1
vote
3answers
188 views

How can I improve the predictive power of this logistic regression model?

I am using SPSS to analyze a data set which aims to predict whether individuals have cancer based on five symptoms (a, b, c, d, e). In this data set most individuals have cancer. I ran a Binary ...
-1
votes
0answers
42 views

Multiple regression between ordinal variables [duplicate]

Can I carry out regression between 3 independent ordinal variables (Feelings from an ad; Judgement of an ad; ...
3
votes
0answers
79 views

Binomial logistic regression in SPSS using survey weights

I am running a logistic regression in SPSS with a sample that uses survey weights. The sample size is 1000 and the weights are along the lines of .86 or 1.23 depending on the case. I am using the ...
1
vote
0answers
55 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
102 views

Logistic regression model internal validation in SPSS

Please help! I have developed a logistic regression model for prediction of a binary outcome at a range of different times following a set point. This gave me different models with different ...
1
vote
2answers
159 views

Logistic regression, SPSS ignores my reference category and assumes another one

I am modelling logistic regressions in SPSS, the same model for different countries (well, with slight differences in the independent variables set due to collinearity diagnosis and stepwise results). ...
1
vote
1answer
86 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 ...
1
vote
1answer
178 views

For 5 point Likert scale questions and binary dependent variable, which regression analysis should I use?

For 5 point Likert scale questions and binary (0 or 1) dependent variable, which regression analysis should I use? Can I use a binary logistic regression on SPSS? There are two or three questions to ...
2
votes
1answer
216 views

Rare event logistic regression

I have a situation in which that there are 4 cases with a condition per 1000 people surveyed (binary). I am interested in performing a logistic regression to determine the risk factors (binary). Is it ...
0
votes
1answer
85 views

Weighted sample and logistic regression

I am doing logistic regression in which I have a weighted sample data. Should I should have the weight option on or off when doing logistic regression?
1
vote
1answer
139 views

Blocks and other questions about logistic regression with SPSS

I am trying to use logistic regression in SPSS. I am wondering, do I have to tell SPSS that, for example Gender, is a categorical variable? Also, I am planning to ...
0
votes
1answer
231 views

Binary logistic regression on SPSS 20 - output seems inconsistent and illogical

I have one categorical dichotomous dependent variable (yes/no - retention of newly learned words) and two independent variables - both are categorical. One independent variable is "delay between ...
2
votes
1answer
95 views

Adding variables to the model one by one, or at the same time

What are the benefits of adding the variables into a model one by one, as compared to adding them all at the same time? As I see in most research, the first model that is tested is consisted of all ...
0
votes
0answers
83 views

Goodness of fit vs. significance

If you had two models - one with a better fit, and one with predictors of higher significance - which one would you choose? Keep in mind that both models are considered a good fit. One has a 3% ...
1
vote
1answer
214 views

Why do Minitab and SPSS give opposite results in Ordinal Logistic Regression?

I run an ordinal logistic regression model using both SPSS and Minitab. The dataset is exactly the same. The results are exactly the same, but in opposite directions. I have not manipulated default ...
1
vote
2answers
782 views

How to test a curvilinear relationship in a logistic regression

I was looking for some information about curvilinear relationships (quadratic function, to be precise) in logistic regression online, and couldn't really find much about it. I am interested if that ...
4
votes
2answers
228 views

What are the implications of a perfect fit model?

I perform logistic regression with a relatively small dataset (N=65), using 12 parameters (11 variables, one constant, no interactions), which results in a perfectly fitting model (in SPSS). I have a ...
0
votes
2answers
116 views

Constructing a missing-dummy; why doesn't SPSS recognize the 'missings'?

A short question concerning the constructing of a 'missing-dummy', which I will consequently add to my logistic regression. This missing-dummy gives value '1' to the cases where data concerning a ...
0
votes
1answer
449 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
92 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
277 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
103 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
23 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
275 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
668 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
146 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
2answers
189 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
964 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
172 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
307 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
1k 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
3k 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
138 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
950 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
1k 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
596 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
161 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
2k 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
879 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
640 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 ...
7
votes
3answers
1k 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
756 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
215 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
2k 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 ...
8
votes
1answer
2k 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 ...
5
votes
3answers
2k views

Comparing logistic regression coefficients across models?

I've developed a logit model to be applied to six different sets of cross-sectional data. What I'm trying to uncover is whether there are changes in the substantive effect of a given independent ...
4
votes
0answers
735 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
933 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(?). ...