Tagged Questions

0
votes
1answer
31 views

SPSS: Plot a multinomial logistic regression

Very simply, I'd like to plot a graph that compares what is predicted by the model to the real observations. It seems easy for binomials, but for multinomial the graph that SPSS creates is pretty ...
0
votes
1answer
45 views

How can I interpret binary logistic table?

I´m beginner with SPSS and I have on problem on interpreting binary logistic results. So I have this table: Variables in the Equation ...
0
votes
0answers
45 views

Meaning of warning messages in logistic regression using multiply imputed data set in SPSS

I had a data set containing 2 dependent variables (one binary and the other ordinal) and a set of 30 co-variates (both continuous and categorical) with a lots of missing values. I heard that multiple ...
0
votes
1answer
30 views

spss: working with two binary/dummy variables

Am trying to set a few binary/dummy variables against each other, i.e. propensity_to_dance and gender. I assume that it' ok to ...
0
votes
0answers
21 views

spss 20 for mac: how to get probabilities after running a binary logistic regression [duplicate]

I have a binary variable that I'm investigating in SPSS, inclination_to_dance. I have another linear variable as well, ...
0
votes
0answers
20 views

Output of logistic regression model [duplicate]

I have built a logistic regression model using SPSS to predict a variable (0 or 1) The coefficients are as below: -0.005, 0.132, 1.349, -1.321,-0.265,-0.981, intercept = -1.522 when I sub in the ...
0
votes
0answers
200 views

I'm not sure how to interpret my binary logistic regression output from SPSS

My dependant variable is diagnosis of cancer malignant being 0 and benign being 1. And my covariate is mean radius (of the tumour). I get this: ...
4
votes
2answers
251 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 ...
0
votes
1answer
112 views

Multinomial log. regression in SPSS with a dummy independent variable

This is my test design which is simply a grouping variable: When I choose to regress a gender variable (w/m) onto this grouping variable with a multinomial logisitic regression model I'll observe ...
0
votes
0answers
52 views

Which test to compare two datasets?

I have used a stimulus (stimulus1) in a perception test, to see if the participants perceive it as A or B in a forced choice task. (the stimulus is composed of several features f1,f2...) Then I have ...
0
votes
2answers
140 views

CI for logistic regression

What does it means if no CI was given for binary logistic regression analysis in SPSS output?
0
votes
1answer
690 views

How do I interpret logistic regression output for categorical variables when two categories are missing?

I am using binary logistic regression; the dependent variable is 1 or 0; the independent variables are two groups: the first group includes continuous variables (...
1
vote
1answer
127 views

Multinomial regression with categorical choice and predictos and factor analysis

I have a non-ordinal categorical dependent variable with 3 choice outcomes and 20 ordinal categorical predictors and want to do a multinomial logistic regression. However, I want to reduce the ...
2
votes
0answers
236 views

Seeking an effect-size measure for simple effects in binary logistic regression in SPSS [closed]

I am trying to get an effect-size measure for simple effects in a binary logistic regression. I am using the GENLIN procedure in SPSS; here is the syntax: ...
1
vote
1answer
604 views

What does a chi-square test mean when no p-value is returned?

I did multinomial logistic regression using SPSS chi-square is .000 , df is 0 and significance =. So what does it mean significance = .?
3
votes
1answer
1k views

How to handle missing data in a logistic regression using SPSS?

I have a data-set of genetic variants which I'm trying to use as predictors for a simple phenotype, and for starters I use a binary logistic regression in SPSS. I have around 900 individuals, and for ...
0
votes
0answers
107 views

SPSS version 19 omits one covariate (of 8) in a binary logistic regression

When I run a binary logistic regression using SPSS 19, the program can analyse seven covariates, but consistently omits the eighth. This occurs regardless of which covariate it is. Is this a ...
2
votes
1answer
444 views

How to do a repeated measures analysis with binary DVs and a single binary IV?

I ran an experiment where participants were randomly allocated to 2 conditions. They then completed 3 seperate tests with a binary pass/fail outcome for each test. So I have 3 binary (within-subject) ...
0
votes
0answers
765 views

How do I conduct model selection for logistic regression in SPSS?

