#1
In a 2x2 factorial design, how many independent variables are manipulated?
#2
What is a factorial design?
A research design that involves manipulating multiple independent variables.
A design that involves only one independent variable.
A design that focuses on analyzing correlations between variables.
A design that uses factorial notation for data analysis.
#3
In a 2x2 factorial design, how many conditions are there?
#4
Which of the following is true about factorial experimental designs?
They involve manipulation of multiple independent variables.
They involve only one independent variable.
They are suitable for correlational studies.
They do not involve manipulation of variables.
#5
What is the advantage of using factorial designs in psychology research?
They are easier to conduct than other designs.
They allow researchers to examine interactions between variables.
They only require one group of participants.
They eliminate the need for statistical analysis.
#6
Which of the following is a potential limitation of factorial designs?
They cannot identify cause-effect relationships.
They are only suitable for between-subjects designs.
They require a large number of participants.
They are not applicable to experimental studies.
#7
What is the factorial notation for a design with three independent variables, each with 2 levels?
#8
Which of the following is a true statement about factorial designs?
They are limited to only two independent variables.
They allow researchers to examine the effects of multiple independent variables and their interactions.
They can only be used in observational studies.
They are primarily used in qualitative research.
#9
In factorial designs, what does the term 'cell' refer to?
The intersection of different levels of independent variables.
The overall effect of the independent variables.
The dependent variable.
The total number of participants.
#10
What does a 2x3 factorial design represent?
Two independent variables, one with 2 levels and the other with 3 levels.
Two dependent variables, one with 2 levels and the other with 3 levels.
Three independent variables, one with 2 levels and the other with 3 levels.
Three dependent variables, one with 2 levels and the other with 3 levels.
#11
In factorial designs, what does a main effect refer to?
The overall average of the dependent variable.
The interaction between two independent variables.
The effect of one independent variable averaged across levels of another independent variable.
The total number of participants in the study.
#12
What is meant by a 2x2x2 factorial design?
It involves two independent variables, each with 2 levels.
It involves three independent variables, each with 2 levels.
It involves two independent variables, each with 2 levels, and one dependent variable.
It involves two dependent variables, each with 2 levels.
#13
What is meant by a 2x2 within-subjects factorial design?
It involves two independent variables, each with 2 levels.
It involves two dependent variables, each with 2 levels.
It involves two within-subjects factors, each with 2 levels.
It involves two between-subjects factors, each with 2 levels.
#14
Which of the following is a feature of a mixed factorial design?
It involves manipulating only one independent variable.
It involves both within-subjects and between-subjects factors.
It excludes factorial interactions.
It is suitable for single-factor experiments only.
#15
In factorial designs, what is the purpose of counterbalancing?
To ensure that each participant experiences the same conditions in the same order.
To manipulate the independent variables systematically.
To control for demand characteristics.
To eliminate random assignment biases.