2
votes
0answers
30 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
274 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 ...
-1
votes
0answers
16 views

how to get covariates for these type of data [closed]

i have data on teachers-students responses on the usage of some particular teaching methods, I intend to use ancova for the analysis but don't know how to get the covariates. please advice me?
4
votes
2answers
245 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 ...
3
votes
1answer
259 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
245 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 ...
5
votes
3answers
3k 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
167 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
106 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 ...
6
votes
3answers
3k 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
292 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
323 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, ...
2
votes
1answer
241 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
539 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 ...