Question 433 pts
A design with 2 or more independent variables is a __________ design
Between-subjects
Factorial
Within-subjects
Design with 2 or more independent variables is a Factorial design.
Option B is correct.
Question 433 pts A design with 2 or more independent variables is a __________ design Between-subjects...
Is there more than one independent variable in a mixed subjects factorial research design?
6. Typically, when comparing a within-subjects design to a between-groups design which of the following describe their differences in error variance? a. Within-subjects designs results in less error variance than between-groups. b. A within-subjects design results in more error variance than a between-groups design. C. A within-subjects design results in the same amount of error variance as a between-groups design d. There is no error variance in a within-subjects design, whereas a between- groups design does present some error variance....
Lesson: -Factorial designs have more than one independent variable or factors. -A two way factorial design has two independent variables, a three-way factorial design has three independent variables and so forth. -A 2x2 design has two factors and two levels of each. -A 2x3 design also has two factors but one has two levels and one has three. -A 3x3 design has two factors and each factor has 3 levels. Each example has 2 independent variables or factors. Comparison of...
An advantage of a within-subjects design as compared to a between-subjects design is... a. All of these options. b. it eliminates the threat that participant characteristics may become a confounding variable. c. it reduces the variability by subtracting out the individual differences. d. it usually requires fewer participants.
Is it possible to have a factorial within-subjects design? If so, give an example. If not, explain. Researchers must be careful to minimize progressive error in any within-subjects design. Explain what is "progressive" about progressive error and why it is considered an "error."
A within-subjects design is to the whereas a between-subjects design is to the a. Repeated-measures ANOVA; One-way ANOVA. b. One-way ANOVA; Chi-square test for independence, c. One-way ANOVA; Repeated-measures ANOVA. d. Dependent samples t-test; Repeated-measures ANOVA
In a within-subjects design, individual differences are a problem because... a, individual differences are not a problem in a within-subjects design. b. they can become confounding variables. c. they can increase the variability. d. they can become confounding variables and they can increase the variability
State whether each of the following is an example of a between-subjects, mixed, or within-subjects two-way ANOVA design. (a) A psychologist administers a small, medium, or large dose of a drug to a sample of mice (Factor A: drug dose) and measures reward-seeking behavior across three experimental trials (Factor B: trials). between-subjects design or mixed design or within-subjects design (b) An industrial organizational psychologist measures the GPA among men and women graduate students (Factor A: gender) with low, medium, or...
1. What does the paired-samples t-test test for? 2. The paired-samples t-test utilizes a within-subjects design. What is the main difference between a within-subjects design and a between subjects design? 3. What is the difference between a repeated measures and a matched design?
Which of the following is not a factor that differentiates within-subjects and between-subjects designs? a. Within-subjects designs tend to have fewer participants. b. Between-subjects designs are more effective in demonstrating cause-and-effect. c. Within-subjects designs are more likely to be confounded by time-related factors and order effects. d. Between-subjects designs are more likely to be confounded by individual differences.