Free tool that turns the coefficients table of a binary logistic regression (SPSS, R or jamovi) into an APA 7 table with B, standard error, Wald, p, odds ratio and the 95% confidence interval of the OR, plus a note with N, the model χ², Nagelkerke R² and Hosmer-Lemeshow, and the results paragraph. It only needs B and its standard error: Wald = (B/SE)², OR = e^B and CI = e^(B ± 1.96·SE).
Worked example: 240 patients, 68 drop out of treatment. For anxiety, B = 0.135 and SE = 0.041 give Wald = 10.84, p = .001 and OR = 1.14, 95% CI [1.06, 1.24]: each extra GAD-7 point multiplies the odds of dropping out by 1.14. With 68 events and 4 predictors there are 17 events per variable, above the minimum of 10 (Peduzzi et al., 1996).
How do you interpret an OR below 1? As reduced odds: OR = 0.80 is 20% lower odds per unit of the predictor. And odds are not probability: with common outcomes the OR overstates the relative risk.
Turn SPSS or R logistic regression output into an APA 7 table with odds ratios and 95% CIs, the model χ², Nagelkerke R² and the results paragraph.
If you use it in your thesis or in a paper, cite it so that readers of your Methods section know how the calculation was done.
Ciudad-Fernández, V. (2026). APA logistic regression table generator [Web application]. Ciudad Science. Retrieved October 14, 2026, from https://analisisdedatospsicologia.com/en/tools/apa-logistic-regression-table-generator
For your Methods section: The logistic regression results (coefficients, odds ratios and their confidence intervals) were formatted in APA 7 style with the Ciudad Science APA logistic regression table generator (Ciudad-Fernández, 2026).
@misc{ciudadfernandez2026tablalogistica,
author = {Ciudad-Fern{\'a}ndez, V{\'i}ctor},
title = {{APA logistic regression table generator}},
year = {2026},
publisher = {Ciudad Science},
howpublished = {Web application},
url = {https://analisisdedatospsicologia.com/en/tools/apa-logistic-regression-table-generator},
urldate = {2026-10-14},
note = {Accessed 2026-10-14},
}