Exam 16: Mixed Design Anova

A researcher wanted to know if sex and age affected how susceptible customers were to distraction when watching charity-based advertisements. She measured men and women aged 18-25, 26-30 and over 30 in two task conditions, one where they viewed an advertisement with no distraction and one where they experienced constant interruption from alternative sounds in the same room. How many factors were there in this study?

Why might there be sphericity?

What do the results indicate?

Which of the following is an example of a mixed design?

Mixed design ANOVAs?

What is the interpretation of the results?

Based on the information in Q1, what analysis has been done?

The results from the study in Q7 are displayed in the table below. What do these results indicate?

Is there any sphericity in the above model?

A researcher reported the effects of giving people working in recruitment consultancy either positive, negative or no information about potential clients. This variable was called 'infotype'. The gender of the recruitment consultant was recorded at the same time. The outcome variable was the time taken for a consultant to approach the company by making a sales pitch call to its HR manager whom they believed would respond either positively, negatively or indifferently to their sales pitch (positive values = longer than average approach times, negative values = shorter than average approach times). Based on the output below, what could you conclude?

A study investigates whether there are aptitude differences between employees working in the different departments of a company. Every employee in the finance, marketing and human resources departments completes an aptitude test with five dimensions. Which statement below is correct?

What would the data heading look like in SPSS?

At a recent conference you define the mixed factorial design by saying it?

For the same data as in Q2, contrasts were performed. Based on the SPSS output given, which of the following statements is true? (Levels of infotype were entered in the following order: negative information, positive information, no information.)

What would be the appropriate SPSS commands for a mixed design like the one tested in Q1-Q3?

The summary table from this marketing experiment is given below. How many people took part in the study? Tests of Within-Subjects Effects Measure: MEASURE_1 Tests of Between-Subjects Effects Measure: MEASURE_1 Transformed Variable: Average