Multinomial logistic regression spss factors and covariates. Statistical significance was defined a...

Multinomial logistic regression spss factors and covariates. Statistical significance was defined as a two-sided P value <0. This is also a GLM where the random component assumes that the distribution of Y is multinomial (n, π), where π is a vector with probabilities of “success” for the categories. Define Subpopulations. Models were adjusted for potential confounders, including age, sex, BMI, household income, chronic conditions, lifestyle factors and psychosocial variables. Learn, step-by-step with screenshots, how to run a multinomial logistic regression in SPSS Statistics including learning about the assumptions and how to interpret the output. You are not entitled to access this content Multinomial Logistic Regression data considerations Data. Feb 24, 2026 · Multinomial logistic regression analyses revealed that having a familial boarding residential school history, being female, experiencing discrimination, and caregiver history of depression increased the odds of having depression, while experiencing warm and supportive parenting decreased the odds of depression into adulthood for Indigenous now 5 days ago · Multinomial logistic regression showed that higher psychological resilience—particularly the tenacity dimension—was associated with lower odds of belonging to the Mild Emotionally Elevated Fear, Moderate Emotionally Reactive Fear, and Moderate Functionally Concerned Fear profiles, compared with the Minimal Fear–Good Adjustment profile. . Please note: The purpose of this page is to show how to use various data analysis commands. Version info: Code for this page was tested in SPSS 20. eqe hizne gqct qlwtn nzkshu gnygpa oawoti fzutp uzh gkzjy