Deck 16: Mixed Design Anova

Question 1

What is the interpretation of the results?

A) There is no effect of distraction because men and women simply perform differently on the tasks.
B) There is an effect of sex on the age at which participants get distracted by alternative noises.
C) There is an effect of distraction on performance, but this is mediated by sex.
D) Men are more likely to be distracted by noises than women.

Answer 1

There is an effect of distraction on performance, but this is mediated by sex.

Question 2

Mixed design ANOVAs?

A) Contain a mixture of between-group and repeated-measures variables.
B) Require at least two independent variables.
C) Can combine repeated-measures and independent designs.
D) All of the above.

Answer 2

All of the above.

Question 3

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

A) An investigation of the effect that an employee's gender has on the age of attaining a senior management position
B) An investigation of the effect that the gender of an accountant has on month's-end reporting errors before and after holidays
C) An investigation of the effect that the gender of an accountant has on month's-end reporting errors with and without training
D) An investigation of the effect that gender of employee's has on choice of training programme adopted.

Answer 3

An investigation of the effect that the gender of an accountant has on month's-end reporting errors before and after holidays

Question 4

What do the results indicate?

A) There are no significant effects.
B) There are two main effects and one two-way interaction.
C) There is one main effect and one interaction.
D) There are two main effects and a three-way interaction.

Question 5

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

A) is one in which both men and women take part.
B) has at least one between-subjects variable and one within-subjects variable.
C) utilizes both categorical and continuous.
D) needs a non-parametric tests.

Question 6

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?

A) 2
B) 3
C) 4
D) 5

Question 7

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) Approach times were significantly different for the different companies, but the pattern of results was affected by gender.
B) Approach times were significantly different for the different companies, but the pattern of results was unaffected by gender.
C) Approach times were not significantly different for the different companies, but the pattern of results was affected by gender.
D) Approach times were not significantly different for the different companies, but the pattern of results was unaffected by gender.

Question 8

Is there any sphericity in the above model?

A) No
B) We can assume not
C) Yes
D) Not enough information

Question 9

What would the data heading look like in SPSS?

A) Sex Age Distraction
B) Male Female 18-25 26-30 30+ Distraction
C) Sex Age Task1 Task2
D) Male Female 18-25 26-30 30+ Task1 Task2

Question 10

Why might there be sphericity?

A) Aptitude dimensions are likely to measure correlated constructs.
B) The factors are not independent.
C) Aptitude dimensions are likely to measure different constructs.
D) There is none, so it is difficult to judge.

Question 11

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

A) There are no effects.
B) There is an interaction effect and no main effects.
C) There are two main effects and no interaction.
D) There are two main effects and an interaction.

Question 12

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.)

A) Approach times for the negatively described company were not significantly different to those for the positively described company.
B) Approach times for the positively described company were significantly shorter than for the control (no information) company.
C) The profile of results was different for male and female consultants.
D) Approach times for the negatively described company were significantly longer than for the control (no information) company.

Question 13

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

A) 54
B) 58
C) 60
D) 64

Question 14

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?

A) Aptitude dimension is an independent-measures factor and business function is a repeated-measures factor.
B) Aptitude dimension is a repeated-measures factor and business function is an independent-measures factor.
C) Both factors are independent measures.
D) Both factors are repeated measures.

Question 15

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

A) A two-way mixed ANOVA
B) A three-way mixed ANOVA
C) A two-way repeated-measured ANOVA
D) A two-way independent ANOVA

Question 16

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

A) Analyze → GLM → Multivariate
B) Analyze → Mixed Model → Linear
C) Analyze → GLM → Repeated Measures → define and add a between-subjects factor
D) Analyze → GLM → Univariate → define fixed and random factorS