0
votes
0answers
12 views

hierarchical logistic regression Block non-significant, interaction significant

I'm using hierarchical logistic regression and having some difficulty. Im trying to predict self-harm vs none based on IVs age, gender, alcohol, educational attainment. They are all yes/no except ...
1
vote
0answers
47 views

Logistic Regression: should I worry about coefficient correlation matrix?

With SPSS (v18), in the output of a logistic regression after the "Variables in the Equation" section, there is a Correlation Matrix which represents the correlation of the coefficients. What do ...
0
votes
0answers
14 views

Iinterpretation of coefficients of multiple comparisons in a logistic regression model

I'm confused about how to interpret coefficients in relation to the reference categories. I have two variables, A and M. A is a 3-level variable and M is a 4-level variable. The reference category for ...
1
vote
1answer
447 views

Binary or Multinomial Logistic Regression in SPSS: Interpretation and Reference Categories

I am trying to analyze my data using Multinomial Logistic Regression whereby my dependent variable is a clinical outcome (sick vs healthy) and 1 independent variables (Factors) are in several ...
0
votes
0answers
20 views

How to get odds ratio when combining multiple tests in logistic regression in spss?

we get odds ratio in logistic regression for predictive accuracy of a test. how do we get one odds ratio from combining more than 1 test in predicting outcome? how do we enter the data to get this in ...
1
vote
1answer
27 views

SPSS cslogistic note

I'm calculating odds ratios using the following model. I need to know what the last note means. I have stated the levels for odd ratios for the levels I'm interested in, so I don't know what SPSS ...
5
votes
2answers
53 views

Have population, use inferential statistics? Also, non-normal dependent variable, what to do?

Background: We are looking at parental leave in Iceland. We are particularly interested in whether the economic crisis and the resulting changes in parental leave legislation affected the time taken ...
1
vote
0answers
113 views

Leave one out cross validation for rare events logistic regression in SPSS

I am writing thesis about predicting which corporate takeover targets attract a competing bidder. I first estimated a model using a logistic regression. The sample consists of 1350 single-bidder ...
2
votes
2answers
338 views

How to select a subset of variables from my original long list in order to perform logistic regression analysis?

My situation: small sample size: 116 binary outcome variable long list of explanatory variables: 44 explanatory variables did not come from the top of my head; their choice was based on the ...
1
vote
1answer
61 views

Should I analyze variables separately or together?

I have one categorical variable (on a diet: yes or no) and two numerical variables (patients heart rate and ...
1
vote
2answers
171 views

Confidence interval for the intercept in logistic regression

Some major commercial statistical packages (e.g., SPSS) do not report a CI for the intercept term in logistic regression. [Based on answer below R does provide CI for intercept] Why might confidence ...
2
votes
2answers
76 views

Logistic regression with an independent variable that only applies to a subset

I'm trying to perform a logistic regression with the dependent variable being whether a potential customer who attended an event purchased or did not purchase. A subset of potential customers at the ...
1
vote
2answers
59 views

.999 signifiance query

I am getting the following result for one of my variables after running a logistic regression. Basically I have a set of binary dependent and one independent variable. One of the dependent ...
0
votes
0answers
79 views

Logistic regression control variables vs. layer in crosstabs

I would like to know how SPSS controls for variables in logistic regression in order to report the correct "controlled" OR. The specific case which bothers my is as follows: Let's say I have one IV ...
2
votes
3answers
623 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 ...
3
votes
0answers
246 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
113 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
204 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
306 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
130 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
206 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
352 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
156 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
334 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
301 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
110 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
85 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
295 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
1k 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
311 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
144 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
747 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
105 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
1answer
134 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
22 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
290 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
939 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
160 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
223 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
1k 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
196 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
398 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
4k 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
151 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
1k 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
2k 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
802 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
174 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
3k 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 ...