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Types of variables
28.01.23 Types of variables Time to read: 5min

Independent vs. Dependent Variables – Definition, Function & Examples

Variables are characteristics in research that can take on various values, like age and test scores. There are two types of variables in research,...
28.01.23 Types of variables Time to read: 7min

Confounding Variables – The Third Variable

A confounding (a.k.a. spurious) variable is any unacknowledged yet influential (i.e. extraneous) variable in a formal experiment, observation, or study. Left unexamined, rogue confounding variables...
24.12.22 Types of variables Time to read: 5min

Explanatory vs. Response Variables – Understanding The Difference

A significant part of the research process is investigating causal relationships between specific variables. You can do this through experiments or observations. Therefore, it...
10.12.22 Types of variables Time to read: 5min

Types of Variables in Research – Definition & Examples

One of the core elements in statistical studies is the type of variables in research you select. Choosing the best types of variables in...
10.11.22 Types of variables Time to read: 4min

Mediator vs. Moderator Variables – Definition & Examples

In statistics, mediators and moderators help you understand the relationship between two variables. This article discusses the differences between mediator vs. moderator1, frequently asked...
21.10.22 Types of variables Time to read: 6min

Extraneous Variables – Types, Examples & How to Avoid Them

The purpose of an experiment is to investigate whether a change in the value of an independent variable affects a dependent variable. Extraneous Variables –...
07.09.22 Types of variables Time to read: 6min

Correlation vs. Causation – Understanding the Differences

Many fields of study utilize data in research to discover patterns and meaning. While correlation and causation may seem similar at face value, they...
26.08.22 Types of variables Time to read: 6min

Control Variables in Statistical Studies

Control variables are the rulebook that governs statistical investigation. They're essential to (dis)proving hypotheses and protecting dependent variable(s) from undue bias. Control Variables – In...
29.03.21 Types of variables Time to read: 6min

Operationalization – how to do it right!

Operationalization is essentially the measurement of a phenomenon that is not directly measurable. Operationalization defines a concept to make it measurable, stand out and...