independent-measures, two-factor study with two levels of Factor A and three levels of Factor B, using a sample of N=10 participants in each treatment condition.  a. What are the df values for the F-ratio evaluating the main effect of factor A? B. What are the df

Taxi    Brand A    Brand B1    38,300    39,8002    37,700    38,1003    42,200    43,0004    42,300    41,6005    48,200    47,0006    36,100    40,4007    35,300    36,4008    44,600    45,900

Psychologists have identified 20 clients, 10 women and 10 men, and divided them into groups of five to determine the effect of matching the sex of the client and the sex of the therapist on the number of activities of daily living (ad1) performed by depressed clients. (a) Identify one of the independent variables. (b) Identify the other independent variable. (c) identify the dependent variable. (d) Using SPSS test all main and interaction effects at the .05 level of significance. Create a table including the cell means and marginal means and label each variable and level. State your null decision and conclusion (step 5 hypothesis testing) for all main and interaction effects. Label each effect clearly. Report in APA format the F statistics for all main and interaction effects. Be sure to report the best p-value possible.

Can eating a yogurt a day cause people to lose weight? In a study investigating this: (1) What is the explanatory variable? (2) What is the response variable?

They then decided to determine whether the effect of the phone depended on how dependent people were on their phones. They had participants complete a scale to measure phone dependence (e.g., I would have trouble getting through a normal day without my phone) and classified them as high or low in dependence. They then analysed working memory task performance in a 2 (location: outside, desk) x 2(dependence: high, low) ANOVA. In this design, "dependence" is a(n) O a. Independent variable O b. Extraneous variable O c. Dependent variable O d. Subject variable

A researcher conducts a two-way ANOVA to determine how eating breakfast affects children's grades in school. Factor A has three levels: no breakfast, sugary breakfast, high protein breakfast. Factor B has two levels: males and females. Factor B has no main effect and there is no interaction effect. It is safe to conclude that _________. a. Factor A does not influence the participant's grades b. Factor B does not influence the participant's grades c. Factor A has an influence on the participant's grades d. Factor B has an influence on the participant's grades Clear my choice

If the results of a two-factor ANOVA show no main effect for factor A but show a significant interaction, then the results indicate that factor A has no effect on the subjects' scores. True or False

What source of variation is found in an ANOVA summary table for a within subjects design that is not in an ANOVA summary table for a between subjects design. What happens to this source of variation in a between-subjects design?

Find the value of the test statistic and find the 5% critical value