Factorial Designs of Research MCQs
Factorial Designs of Research MCQs
Our experts have gathered these Factorial Designs of Research MCQs through research, and we hope that you will be able to see how much knowledge base you have for the subject of Factorial Designs of Research by answering these 30 multiple-choice questions.
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1: A comparison of one level of a factor across a level of another factor is called
A. Cell
B. Row
C. Column
D. Theory
2: The mean of each cell comparing one level of a factor across a level of another factor is called
A. Cell means
B. Cell number
C. Cell value
D. All of these
3: A design with two or more predictors that are not manipulated in the study is correlational factorial design
A. True
B. False
4: A factorial design in which all the levels of the factors are related via matching or repeated measures is dependent group factorial design
A. True
B. False
5: ____ factorial design is a design with two or more IVs that are manipulated and in which participants are randomly assigned to IV levels
A. Theory
B. Experimental
C. Hybrid
D. Group
6: A predictor variable in a correlational design or an IV in an experiment or quasi-experiment.
A. True
B. False
7: A design used to examine how two or more variables (factors) predict or explain an outcome is ___ design
A. Factorial
B. Grand
C. Group
D. Hybrid
8: A shorthand for expressing how many factors, levels, and cells are present in a factorial design is factorial notation
A. True
B. False
9: The mean of the ____ or outcome of the entire sample is grand mean
A. CV
B. DV
C. MV
D. MD
10: The mean of each level or group that ignores the other factor is called group ___
A. Mean
B. Median
C. Mode
D. Constant
11: A design with at least one experimental IV and at least one quasi-IV or predictor is hybrid factorial design
A. True
B. False
12: Independent group factorial design is a factorial design in which all the factors have independent levels/groups
A. True
B. False
13: How one variable predicts or affects the outcome based on the levels of another variable is called
A. Main effect
B. Interaction effect
C. Multiple effect
D. Single effect
14: How one variable predicts or affects the out-come is called
A. Main effect
B. Interaction effect
C. Multiple effect
D. Single effect
15: A factorial design with at least one factor with independent levels and at least one factor with dependent levels is called
A. Single design
B. Multiple design
C. Main design
D. All of these
16: ____ an interaction effect, the factor that changes the strength or direction of the relationship between a predictor and the outcome
A. Operator
B. Moderator
C. Non Operator
D. Modulator
17: Quasi experimental factorial design is a design with two or more quasi-IVs, meaning that the IVs are manipulated but participants are not randomly assigned to IV conditions.
A. True
B. False
18: Two way subjects between ANova is an analysis of variance test appropriate for designs with ___ independent factors and an interval or ratio outcome
A. One
B. Two
C. Three
D. Four
19: An analysis of variance test appropriate for designs with one independent factor, one dependent factor, and an interval or ratio outcome is two way mixed ANOVA
A. True
B. False
20: An analysis of variance test appropriate for designs with two dependent factors and an interval or ratio outcome is two way within subjects ANova
A. True
B. False
21: A researcher hypothesizes that participation in extracurricular activities will be associated with better social skills. What type of hypothesis is this?
A. A main effect hypothesis
B. A null hypothesis
C. A cell mean hypothesis
D. An interaction hypothesis
22: A 2 (participant religion) × 4 (participant ethnicity) design is ______.
A. An independent-groups factorial
B. A correlational factorial design
C. Both an independent-groups factorial and a correlational factorial design
D. None of these
23: A researcher hypothesizes that learning a language, especially German, will improve scores on a math exam. What type of hypothesis is this?
A. A main effect hypothesis
B. A null hypothesis
C. A cell mean hypothesis
D. An interaction hypothesis
24: An experimental factorial design must include ______.
A. Two factors, both of which are experimental independent variables (IVs)
B. Three factors, all of which are experimental IVs
C. Two factors, at least one of which is an experimental IV
D. Two factors, both of which are experimental or quasi IVs
25: A researcher hypothesizes that children will develop a stronger sense of self-esteem when their families have regular dinners together and that this is especially true for children with learning disabilities. The best analysis to test this hypothesis is ______.
A. An independent-samples t test
B. A one-way between-subjects ANOVA
C. A mixed ANOVA
D. A two-way between-subjects ANOVA
26: A researcher conducts a factorial design with the following factors: exercise level (no exercise, moderate exercise, intense exercise), exercise type (aerobics, stationary bike), and exercise time (20 min, 40 min). What type of factorial design is this?
A. 2 × 2
B. 3 × 3 × 3
C. 3 × 2 × 2
D. 3 × 4
27: A 2 × 3 × 2 factorial has how many cells?
A. 6
B. 7
C. 12
D. 24
28: To graph a hypothesized interaction for a 2 × 2 factorial, the graph must have at least two lines that ______.
A. Intersect
B. Are not parallel
C. Are parallel
D. Form an “X”
29: A researcher conducts an experiment examining the effect of caffeine on memory. If she wants to examine participant age as a potential moderating factor, she would have a(n) ______ factorial design.
A. Hybrid
B. Quasi-experimental
C. Experimental
D. Correlational
30: A researcher conducts a repeated-measures experiment examining the effect of teacher feedback on exam scores. If she wants to also test whether gender of the teacher moderated this effect, what type of analysis should she use?
A. An independent-samples t test
B. A one-way between-subjects ANOVA
C. A mixed ANOVA
D. A two-way between-subjects ANOVA
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Factorial Designs of Research MCQs
