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Variables are characteristics in research that can take on various values, like age and test scores. There are two types of variables in research,...
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...
A significant part of the research process is investigating causal relationships between specific variables. You can do this through experiments or observations. Therefore, it...
One of the core elements in statistical studies is the type of variables in research you select. Choosing the best types of variables in...
In statistics, mediators and moderators help you understand the relationship between two variables. This article discusses the differences between mediator vs. moderator1, frequently asked...
The purpose of an experiment is to investigate whether a change in the value of an independent variable affects a dependent variable.
Extraneous Variables –...
Many fields of study utilize data in research to discover patterns and meaning. While correlation and causation may seem similar at face value, they...
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...
Operationalization is essentially the measurement of a phenomenon that is not directly measurable. Operationalization defines a concept to make it measurable, stand out and...
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