Exam 14: Factorial Anova

How many dependent variables does a two-way ANOVA have?

Which of the following is not a problem post hoc comparisons need to correct for?

Breaking down the total variance is referred to as?

Research was conducted in which employees were given client facts to learn in either quiet offices or noisy call-centre type offices. On later recall either congruous or non-congruous cues for recall were given and recall was either in the same or different context of learning. What design is this experiment?

An experiment was conducted to look at the positive work-motivation effects of imagery on different people. A group of male staff was compared against a group of female staff. Both groups received presentations of positive images (e.g. cats and bunnies), neutral images (e.g. duvets and light bulbs), and negative images (e.g. corpses and vivisection photographs). Positive work motivation was measured by individual work productivity (high values indicate positive work motivation) both before and after each batch of images. The order in which participants saw the batches of positive, neutral and negative images was randomized to avoid order effects. It was hypothesized that positive images would increase positive work motivation, negative images would reduce motivation and neutral images would have no effect. Differences between the subject groups (male and female staff) were not expected. What technique should be used to analyse these data?

Which of the following questions should not be answered by employing a two-way ANOVA?

What value should appear where YYY appears?

Consider this graph modelling the influence of an intervention on company financial performance. What is shown in the graph?

Which procedure would not have been suitable for interpreting whether an interaction effect between context and cue-type was statistically significant?

Consider the table below, which displays data from the experiment of Q8. What value should appear where XXX appears? Dependent Variable: number correct

In the same context as Q4, consider the graph below. What does it suggest might be inferred?

What would the substantive interpretation of this analysis (Q8) be?

In a factorial design with two factors - customer satisfaction and age - it appears that values for the former depend on the age of the customer. What is this type of effect called?

Consider the table in Q9. What can we conclude about the number of customer facts learned by staff relative to the context and cue-type provided?

If a study has employed a two-way mixed ANOVA, what does this mean?