1. Jackson, even-numbered Chapter Exercises, pp. 308-310.
2. What is the difference between a randomized ANOVA and a repeated measures ANOVA? What does the term one-way mean with respect to an ANOVA?
According to Jackson (2012), a randomized ANOVA is an analysis of variance conducted on data where the participants are randomly assigned to conditions in a between-subjects design (Jackson, 2012, p. 286). A repeated measures ANOVA is an analysis of variance conducted on data where the participants are correlated either a within-subjects or matched-subjects design. The difference between a randomized ANOVA and a repeated measures ANOVA is the fundamental design of the research study analyzed. The term one-way means that the design uses only one …show more content…
Probabilistic equivalence is obtained through random assignment of participants to groups. In more concrete terms, probabilistic equivalence implies that we know perfectly the odds that we will find a difference between two groups. Notice, it doesn 't imply that the means of the two groups will be equal. It just implies that we know the odds that they will not be equal. In order to utilize experimental results to determine cause and effect or predict behavior, it is important to be able to control the environment such that the manipulation of the independent variable is the only difference between two groups. For many experiments it is either not plausible or possible to use the same subjects in the manipulation groups. Without using the same subjects, a major assumption of an experiment is broken; that the only difference in the environment is the way that the independent variable is manipulated, because different subjects with different characteristics are being
2. What is the difference between a randomized ANOVA and a repeated measures ANOVA? What does the term one-way mean with respect to an ANOVA?
According to Jackson (2012), a randomized ANOVA is an analysis of variance conducted on data where the participants are randomly assigned to conditions in a between-subjects design (Jackson, 2012, p. 286). A repeated measures ANOVA is an analysis of variance conducted on data where the participants are correlated either a within-subjects or matched-subjects design. The difference between a randomized ANOVA and a repeated measures ANOVA is the fundamental design of the research study analyzed. The term one-way means that the design uses only one …show more content…
Probabilistic equivalence is obtained through random assignment of participants to groups. In more concrete terms, probabilistic equivalence implies that we know perfectly the odds that we will find a difference between two groups. Notice, it doesn 't imply that the means of the two groups will be equal. It just implies that we know the odds that they will not be equal. In order to utilize experimental results to determine cause and effect or predict behavior, it is important to be able to control the environment such that the manipulation of the independent variable is the only difference between two groups. For many experiments it is either not plausible or possible to use the same subjects in the manipulation groups. Without using the same subjects, a major assumption of an experiment is broken; that the only difference in the environment is the way that the independent variable is manipulated, because different subjects with different characteristics are being