point of the follow-up. Usually I'd do a RM ANOVA to analyse this, but with the missing...
5. ### Random sampling from a database with missing values

Hello everyone! I have a real life problem that I would like to have some help with. I'm somewhat familiar with statistics, but for some reason haven't come up with any good solutions to this. My problem is the following: I have a database of patients with varying amounts of variables...
6. ### Multiple Imputations in a Dataset

Dear all, I'm a student working on a dataset based on a cross-sectional survey. The dataset includes around 200participants. The main analysis will involve a linear regression involving 3 predictors and an outcome continuous variable. Unfortunately, the data I have was collected over a long...
7. ### Missing Data - Scale Validation

Hi everyone, I am working to validate a 10-item scale, 5-point Likert response format in a sample of 673. Trying to find a "happy medium" for all I've been hearing about what to do with missing data. I am primarily using SPSS. My adviser wants me to delete cases missing 3 or more items...
8. ### Vertical-Format longitudinal dataset: Fill in missing values for cases

Hi all, I am running some growth curve analysis in SPSS. My data is in the vertical/stacked format. There are 6 entries for each person since we measures six points in time. HOWEVER, my model won't run because there is too much missing data. This is because for the demographic data...
9. ### missing data-doubly manova

Hi all, I am supposed to perform doubly MANOVA on a dataset, which includes mising data. Now I wanna use EM imputation as a remedy for missing data. My question is, should I just use the dataset created by EM imputation and continue with that, and check the assumptions on that data, etc...
10. ### Little's MCAR test: mismatch in DF

Hi, I have a question concerning degree of freedom in little ’s MCAR test. There seems to be a mismatch in the degree of freedom in the results of MCAR test. ->Little 's MCAR test: Chi-Square = 237,694, DF = 168, Sig. = ,000 However I suspected DF to be 245 because the data consists of...
11. ### MLE of multinomial distribution with missing values

Hi, I am trying to solve a problem and the results I get seem counter-intuitive. We randomly throw n balls into an area partitioned into 3 bins b_1,b_2,b_3. The size of each bins is proportional to the probability the ball will fall in it. Let's call these probabilities p_1,p_2,p_3. This...
12. ### Deleting Variables with Missing Data in SPSS

Is there a quick way to delete all variables that have no data in their columns?
13. ### Xbart Chart-Missing Data(correct sum) Question

Good Morning, I'm in a business statistics course and I understand how to make a xbar and rchart in excel when all the data is available to me, but I just can't seem to figure out the problem below. Any help would be much appreciated! Thank you!! Here's the question: Using the data...
14. ### Missing data in clinical trials - HELP! Differential drop out plus ignoring questions

Hi, I have a long format, repeated measures dataset. I have 19 variables (columns) - all representing individual questions on a 19 item scale. For my main analysis, I use the sum total of these 19 items across each row in the dataset (and a GEE analysis, with the sum total of the 19 items as...
15. ### Issue with missing data

Hi all, I am working on a dataset that include 12K+ firm-level data for 30+ countries. I have both firm-level variables (each firm within country has unique data) and country-level variables (each firm belonging to a given country gets the same value). For some country-level variables, the...
16. ### Export .csvout of SPSS

HI All, For a training course I have to leave R and dabble in SPSS. I have not used the programme in sometimes and cannot remeber even some very basic stuff. Basically I need to export an SPSS file to a .csv file in which there are no headings, no string variables and missing are...
17. ### Factor analysis with categorical variables containing missing values

Hello, I am trying to make a factor analysis with 32 categorical variables. They can be ordered and found from a questionnaire that answer options. Different questions had different options. The options were coded as 1,2,3,4,5 etc. So, each number representing a category for a question is...
18. ### Replacing missing data with EM

Hello everyone, For my undergraduate dissertation in Psychology I have conducted research testing the executive function (EF) skills of 40 children, gaining five EF scores. Several children did not complete all the tests, so I have some missing data (13.75% of values). I have been browsing...
19. ### Missing data.......Help needed!

So I'm handling a database that uses the total sum of 41 variables as a measure. I created a new variable with the syntax command "compute" sum= 1+2+....+41. But when a particular individual has even 1 answer with missing data I end up with missing data in the sum computed variable (makes...
20. ### comparing percentage when without knowing n? what test?

I'm trying to do a meta analysis of some poll results and though I know the sample size in general, if I'm comparing the reported results and they say things like "78% of Toyota owners like baseball" but they don't say which percentage of people overall were Toyota owners, can I still test for...