types of variables in research


  • Types of Data: Quantitative vs Categorical Variables

    Data is a specific measurement of a variable – it is the value you record in your data sheet. Data is generally divided into two categories: 1. Quantitative datarepresents amounts 2. Categorical datarepresents groupings A variable that contains quantitative data is a quantitative variable; a variable that contains categorical data is a categorical ...

  • Parts of The Experiment: Independent vs Dependent Variables

    Experiments are usually designed to find out what effectone variable has on another – in our example, the effect of salt addition on plant growth. You manipulate theindependent variable (the one you think might be the cause) and then measure thedependent variable (the one you think might be the effect) to find out what this effect might be. You wil...

What are the different types of variables in research?

Variables represents the measurable traits that can change over the course of a scientific experiment. In all there are six basic variable types: dependent, independent, intervening, moderator, controlled and extraneous variables. In general, experiments purposefully change one variable, which is the independent variable.

What are examples of independent variables in research?

Here's an example of independent and dependent variables for a market research study: Registered Marketing is an agency that aims to improve the effect of its marketing intentions. To assess its success, the company wants to determine the effectiveness of a campaign with rural and urban demographics.

How do researchers classify variables?

Researchers can further categorize quantitative variables into two types: Discrete: Any numerical variables you can realistically count, such as the coins in your wallet or the money in your savings account. Continuous: Numerical variables that you could never finish counting, such as time.

What are moderating variables in research?

Moderating variables are those that moderate or change the relationship between the independent and dependent variable. It is the variable that effects the relationship between independent variable and dependent variable. This variable either weaken or strengthen the relationship of IV and DV.

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