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2d
answered In SPSS, how to compare two scatterplots of separate bivariate data to determine if the distributions are similar or not similar?
2d
comment In SPSS, how to compare two scatterplots of separate bivariate data to determine if the distributions are similar or not similar?
A simple powerful bivariate test for two sample location problems in experimental and observational studies (tbiomed.com/content/7/1/13) looks very promising. Also, stats.stackexchange.com/questions/55298/…, though it addresses this question for the case of multivariate normal distributions, may give you other useful pointers toward a strategy you can use.
Jul
20
answered Cross-correlation in R – dealing with missing values
Jul
16
revised Binary or Multinomial Logistic Regression in SPSS: Interpretation and Reference Categories
better fit
Jul
16
answered Removing attributes with few observations in R
Jul
16
comment clustering accuracy
To add to @iliasfl's good answer, clustering, unlike, e.g., OLS regression, has no single "right" solution, so some variation in cluster membership is to be expected on different trials.
Jul
16
comment The size of the sample for split validation
It's unclear which "ILP" you are using. Otherwise, you are asking largely for opinions about what you should do and about what is good or bad. This site is better suited to questions about how things work or about what the truth of a matter is.
Jul
16
revised Binary or Multinomial Logistic Regression in SPSS: Interpretation and Reference Categories
added 588 characters in body
Jul
15
awarded  Necromancer
Jul
15
answered Binary or Multinomial Logistic Regression in SPSS: Interpretation and Reference Categories
Jul
14
comment R - Analyzing Relationship Between Two (or more) Binary Variables
And the correlation coefficient (phi) that can be computed based on Chi-Square.
Jul
14
comment Binary or Multinomial Logistic Regression in SPSS: Interpretation and Reference Categories
If your dependent variable is binary, binary logistic regression is the way to go. What do you mean by "1 independent variables (Factors)?" ... What variable presents a problem with setting the reference category? ... What specifically "doesn't make much sense"? Also, how about showing your commands and your output so volunteers here can help you interpret and troubleshoot.
Jul
12
revised Testing for the significance of the difference-in-differences of adj. R²
stata is essential here
Jul
12
comment Correlation vs Partial Correlation to explore relationship in data
...This means you'll want to move from bivariate analysis to a multiple regression or ANOVA model. Whenever the relationship between the outcome and one predictor changes depending on the level of another predictor, one needs to assess the strength and direction of an interaction between the two predictors. You can find more on testing, assessing, and interpreting interactions by doing a search for that term on this site.
Jul
12
comment Correlation vs Partial Correlation to explore relationship in data
It's unclear to me from your wording just what is being considered a dependent variable vs. an independent variable. And it's hard for me to see how architecture can "perform" or "have difficulty." But as I understand you, you are wise to consider partial correlation (mediation effects), and you also need to consider statistical interaction (moderation effects)....
Jul
12
revised Why doesn't regression results change after bootstrap?
being picky, but it will matter for beginners' understanding
Jul
11
comment How to plot correlation coefficients from multiple regressions while leaving out some of the variables from the plot?
Glad to hear it and thanks for saying so!
Jul
11
revised How to plot correlation coefficients from multiple regressions while leaving out some of the variables from the plot?
deleted 52 characters in body
Jul
11
revised How to plot correlation coefficients from multiple regressions while leaving out some of the variables from the plot?
corrected wording
Jul
11
answered How to plot correlation coefficients from multiple regressions while leaving out some of the variables from the plot?