Factorial design refers to an experimental design containing more than one independent variable in which every level of each independent variable is combined with every other level. Moreover, It is a research method that can study more than one variable at a time; a research design that includes two or more factors.

Related Articles

Cohort sequential study at psychology-glossary.com■■■■■■
Cohort sequential study : Cohort sequential study refers to a research design that combines cross-sectional . . . Read More
Study at psychology-glossary.com■■■■■■
Study: In the psychology context, study refers to a structured investigation or research aimed at understanding, . . . Read More
Double-blind at psychology-glossary.com■■■■■■
Double-blind is defined as an experimental design in which neither the subjects nor those who dispense . . . Read More
Between-Subjects Design at psychology-glossary.com■■■■■■
Between-Subjects Design refers to a research design in which different groups of participants are randomly . . . Read More
Experimental Condition at psychology-glossary.com■■■■■■
Experimental Condition: Experimental condition in the psychology context refers to the specific environment, . . . Read More
Independant Variable at psychology-glossary.com■■■■■■
Independant Variable: Independent variable in the psychology context refers to the variable that is manipulated . . . Read More
Analogue study at psychology-glossary.com■■■■■■
Analogue study refers to a investigation that attempts to replicate or simulate, under controlled conditions, . . . Read More
Dependent variable at psychology-glossary.com■■■■■■
A dependent variable is what you measure in the experiment and what is affected during the experiment. . . . Read More
Internal validity at psychology-glossary.com■■■■■■
Internal validity refers to the certainty that experimental interventions did indeed cause the changes . . . Read More
Confound at psychology-glossary.com■■■■■■
confound refers to any factor occurring in a study that makes the results uninterpretable because its . . . Read More