hierarchical

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    Constant not sig. in multiple regression - does it matter?

    I did a hierarchical multiple linear regression in SPSS with three predictor variables. All the variables have high F-values and are highly significant at each step of the model, but the constant is not significant (0.079) in the last step. Should I disregard all the results just because of...
  2. P

    Mixed Modelling for Longitudinal Research

    What does random intercept and random slope mean in terms of longitudinal research?
  3. S

    How to analyze repeated measures game data with changing difficulty levels?

    Participants: 19 children participated in the study. Children were grouped in groups G1 (N=8) and group G2 (N=11) based on their behaviors. A pre-assessment of children behavior in the classroom is done for both the groups G1 and G2 by their teacher in a form of questionnaire. Task: The...
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    Hierarchical regression for a complex model

    So I am testing my own model but it is more complex than I have dealt with before. I know I need hierarchical regression, and I'm using SPSS (I have no choice in programme, sorry), but I can't find a tutorial close enough to what I'm doing to be sure it's right. I have one IV (3 categories...
  5. S

    Over-simple Stats?

    Hi all, This should hopefully be a really simple question but I think I am confusing myself over a throwaway comment that someone made.... Say I have 20 mice undergoing two different treatments, so 10 mice in each group. From each mouse I take two muscle biopsies, same muscle different...
  6. L

    Improvement of predicitve power in logistic regression - when is it significant?

    I've posted this in another forum before but didn't get answers, so I try it here again I'm running a hierarchical logistic regression to find out if/how block 2 improves the predicted power in addition to block 1, so what I need is the value that is equal to ΔR2 in blockwise multiple...
  7. L

    Stepwise and Hierarchical regression - can these 2 be combined?

    Hi all, I have run both hierarchical and stepwise methods on my data with 34 IVs (categorized under 7 groups of variables), using SPSS. The hierarchical regression allows these 7 groups of variables to be entered in the order that I want, and the SPSS output shows a coefficient table which...
  8. M

    hierarchical regression output interpretation

    Hi everybody, I have a realy hard time interpreting hierarchical regression in general but I am reading a study now that really confuses me. Here is the output they present to you http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2946618/table/T4/#TFN8 in the text it says that "in step1 (child...
  9. M

    How do I apply the bonferroni correction in hierarchical regression?

    I am conducting a hierarchical multiple regression with 6 predictor variables (2 dichotomous, 1 continuous, 3 2-way interactions) entered over 4 steps. I know that I need to control for Type I error with so many predictors, and I'm thinking of using a Bonferroni correction. My question is: do I...
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    Dendrogram Not Working for Method: Wards, Measure: Cosine?

    I'm running an Hierarchical Cluster Analysis. When I run with Method: Wards, Measure: Euclidean, I get a beautiful dendrogram: The clusters with Method: Wards, Measure: Euclidean, are not nearly as useful as the clusters I get on this data using Method: Wards, Measure: Cosine. However...
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    HLM Questions

    I'm trying to get familiar with Hierarchical Linear Modeling (HLM) for my thesis and have some questions. Please answer whatever you can! I have performance data for 1100 employees (Level 1) nested into 169 supervisors (Level 2). I want to see if certain characteristics of performance (e.g...
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    hierarchical random effects structure in GLIMMIX

    Hi All, I have a question about complicated random effects structures. Please bear with me. I am trying to construct a model in GLIMMIX that has a spatially hierarchical (i.e. nested), repeated measures random effects structure. The problem is how to correctly account for a random observer...