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## Can you have more than one independent and dependent variable?

No. The value of a dependent variable depends on an independent variable, so a variable cannot be both independent and dependent at the same time. It must be either the cause or the effect, not both!

## How do you write the independent and dependent variables in an equation?

Algebraically, a linear equation typically takes the form y = mx + b, where m and b are constants, x is the independent variable, y is the dependent variable. In a statistical context, a linear equation is written in the form y = a + bx, where aand b are the constants.

## How do you choose independent and dependent variables?

An easy way to think of independent and dependent variables is, when you’re conducting an experiment, the independent variable is what you change, and the dependent variable is what changes because of that. You can also think of the independent variable as the cause and the dependent variable as the effect.

## Does an independent variable always need to have two levels?

Independent variables also have different levels. In some experiments, there may only be one level of an IV. In other cases, multiple levels of the IV may be used to look at the range of effects that the variable may have.

## Can an intervention be an independent variable?

Treatment / intervention – In an experiment, the treatment or intervention is the main independent variable that is being manipulated. The treatment or intervention is something that only participants in the experimental group are given. The term is typically used in experimental designs with random assignment.

## What is independent variable and dependent variable in psychology?

The independent variable is the variable that is controlled and manipulated by the experimenter. The dependent variable is the variable that is measured by the experimenter. In our previous example, the scores on the test performance measure would be the dependent variable.

## What are some examples of quantitative and qualitative data?

Differences between Quantitative and Qualitative Data

Quantitative Data Qualitative Data
Collected data can be statistically analyzed Collected data can just be observed and not evaluated
Examples: Height, Weight, Time, Price, Temperature, etc. Examples: Scents, Appearance, Beauty, Colors, Flavors, etc.

## What are some examples of qualitative data?

The hair colors of players on a football team, the color of cars in a parking lot, the letter grades of students in a classroom, the types of coins in a jar, and the shape of candies in a variety pack are all examples of qualitative data so long as a particular number is not assigned to any of these descriptions.

## What is an example of a qualitative test?

Qualitative analysis involves chemical tests, such as the Kastle-Meyer test for blood or the iodine test for starch. Another common qualitative test, used in inorganic chemical analysis, is the flame test.

2021-05-16