0
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0answers
11 views

How to treat “Missing Value Analysis” test results (problems)

I have a problem with Missing Value Analysis. I am using SPSS version 20. I am trying to test whether missing values are at complete random. As I know in order to ensure missing values are completely ...
1
vote
0answers
7 views

Best Multiple Imputation Method for Multiple Surveys Mixed Together, Presented Randomly?

I am working with a dataset containing data from 15 different surveys. The surveys were presented all as one battery to participants, with questions from all surveys essentially placed into a pool and ...
1
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0answers
24 views

Repeated measures ANOVA with missing data

I have a DB with multiple missing values (scale, ordinal and nominal). I used multiple imputation to fill in these missing values. How can I perform a repeated measures ANOVA on these (5) datasets? ...
0
votes
0answers
22 views

Spatial and temporal effects in water quality data

The data I have is 20 sampling points in a water distribution network that have been sampled weekly during 4 months for different parameters (chlorine, turbidity, disinfection by-products, ...). Some ...
3
votes
2answers
101 views

How to approach missing data…ignore or not to ignore?

What would be the best option when you come across missing data. Do you exclude that person completely from the data analysis or not. If not then how do you go about it? i have data on two groups at ...
2
votes
0answers
61 views

How to code and analyze skiped questions with SPSS

sorry if my question may seem rather silly, but I'm not well up on statistics and need a piece of advice. I have some cases in my dataset where respondents have abandoned the survey half-way, so I ...
2
votes
1answer
153 views

Multiple imputation for missing values

I would like to use imputation for replacing missing values in my data set. I have some constraints , for example I dont not want imputed variable x1 be less than ...
2
votes
1answer
282 views

Missing data SPSS paired samples t-test

I have approximately 20% data missing in my sample (n=3215). I aim to assess the pre-post differences on a psychometric scale. Especially post measures are missing because of follow-up issues. What to ...
1
vote
1answer
479 views

Monotonic and non-monotonic patterns of missing values: how do they look like?

I was reading the user's guide of SPSS on missing value analysis and I found the terms monotonic and non-monotonic pattern of missing values. The terms are not quite clear to me. They used ...
3
votes
1answer
1k views

How should I define missing values due to skip questions in SPSS?

I have a questionnaire that contains some skip questions. Like, say, the 3rd question is a yes/no type question. Only those who answered "yes" to the 3rd question are requested to answer the 4th, 5th ...
3
votes
1answer
4k views

How to remove blank string values from my analysis outputs in SPSS?

I'm fairly new to the world of statistical analysis so please excuse me for asking a probable rookie question. I created a google forms survey and after I got the desired sample size I used the xls ...
1
vote
1answer
626 views

Mixed linear model with repeated measures in SPSS

I'm trying to run a mixed linear model analysis with SPSS. When I try to run the analysis, SPSS gives the following error message: ...
3
votes
1answer
4k views

How to handle missing data in a logistic regression using SPSS?

I have a data-set of genetic variants which I'm trying to use as predictors for a simple phenotype, and for starters I use a binary logistic regression in SPSS. I have around 900 individuals, and for ...
1
vote
1answer
113 views

How to find group differences with irregularly measured, nested, and missing data?

Background: I have a dataset, which consists of waterlevel measurements over time at different locations. However, the locations are irregularly measured in different years. Therefore my data consists ...
2
votes
2answers
1k views

Imputing missing data for Likert scale variables

I am in the process of imputing data (two variables that are 3 point Likert type responses and items of both variables yield multiple subscales). While these variables are ordinal variables, given ...
4
votes
2answers
2k views

Multiple imputation on single subscale item or subscale scores?

Recently I am conducting a research on the relationship between motivation/attitude variables (Gardner's model) and English language proficiency in the Philippines. I encountered a problem: missing ...
6
votes
1answer
113 views

Getting an average measurement based on two raters for cases where data is missing for one rater

Context: I'm investigating behaviour in a clinical study involving children. I had both parents and teachers completing questionnaires to inform an understanding of the same underlying constructs, ...