missing values

  1. A

    Which ICC to choose if there are missing values?

    I want to say that I am really sorry if this question has already came up but after looking in different posts I could not find good answer. I have 1500 participants and their trust was measured so I have variables: - trust in EU - trust in giverment - trust in political party - trust in...
  2. T

    conditional copy/paste similar to excel vlookup function--please help :(

    Hi, if you can help me I would appreciate it so much...I've been trying to figure this out for hours and I have a big dataset and missed deadlines. I am assigning random ID numbers to already existing IDs. The IDs each have multiple cases. I have assigned a random ID to the first occurrence...
  3. B

    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 and 6th question and those who answered "no" are requested to skip these three questions. I...
  4. Q

    Question about dealing with missing values in regression

    Hey guys, I have a dataset with ~50 variables, but my dataset is incomplete. For some of these variables (e.g. those for gender) i have created dummy variables to compensate for this so that when i run a regression with these problem variables, i include the variable and the newly created...
  5. D

    Binary logistic regression. missing values

    Hi. I have a question about missing values. My dependent value is whether the respondend voted in the last election or not - N=2600 cases. I want to build a model with several independent variables (income, education, parrty identification etc.) but I have a problem. If these independent...
  6. A

    calculate portfolio of varying size based on past returns

    Dear all! First of all I would like to note that I am not trying to get someone to do the work for me. This is intended to be a feasibility question (i.e. I would like to know if it can be done and if so, where can I find more information on how to achieve it). So, here's what I would like...
  7. R

    How to tell SPSS what missing values are?

    I have imported a dataset into SPSS from Excel. In the Excel file, not all cells contained a value (=missing value). Once imported into SPSS, those cells now contain a dot (.), as follows: VAR_X VAR_Y VAR_Z ------------------------ 5,6384 5,9269 . . 5,6384 . 6,0186 5,6168...
  8. U

    [Select cases] - command that shows me only cases that have ">= X missing values"

    Dear community, That is my first post and I try my best to make it a smart one. I have used multiple sources for help already, however my problem is still unsolved, that is why I am writing the post. Currently I am working on a missing value analysis with the goal to use a multiple...
  9. S

    Missing value analysis with questionnaire subscales

    Hello all, I have a datafile with subscales totals from various questionnaires. Some subscales are from the same questionnaire, so if a participant didn't fill that questionnaire in, it has a missing value on two (or more) scales from the same questionnaire. I would like to know whether I...
  10. I

    Imputation Missing Value with Regression

    Hai, i'm new in here. I'm doing my final project now. Actually i'm not in statistics department or something about statistics. I'm in informatics faculty. It's about imputation missing value. And the method i used here is about regression. But actually i can't really get it how the method...
  11. Z

    Missing values with Row and Column Totals

    Hello everyone, I'm working with government panel data (yearly data of manufacturing industry (row) by continent (column)) that has a lot (about 10%) missing values that appear to be random. However, I do have the row and column totals, and I do have (in many cases), the surrounding years'...