binary data

  1. M

    Comparing distribution of two dependant binary variables different sample size

    Hello everyone, I have been searching for solution for my problem but keeps running into more questions so decided to finally ask for a bit of help. I am working with a dataset in which I want to compare efficiency of two detection techniques. Detection using both techniques are expressed as...
  2. B

    How to build a binomial mixed model?

    I have data whose structure is seen in the image below. You see one participant's responses in the second row. M1-4 through F3-6 are trials in which a binary response was made (participant chose one of two stimuli presented on the screen). These were M(ale) and F(emale) stimuli. 1 through...
  3. B

    Multiple Comparison of Percentages from Binary Within-Subjects Reponse Trials

    I have searched and read a lot about this but I'm still unsure which test is suitable for the following situation. Data come from a few hundred participants who saw, in each of several trials, a pair of stimuli and made a binary judgment (indicating which stimulus in the pair has a certain...
  4. Max_G

    Which stats test to use?

    Hi there, I want to analyse the impact of turning a production line on and off (variable X, binary) on the environmental quality of wastewater being discharged; more specifically, the suspended solids content (variable Y, continuous). I have a set of daily data for a whole month, which shows if...
  5. D

    Kappa for binary repeated measures

    Hi! I have two raters (patient and physician) who rate the a condition at several visits. I would like to account for inter-individual correlation when I estimate kappa. And I want to assess of there is a trend in kappa. For continuous data, the the cccrm package (R) could work. I´m unsure...
  6. J

    PCA or clustering on binary data?

    Hello, I have a dataset consisting of around 30 species of plants (rows) and around 50 variables (my columns) that are medicinal properties of the plant species, and which take on binary values; for instance, if a plant species has anti-fungal properties (one of the variables) it would have...
  7. E

    Is t-test appropriate for comparing percentages?

    I am trying to analyze a seed germination trial comparing 2 different germination treatments. I sowed seeds from 10 individual plants in 10 different petri dishes for each of the 2 treatments, with between 22 and 200 seeds per dish, and recorded germination rates (number of seeds germinated per...
  8. B

    Logistic regression, but no negative responses?

    So I am trying to model who is likely, from a list of addresses, to go to a store. I have lots of criteria about the people who have visited my store, but no data about who DIDN'T visit my store. I know if I had a 1,0 variable (visited store or not) that I could do logistic regression, but I...
  9. B

    Poor Cluster Quality in SPSS

    I'm conducting an analysis where I need to group my respondents to interest clusters. I have 34 interests and respondents could select multiple items. All these variables are binary, so I recoded all answers to 1/0. I'm aware that conducting hierarchical cluster analysis on binary data is not...
  10. U

    I'm stuck: How to 'bin' multiple binary variables and analyze within subject

    Hi, I have what feels like it should be a very easy analysis to work out, but I've been trying for hours and I can't figure it out. I'm using SPSS by the way. I have 10 different (different objects) binary response variables (yes/no) that I need to turn into two different groups for...
  11. M

    Interpretation of GLM output for binomial family

    Hello everyone, I need help interpreting GLM output for binomial family and determining if this GLM is the correct one to use according to what I need to analyze. Noninvasive genetic sampling of a wild cat was conducted to determine sex. Different environmental factors were identified to...
  12. R

    Help with Probabilistic Modeling with many elements in simulation with unknown probs.

    I'm wanting to create a probabilistic model based on several simulations, where I have a binary outcome (go or no-go) and a variable input. The old way of formulating the proability distribution was a straight-forward, curve-fitting of the input variable versus the "go or no-go" outcomes...
  13. M

    Which test to use - Binomial or Fisher's Exact?

    Hello, I am trying to compare 2 random binary samples, and I am confused on which test to use. This is to test the effectiveness of an algorithm in identifying risk factors in patients. If the patient is diagnosed with at least 1 risk factor that is a success (1) and if they are not...
  14. H

    Choice of test in R. Repeated measurements, binary response and missing data...

    I have two treatments and one co-variate (affect the response variable but is also correlated with one of the treatments). Each replicate has been examined for the presence/absence of morphological characters at several time point but there are unfortunately a lot of missing data. What would be...
  15. M

    post-hoc test after principal coordinate analysis

    Hello, I'm going to explore my dataset, composed by 100 subjects and 14 binary (1,0) variables. I was wondering if my protocol makes sense: 1) I obtained a distance matrix from the dataset, by using Hamming distance 2) I performed a principal coordinate analysis on the obtained distance...
  16. E

    multiple comparison of chi square tests of binary data

    Hello everybody, the code below is to illustrate how I examined the (significant) differences in certain characteristics between different regions. The data set is non-parametric so I used the Kruskal Wallis test and for multiple comparison between the regions I used the function kruskalmc. I...
  17. M

    Variance Components and Intraclass Correlation Coefficients for Binary Data

    Hi, I am performing a variance components analysis of a 3 level nested model of binary data. Given the lack of homoscedasticity at the individual data, how do I calculate ICCs?
  18. Y

    Logistic regression or GLM?

    Hi everyone: I have a question about using logistic regression or GLM with only categorical variables as independent variables. The dependent variable y is shown as binary coded data where 1=males and 0=females. Each corresponding to an excrement. The independent variables are as follows...
  19. P

    Logistic regression problems with zero variance data

    Hello, I am working with binary data. My research question was whether different types of learning experiences would impact whether or not a child would produce a particular response (0 or 1) within each of four different tasks. My predictors are: - condition (there were four learning...
  20. S

    Stratifying data with chi square analyses

    Hi I've carried out a study where 26 participants had to make decisions about 20 scenarios (i.e. 520 decisions in total). Decisions are marked as 'correct' or 'incorrect' i.e. are binary. I believe that chi square analysis is the "go to" in these situations. I was wondering if there was a...