simple_slopes_analysis_logistic: Simple slopes analysis with logistic regression analyses

In jinkim3/kim: A Toolkit for Behavioral Scientists

Simple slopes analysis with logistic regression analyses

Description

Conduct a simple slopes analysis with logistic regression analyses, typically to probe a two-way interaction when the dependent variable is binary.

Usage

simple_slopes_analysis_logistic(
  data = NULL,
  iv_name = NULL,
  dv_name = NULL,
  mod_name = NULL,
  round_b = 2,
  round_se = 2,
  round_z = 2,
  round_p = 3,
  focal_values = NULL
)

Arguments

data	a data object (a data frame or a data.table)
iv_name	name of the independent variable (IV)
dv_name	name of the dependent variable (DV)
mod_name	name of the moderator variable (MOD)
round_b	number of decimal places to which to round coefficients from the regression analysis (default = 2)
round_se	number of decimal places to which to round standard error values from the regression analysis (default = 2)
round_z	number of decimal places to which to round t statistics from the regression analysis (default = 2)
round_p	number of decimal places to which to round p values from the regression analysis (default = 2)
focal_values	this input will be used only in cases where MOD is continuous. In such cases, what are the focal values of the MOD at which to estimate the effect of IV on DV? By default, values corresponding to the mean of MOD, and mean of MOD +/-1 SD will be used.

Examples

simple_slopes_analysis_logistic(
data = mtcars, iv_name = "vs", dv_name = "am", mod_name = "hp")
simple_slopes_analysis_logistic(
data = mtcars, iv_name = "disp", dv_name = "am", mod_name = "hp")

jinkim3/kim documentation built on Feb. 26, 2025, 10:03 a.m.