0
votes
0answers
14 views

How to do planned comparisons on repeated measures (GLM repeated measures) using SPSS?

I have issues figuring out how to perform planned comparisons using a GLM for repeated measures analysis. More specifically, I have one group of subjects, assessed with 2 different scales (3 subscores ...
0
votes
0answers
26 views

General Linear Model (GLM) with Continuous Variable and Categorical Variable (SPSS)

I would like to perform a GLM with a continuous variable and categorical variable as fixed factors. For e.g. Weight predicted by Height and Gender. From what it seems, the univariate GLM option in ...
1
vote
0answers
22 views

SPSS GENLINMIXED for crossed groups

thank you for any help you might offer. I have data in which the groupings are crossed, not nested. Each player responds to the same set of items. In MIXED, I give a separate intercept to each ...
2
votes
1answer
83 views

Generalized linear model: link function Power(-1)

During study our of statistics in my psychology coursework, we had to teach ourselves how to use generalized linear models in SPSS (only basic knowledge). For an exam we may also use generalized ...
1
vote
1answer
95 views

Statistically prove the effectiveness of a treatment using GLM repeated measurements

I have two lots of samples: one is the control lot and the other undergoes some treatment. I did three measurements for the samples: one at the initial time (T1) ...
0
votes
1answer
76 views

Best way to estimate a regression with reaction times

I have reactions times in a no-normal distribution, so I am using logarithms. Which can be the best way to estimate a regression? Later, I would like to plot the results according to the age of my ...
1
vote
0answers
105 views

Generalized Linear Mixed Model

I have three independent variables (all binary) and two interaction variables that I would like to test for their effect on the dependent variable "Awareness_level". This dependent variable is also ...
0
votes
0answers
22 views

Power analysis for log-gamma model

I fitted a generalized linear mixed log-gamma model in SPSS with 1 fixed factor (binary), patient ID as a random intercept and a continuous variable as (fixed) covariate. How can I calculate the ...
1
vote
1answer
125 views

Inverted SPSS results: Logistic regression command vs. Genlin?

I want to do a logistic regression in SPSS. However, since I analyse unemployment spells the subjects are sometimes repeated (violating the independence assumption of the regression). One way of ...
3
votes
0answers
375 views

What does the Scale parameter mean in linear regression?

I have started to use the GENLIN procedure in SPSS more than any of the specific dialogues, but I don't understand the Scale parameter or why it has the effects it ...
5
votes
4answers
1k views

What regression analysis should I perform on my data and why?

I am a law student researching which factors influence the CSR (corporate social responsibility, GSE_RAW) behavior of companies. As my studies didn't offer any ...
4
votes
2answers
901 views

Generalized Linear Model in SPSS with common values among predictors treated as subpopulations. Why?

I am teaching a class on logistic regression with SPSS. The textbook supplies a sample data set with a binary predictor and two numeric covariates. The sample contains 1000 rows and a number of these ...
5
votes
1answer
2k views

Interaction in generalized linear model

I have 2 continuous variables as my predictors and the interaction between them, so 3 effects all together (when I center my predictors only the interaction is significant). I am using a binary logit ...
6
votes
1answer
457 views

Wald vs. LR $\chi^2$ tests in SPSS generalized linear models

I'm using the generalized linear models function in SPSS with a normal distribution and identity link function. If I choose the likelihood ratio $\chi^2$ statistic, I get the same results as the ...
12
votes
3answers
8k views

Difference between generalized linear models & generalized linear mixed models in SPSS

I am wondering what the differences are in SPSS between analyze-> generalized linear models-> generalized linear models & ...
3
votes
1answer
272 views

Why does -2*LL differ when using binary logistic regression vs GLM binary logistic in SPSS?

I'm comparing plausible models selected a-priori to predict a binary response variable. I used binary logistic regression in SPSS20 and obtained AIC=-2*LogLikelihood+2k where k is the number of ...
1
vote
1answer
156 views

Basic information or texts required about modelling k bernoulli trials

I have been presented with a dataset comprised of individuals and the number of teeth they have had extracted. The maximum is 32, and almost half of the data are zeros. I have been asked to suggest an ...
8
votes
3answers
8k views

Sidak or Bonferroni?

I am using a generalized linear model in SPSS to look at the differences in average number of caterpillars (non-normal, using Tweedie distribution) on 16 different species of plants. I want to run ...
2
votes
1answer
473 views

Running transformed data with a Generalized Linear Model in SPSS

I am running a generalized linear model in SPSS on data highly skewed to the right with a bunch of zeroes (average # caterpillars per tree species branch sampled) so I decided to use the Tweedie ...
1
vote
0answers
394 views

Fitting generalized linear model with covariate

In our experimental design, we are assessing the effect of TMS on decision making. Our data is not normally distributed because our assesment test results in mean count data (ultimatum game). Besides, ...
3
votes
2answers
348 views

Half-normal distributed DV in generalized linear model

My dependent variable is, by origin, absolute residual* left after some regression; it is distributed half-normally. Now I plan to use Generalized linear model in SPSS (GENLIN) to regress it on some ...
1
vote
1answer
1k views

Z score transformation for testing group differences in correlations

SPSS Help provides the following help for testing group differences in a correlation, using the GLM approach. See link. It first requires that X and Y are transformed into z scores. Question: When ...