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Types of variables
27.11.24 Types of variables Time to read: 3min

Binary Variables – Definition, Types and Examples

A binary variable, sometimes also called a binomial random variable, is a variable with only two possible outcomes. It is mostly used in binomial...
03.04.24 Types of variables Time to read: 6min

Independent Variables – Definition, Use & Examples

Independent variables are a profound topic within research methodology. They are foundational tools for researchers, allowing them to manipulate and observe how they impact...
28.01.23 Types of variables Time to read: 5min

Independent vs. Dependent Variables – Use & Examples

Understanding independent vs. dependent variables of experimental design, statistical modelling, and hypothesis testing in various disciplines shapes a bedrock of methodology. An independent variable...
28.01.23 Types of variables Time to read: 6min

Confounding Variables – The Third Variable

Confounding variables are influential factors in research methodology, especially, in relation to experiments, observations, or studies. Rogue confounding variables may seriously mislead researchers, and...
24.12.22 Types of variables Time to read: 4min

Explanatory vs. Response Variables – The Difference

In statistical modelling, understanding the difference between explanatory vs. response variables is vital. The explanatory variable defines the independent variable or predictor variable and...
10.12.22 Types of variables Time to read: 10min

Types of Variables – Definition & Examples

A fundamental component in statistical tests is the methodology you employ in selecting your research variables. The careful selection of appropriate variable types can significantly enhance...
21.10.22 Types of variables Time to read: 6min

Extraneous Variables – Examples & How to Avoid Them

In the methodology of academic research, addressing extraneous variables is crucial to maintain the integrity and validity of your study. These are variables that...
07.09.22 Types of variables Time to read: 6min

Correlation vs. Causation – The Differences

Correlation and causation, both crucial methodologies in the field of research, play distinct roles in the interpretation of data relationships. While correlation quantifies the...
26.08.22 Types of variables Time to read: 5min

Control Variables in Statistical Studies

Control variables are factors in a study that are kept steady to avoid them influencing the dependent variable. This way, they limit the impact...
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...