goodness-of-fit

  1. E

    Adequacy of logit model with oversampled data

    I fitted a binary logit model with unbalanced data which were oversampled using SMOTE. This gave an excellent ROC curve but very poor adequacy - the zero hypothesis of adequacy was rejected by Hosmer-Lemeshow test and le Cessie – van Houwelingen – Copas – Hosmer unweighted sum of squares test...
  2. B

    Goodness of fit test for categorical data with non-negative real numbersca

    An experiment that I conduct has 5 outcomes: A, B, C and D. I conduct 12 trials for this experiment. I observe, for example: Outcome : Frequency A : 2 B : 3 C : 0 D : 5 E : 2 Now, I have a model that predicts the...
  3. P

    calculating goodness of fit and choosing the right model without plotting

    I'm trying to evaluate the value of an object, depending on his characteristics. In order to do this, I'm building the following regression model `price ~ .`, using similar objects and for each variable I got min 20 observations I encountered following problem: none of the regression models...
  4. L

    Need help: reg EQS and Goodness of Fit tests

    Hi! Hope you guys could help me out here... I'm doing a path analysis on EQS, and the goodness of fit test results i got are the ff - i'm not sure if these are valid: Chi-square = .001, p.97 (df = 1) CFI = 1.00 RMSEA = 0.00 I'm not sure if this could be called a good fit, a perfect fit, or...
  5. A

    Goodness-of-fits tests.

    I honestly have no idea where to even start in this assignments. Any type of ell would be greatly appreciated. I can easily do the problems given in different forms but word problems have never been my strongest. According to the following distribution (digit, probability): (1, 0.301) (2...
  6. L

    Ordinal logistic regression: g-o-f test in Stata13

    I'm running an analysis on ordinal data in Stata13. I'm looking at 7 different DVs (separately), so parsimony is crucial--I will be repeating every analysis 7 times. For each DV, I have 9 IVs (ordinal, count, and binary categorical). I'm having 2 main problems: 1) I created composite...
  7. A

    Goodness of fit (QIC) in Generalized Estimating Equations (GEE)

    Hi, I have a question concerning goodness of fit which is measured as QIC in the GEE analysis: In general I learned that if QIC decreases the change in the model was for the better. => Decrease in QIC = Good However, I am trying to add new model terms and for all of them QIC...
  8. S

    Goodness-of-fit KS for multiple distributions

    Hi, I need to test the goodness of fit of various distributions using the Kolmogorov-Smirnov test. I am using SPSS for this (but also have matlab available). Doing this for a normal distribution wasnt a problem, however how can I perform and compare the goodness-of-fit for other distribution...
  9. S

    AMOS does not display TLI index or the

    Hi again, I have my AMOS output, and it gives me a number of options of goodness-of-fit tests. However, I read about a couple of them, and they are not displaying. Do i need to do something special to make it display the Tucker-Lewis Index value? There does not seem to be a display for the...
  10. C

    Lisrel: Goodness-of-fit with FIML and missing data

    Hi! When doing a missing-data analysis with FIML in Lisrel, I don't get a lot of goodness-of-fit statistics. I have discovered that you can calculate the fit-indices using the Chi-Square from an independence model. Now the question is first of all, how do I estimate an independence model...
  11. N

    testing different models using the same group of longitudinal data

    Description of my research Longitudinal growth data are fitted using parametric models giving growthcurves. Differentiating these growthcurves gives velocity curves. From every curve biological parameters can be determinated. Every parameteric model has function parameters. The same...
  12. A

    Augment a sample to improve goodness-of-fit

    Hi all, Lets say I have a sample from a normal (or any other) distribution, and the goodness-of-fit is reasonable. It is possible to improve this goodness-of-fit by sampling one more "good" variate. What about these "good" variates? How can I find one without trial-and-error? Even better, is...