sem

  1. S

    Structural Equation Modelling....The simplest explanation you can give....

    Ever since last year that i started my research SEM has proved to be a daunting task. Reading a lot of books and articles....I still have some simple questions that I like answers for....Being familiar with other regression analyses, SEM has tested my limits to stats and I am finally here to ask...
  2. P

    Two CFA vs second-order CFA

    Hi All, I'm working on my dissertation, and am evaluating the internal structure of a 34-item scale. The model in which the scale is based off of is hierarchical, and is structured/ordered as such: (1st) items, (2nd) item-groups, & (3rd) sub-scales. To evaluate this information I would use a...
  3. B

    Confused with SEM and factor analysis

    Hello, I am confused about what to do with the data set http://www.4shared.com/file/pz9nnOLQ/all_hospitals.html. This data set has 29 variables, of which we have to discard the variables ID, FTEequivalent and Size as they are unnecessary. From the remaining ones, we have four dependent...
  4. J

    Problem fitting an SEM with latent variable

    Hello, I am having trouble with a Structural Equation Model. As you can see in the attached picture, my main outcome variable (F4) is a latent variable. When I run the model, all of the paths are significant in the hypothesized direction, but the Chi-square is very high (almost 10,000) and...
  5. M

    AMOS Bootstrapping - Mean Chi Square/df?

    Hi, I am working on a project modelling a variety of psychological outcomes for AIDS-affected youth in South Africa. Inevitably, some of our variables are not normally distributed, so we have used the bootstrapping procedure available in AMOS to estimate paremeters in the model...
  6. T

    Constraining LISREL Factor Loadings and Variance

    Hello! I've been using LISREL to do SEM using path diagrams. I've learned that constraining the loading on one of the path from the latent to its indicator will make the standardized coefficients to show correlation values. I am not sure when to constrain the variance of latent variable to 0...
  7. I

    Variance Extracted and Multicollinearity in Structural Equation Model

    Hello, I am a new user here, and I am quite in need of help with regards to statistical problems. :) I really appreciate it if anyone can help me. I am currently doing a kind of "predicting user behaviour" research using Structural Equation Model (SEM). My software of choice is LISREL 8.80. I...
  8. H

    using Hausman test for endogeneity to assess SEM model

    I've searched the internet and textbooks, but cannot find an answer to this question. Please help me out! It's a final step in my thesis. I have a SEM path model, consisting of all direct effects, and one mediator path. This mediator path is included in my SEM to control for the simultaneous...
  9. B

    SEM: negative coefficients

    I am doing a SEM/path analysis (using AMOS 17) find out out what predicts creative problem solving (CPS). Essentially I found that certain family processes predict one's personality, which in turn predicts CPS. This was based on the medium/strong correlations, but one sub-factor (father's...
  10. M

    Testing for tau equivalence in a simple CFA model, based on correlation matrix

    For an assignment we are provided with only a (polychoric) correlation matrix. One of the questions concerns the different measurement models that can be tested (congeneric, tau equivalent, parallel). My understanding of the course material would lead me to believe that analysing a...
  11. L

    Applying SEM model to mutually exclusive smaller datasets

    Hello, I have an SEM model I am happy with and I am examining the standardized path coefficients. Then when I split the original data set into almost equal sized, mutually exclusive two smaller sized datasets based on Gender and apply my original model to get the standardized path...
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    SEM - assumption of independence?

    Hello Can someone confirm for me that general uses of structural equation modeling require meeting the assumption of independent observations --- in other words one subject/case cannot generally provide more than one response for any given measured variable...? For example, if one...
  13. F

    multiplying Standard error of means

    Hi guys, I am new here (and also to statistics :o). I have a data set of many measurements. For each one of them I calculated the mean and the SD (deviation). From that I calculated separately for each of the data set a SEM. Now I would like to multiply, divide add and subtract this data...