| What is a binary variable? | A dichotomous variable, one that can assume only two values. |
| What are common logarithms? | Base-10 logs |
| What is a likelihood function? | A number that summarizes how well a model's predictions fit the observed data. |
| What is logged likelihood? | The natural log of likelihood. MLE models generally maximize the sum of logged likelihoods rather the product of probabilities for computational reasons. |
| What is logistic regression? | a nonlinear regression model that relates a set of explanatory variables to a dichotomous dependent variable |
| What is a logistic regression coefficient? | a multiple regression coefficient based on the logistic model |
| What are logits? | A shorthand reference for natural log transformations of odds. |
| What is maximum likelihood estimation? | The parameter that is most consistent with the observed data. In other words, the observed data has a greater chance of occurring when the parameter equals the maximum likelihood estimate compared to the parameter equaling any other number. |
| What are natural logarithms? | Base-e logarithms; base e is approximately equal to 2.72. |
| What are odds? | the ratio of the frequency of one event to the frequency of a second event |
| What is an odds ratio? | a measure of association between two dichotomous variables in which the odds of having a trait or property in one group are divided by the corresponding odds of the other group |
| What is a percentage change in the odds? | Expressing the change in odds (as a result of a unit change in some explanatory variable) as a percentage. |
| What is a probability profile? | Identifies the change in the probability of an event occurring from a change in the value of independent variables. |
| What are sample averages? | Researchers generally estimate the effect of a change in the value of an independent variable on the probability of an event occurring for an observation with sample averages of other explanatory variables. |
| What are average marginal effects? | A method for analyzing the effect of an independent variable in logistic regression analysis; one estimates the change in the probability of the outcome from a change in one independent variable assuming all other predictors to assume their observed values for each case. |
| What are marginal effects at representative values? | retrieved by reporting changes in the probability of the dependent variable across the range of an interesting independent variable—and to do so separately, for discrete categories of another independent variable |
| What are marginal effects at the means? | retrieved by examining the effect of one independent variable on the probability of the dependent variable, while holding the other independent variables constant at their sample averages |
| What is probability? |