## What is an example of a dichotomous variable?

Dichotomous (outcome or variable) means “having only two possible values”, e.g. “yes/no”, “male/female”, “head/tail”, “age > 35 / age <= 35” etc.

## Can dichotomous variables be continuous?

When two dichotomous variables are discrete, there’s nothing in between them and when they are continuous, there are possibilities in between. “Passing or Failing an Exam” is a continuous dichotomous variable. Grades on a test can range from 0 to 100% with every possible percentage in between.

**What is a dichotomous variable in statistics?**

A dichotomous variable is one that takes on one of only two possible values when observed or measured. The value is most often a representation for a measured variable (e.g., age: under 65/65 and over) or an attribute (e.g., gender: male/female).

**Is dichotomous qualitative or quantitative?**

Data that represent categories, such as dichotomous (two categories) and nominal (more than two categories) observations, are collectively called categorical (qualitative). Data that are counted or measured using a numerically defined method are called numerical (quantitative).

### Which of the following is a dichotomous variable?

A dichotomous variable is a type of variable that only takes on two possible values. Some examples of dichotomous variables include: Gender: Male or Female. Coin Flip: Heads or Tails.

### Is marital status a dichotomous variable?

Marital status, used as the main independent variable or, as I call it, the index predictor, is a dichotomous variable, named MARRIED in the analysis, with 1 = currently married and 0 = else. As marital status is measured at each of the six time points, MARRIED is a time-varying covariate.

**How do you identify a dichotomous variable?**

Dichotomous variables are nominal variables which have only two categories or levels. For example, if we were looking at gender, we would most probably categorize somebody as either “male” or “female”. This is an example of a dichotomous variable (and also a nominal variable).

**When does a variable become a dichotomous variable?**

A variable is naturally dichotomous if precisely 2 values occur in nature (sex, being married or being alive). If a variable holds precisely 2 values in your data but possibly more in the real world, it’s unnaturally dichotomous .

## When is a variable unnaturally dichotomous in SPSS?

If a variable holds precisely 2 values in your data but possibly more in the real world, it’s unnaturally dichotomous. Creating unnaturally dichotomous variables from non dichotomous variables is known as dichotomizing. The final screenshot illustrates a handy but little known trick for doing so in SPSS.

## Why are Division and average points not dichotomous?

However, the variables Division and Average Points are not dichotomous because they can take on multiple values. You can remember that dichotomous variables can only take on two values by remembering that the prefix “di” is a Greek word that means “two”, “twice”, or “double.”

**When to use point biserial correlation for dichotomous variables?**

Point-biserial correlation is used to measure the relationship between a dichotomous variable and a continuous variable. This type of correlation takes on a value between -1 and 1 where: -1 indicates a perfectly negative correlation between two variables 0 indicates no correlation between two variables