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Factorial designs in Educational Statistics MCQ

Simple effects analysis looks at:

Answer

Correct Answer: The effect of one independent variable at individual levels of the other independent variable

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An experiment was done to look at the positive arousing effects of imagery on different people. A sample of statistics lecturers was compared against a group of students. 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 arousal was measured physiologically (high values indicate positive arousal) 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 arousal, negative images would reduce positive arousal and that neutral images would have no effect. Differences between the subject groups (lecturers and students) were not expected. What technique should be used to analyse these data?

Answer

Correct Answer: Three-way mixed ANOVA

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Imagine we wanted to investigate whether a person’s profession can predict scores on a self-report psychopathy scale. We collected data from people in eight professions and a group of unemployed people. The eight professions were: bank traders, insurance brokers, health care professionals, business executives, volunteer workers, full-time mums, teachers, construction workers. The outcome was psychopathy score. How could we analyse these data?

Answer

Correct Answer: ANOVA or regression

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Mediation has occurred when:

Answer

Correct Answer: The strength of the relationship between a predictor variable and an outcome variable is reduced by including another variable in the model.

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Which of the following is an example of perfect mediation?

Answer

Correct Answer: The relationship between the predictor and the outcome is completely wiped out when the mediator is included in the model.

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