I am analyzing a set of clinical data where I try to predict an outcome by using certain covariates. I have already done univariate analysis and now am progressing to binary logistic regression, ...
3
votes
1answer
341 views

How to interpret relatively good -2LL value & Nagelkerke $R ^2$ without any significant IVs

My model's chi square says my 'full' model isn't significantly better than the null model. But my -2LL is 80 (isn't this pretty low?) and my Nagelkerke $R^2$ is .20. On the other hand, there isn't a ...
1
vote
1answer
133 views

Method to compare 2 models of different years (not by a dummy variable)

I'm a student in economics having trouble with a research in SPSS (BINARY LOGISTIC REGRESSION). I'm using 2 different datsasets with different samples, same variables, each dataset represents a ...
5
votes
1answer
1k views

Generalized estimating equations output in SPSS

I am hoping to confirm that I have a suitable way to analyse the different proportions of people who are categorized as left lateralised on the one hand, or bilateral/right lateralised on the other in ...
1
vote
1answer
581 views

binary logistic regression analysis (method=ENTER) model has all beta values are statistically non-significant

My binary logistic regression analysis (method=ENTER) model has all beta values are statistically non-significant. Should I include these predictors in the final binary logistic regression equation?
0
votes
0answers
352 views

How can I get stepwise selection for multinomial regression in SPSS to process?

I am using SPSS to analyze my data. It is multinomial regression I am using. I have 14 predictor variables of which 9 are categorical and 5 continuous. The response variable is categorical with three ...
6
votes
3answers
678 views

Multinomial logistic regression assumptions

What are the proper assumptions of Multinomial Logistic Regression? And what are the best tests to satisfy these assumptions using SPSS 18?
2
votes
1answer
621 views

Multinomial logistic regression

I would like to get help from an expert or anyone who knows about this. As a beginner in SPSS, I've googled the steps to do multinomial regression. I've decide to use multinomial because from what I ...
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 ...
4
votes
3answers
1k views

How to do post-hoc tests with logistic regression?

I looked at whether participants recycled after being subjected to a given message. There were three groups: a Control group, group A, and group B. Since my dependent measure was dichotomous ...
2
votes
1answer
1k views

How to perform repeated measures ordinal logistic regression using SPSS?

I'm usually a UseR. However, for didactic purposes I have to use SPSS today. I have to specify a General linear model with ordinal structure because what I'm examining is: Change in Likert scale ...
7
votes
1answer
1k views

Unexpected singularities in the Hessian matrix error in multinomial logistic regression

I have been doing multinomial logistic regression analysis using SPSS 19. I have encountered the following problem when I run the analysis procedure: "Unexpected singularities in the Hessian ...
4
votes
0answers
579 views

How to assess mediation effect in multinomial logistic regression?

I wonder if it possible to include a mediation effect in multinomial logistic regression. I have a categorical (3 categories) outcome variable and four predictors (all continuous). I expect one of the ...
6
votes
1answer
787 views

How to do a repeated measures multinomial logistic regression using SPSS?

Question: Can you do a repeated measures multinomial logistic regression using SPSS? Context: I need to do a regression on data at two points of time and I think this maybe the only way to go(?). ...
2
votes
0answers
383 views

Problem with casewise list in logistic regression

I am using binary logistic regression to test this model: logit(ρ1) = α + β1(INDDIR) + β2(INDCHAIR) + β3(BOARDSIZE) + β4(DIRSHIP) + β5(MEETING) + β6(EXPERT) + β7(INSTI) + β8(DEBT) + β9(LnSIZE) + ...
1
vote
3answers
835 views

Simple and multiple logistic regression

I have almost two questions. I need a single covariate logistic regression (LR) for each of my variables. Should I do it manually in SPSS, selecting each variable and do logistic regression? Is there ...
10
votes
5answers
1k views

Stepwise logistic regression and sampling

I am fitting a stepwise logistic regression on a set of data in SPSS. In the procedure, I am fitting my model to a random subset that is approx. 60% of the total sample, which is about 330 cases. ...
3
votes
2answers
2k views

Logistic Regression: Classification Tables a la SPSS in R

In SPSS output there is a pretty little classification table available when you perform a logistic regression, is the same possible with R? If so, how?
6
votes
5answers
2k views

Better Classification of default in logistic regression

Full Disclosure: This is homework. I've included a link to the dataset ( http://www.bertelsen.ca/R/logistic-regression.sav ) My goal is to maximize the prediction of loan defaulters in this data set. ...
3
votes
2answers
3k views

Binary or Multinomial Logistic Regression?

I wish to analyze the following : Predictor Variable (IV): Satisfaction of sexual needs as important (4 items scale and respond based on 4 point likert scale. Sum up to get the item score.) Response ...
4
votes
2answers
9k views

How to deal with not-binary categorical variables in logistic regression (SPSS)

I have to do a binary logistic regression with a lot of independent variables. Most of them are binary. Few ones are categorical with more than two possible values. Which is the best way to deal with ...