B. Individual differences, order effects. In between subjects design, threats may arise due to individual differences among the participants in different treatment conditions. However, in within subjecs design, the order of the conditions may affect the results.
Between-subjects designs are subject to threats from whereas within-subjects designs are subject to threats from a....
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.
Why is random assignment used in between-subjects experimental designs? a. To increase the variance within the groups. b. To eliminate systematic differences between the groups. c. To manipulate the independent variable. d. To avoid volunteerism.
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
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....
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
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.
The main advantage of factorial designs is that they can be used to a) study individual differences b) reduce measurement error c) study interactions between independent variables d) study the main effects of independent variables thank you :)))
In a within-subjects research study, factors that change over time, such as history and maturation, can be threats to a. internal validity. b. generalizability C. reliability d. external validity.
While within-subjects designs often require fewer subjects, that in itself can lead to issues in terms of the data. For instance, subjects are being used in multiple trials, so they would typically be more tired of the study, especially if it's the same general experiment performed repeatedly over consecutive trials. This can lead to multiple confounds, such as the subject not participating as they normally would, or even dropping out of the study and therefore nullifying any of the data...
Which of the following is an advantage of within-groups designs? A. These designs avoid order effects. B. These designs avoid demand characteristics. C. These designs are always possible. D. These designs rely on fewer participants. Preregistration occurs at which point in the scientific process? A. Before data collection B. Before developing hypotheses C. After publication D. After replication According to the textbook, what is the problem with WEIRD samples? A. They are not very representative of the world’s population. B....