D. Individual differences can both increase confounded variables and increase the variability of the experiment. These may cause threats to validity.
In a within-subjects design, individual differences are a problem because... a, individual differences are not a...
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.
Between-subjects designs are subject to threats from whereas within-subjects designs are subject to threats from a. environmental variables; individual differences. b. individual differences; order effects c. order effects; individual differences. d. history effects; order effects.
In a between-subjects design, holding a potential confounding variable constant helps to reduce the variance within treatment groups, however it also reduces the study's a. accuracy b. internal validity c. external validity. d. variance.
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.
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....
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
A study design method to control confounding that involves the selection of study subjects that only fall within one type or stratum is called: a) Multivariate modeling b) Stratification c) Matching d) Restriction
Order effects can become a confounding variable because... a, they cannot be separated from the instrumentation that may be confounding the study. b. they create individual differences between treatment conditions. c. they affect all treatment conditions equally, d. treatment conditions at the end of the series are affected differently than conditions at the beginning.
Time-related factors and other order effects can threaten internal validity for some within-subjects experiments. Describe the kind of study for which these factors can be a problem and explain how they can be a confounding variable in some within-subjects designs.
Question 433 pts A design with 2 or more independent variables is a __________ design Between-subjects Factorial Within-subjects