Deck 17: Multiple Analysis of Variance Manova

Question 1

If a MANOVA is significant,what would the researcher expect to do?

A)Ignore the results.
B)Nothing,that is all that can be done with the data.
C)Pass the data to someone else to check.
D)Perform ANOVAs on each dependent variable.

Answer 1

D

Question 2

It is assumed that the dependent variable (singular)is normally distributed in each group in which type of analysis?

A)ANOVA
B)MANOVA
C)Both
D)Neither

Answer 2

A

Question 3

If considering the four outcome measures detailed in Q21 in relation to first-year undergraduates studying for a BA in Education at the University of Birmingham,and their levels of attainment on an exam,you discover that you have no definite way of concluding total numbers of students on the course,and there is no theoretical link between any of the four categories and attainment (either good or bad).Which of the following statements justifies not using MANOVA in this study?

A)MANOVA can only handle low participant numbers.
B)MANOVA treats variables independently of one another.
C)Dependent variables should not be lumped together in a MANOVA unless there is a good theoretical or empirical basis for doing so.
D)It is only possible to run separate analyses from the above information.

Answer 3

C

Question 4

The fundamental difference between MANOVAs and ANOVAs is that?

A)MANOVAs include multiple dependent variables.
B)MANOVAs have one more independent variable than ANOVAs.
C)MANOVAs cannot be compared to ANOVAs.
D)They are the same.

Question 5

When there is a high correlation between dependent variables,what can occur in MANOVA?

A)The production of statistically significant results
B)The loss of degrees of freedom
C)The need to further analyse data sets
D)The reduction of standard error rates

Question 6

Box's test looks at which of the following?

A)Multiple linear regressions
B)Different multivariate data sets
C)Equal z-scores
D)Equal covariance matrices

Question 7

The Hotelling-Lawley trace is?

A)The sum of eigenvalues for each variate
B)The sum of the square of the mean of each variable
C)Used to work out how much error is in the study
D)The proportion of explained variants

Question 8

The assumption of multivariate normality can be tested with SPSS.

Question 9

The variates mentioned above are called?

A)Linear function variates
B)Discriminant function variates
C)Latent factors
D)Variables

Question 10

Are MANOVAs multivariate or univariate?

A)Multivariate
B)Univariate

Question 11

In MANOVA,observations should be?

A)Statistically dependent
B)Neutral
C)Statistically independent
D)Undetectable

Question 12

What is a benefit of using MANOVAs rather than conducting multiple ANOVAs?

A)There is no significant benefit,as they are largely the same.
B)Control over Type I error rates is retained.
C)Statistically more significant results are produced.
D)More robust regressions are generated.

Question 13

When conducting a study,you have multiple outcome measures.These may be linked to a student's level of visual impairment,position on the autistic spectrum,how deaf a student is,and their understanding of Braille texts.When asked to compare groups from all of these outcome variables,it is best to use which approach?

A)ANOVA
B)MANOVA

Question 14

In MANOVA,the dependent variables should moderately correlate.

Question 15

Discriminant function analysis is used to predict what?

A)Error ratios in independent variables
B)Standard deviation between groups of scores
C)Extraction of data
D)A categorical dependent variable using one or more predictor variables

Question 16

The product of the unexplained variance on each of the variates is calculated using:

A)Roy's largest root
B)Wilks's lambda
C)Hotelling-Lawley trace
D)Pillai-Bartlett trace

Question 17

What is simple definition of a cross-product?

A)The representation of total value for the combined error between two variables
B)The offspring of combining two data sets
C)The result of an ANOVA added to a MANOVA
D)None of the above

Question 18

Assumptions made in MANOVA are completely different than those assumptions made in ANOVA,as the multivariate case distorts the data.

Question 19

Positive definite matrices appear in MANOVA where _____ appear in ANOVA?

A)sums of squares
B)total error
C)high standard deviation
D)low predictability ratios

Question 20

Box's test is susceptible to which of the following?

A)Large and significant errors
B)Deviations from multivariate normality
C)Malleability from other test results
D)All of the above

Question 21

In MANOVA,how should data be sampled from the population of interest?

A)Only data from known sources/participants should be used.
B)Data should be sampled at regular and repeated intervals.
C)At random.
D)Data from the whole population should be included when running MANOVA.

Question 22

Does MANOVA use the same sum of squares as ANOVA,or different?

A)Same
B)Different