Case 3

Question 1

Gender
Tel_Cont

are _____ variables

Answer 1

nominal

Question 2

Satisfaction
Tangi
Assur
Reliab
Loyal

are _____ variables

Answer 2

ordinal

Question 3

Gender
Tel_Cont

are ____

Answer 3

Frequencies

Question 4

All variables with a 7-likert scale

are _____

Answer 4

Descriptives

Question 5

Which type of data do we deal with in case 3?

Answer 5

cross-section data

Question 6

Whats the SSE?

Answer 6

The difference between the observation (y) and the fitted line (𝑦̂)

o As small as possible, with any other values the SSE becomes larger
–> cannot be explained

Question 7

Whats the SSR?

Answer 7

Difference between the line (y) and the mean
–> can be explained

Question 8

b0 and b1 are selected in order to ____

Answer 8

minimize the SSR

Question 9

Since the sum of the estimated coefficients is close to 1, we suspect that when all 3 constructs simultaneously increase by 1 point…

Answer 9

Satisfaction increases by 1 point as well

Question 10

To check if the data are consistent with this feature we need to…

Answer 10

Add Tangibles and Assurance to the 1st model and check whether these variables are jointly insignificant

Question 11

The most plausible reason for the relatively high p-values for Assur1, Assur2 and (especially) Assur5 in the model is…

Answer 11

Collinearity

Question 12

The fact that the number of dots in the scatterplot is much smaller than the number of respondents is due to the fact that…

Answer 12

the dots with the same values are on top on each other

Question 13

Independence ⟶ The conditional probabilities of…

Answer 13

one variable being the same across the categories of the other variable

Question 14

P-value of 0.005 gives us: “if the null were true…

Answer 14

there would be a 0.5% chance of drawing a sample that yields a test statistic as extreme as this one”

Question 15

The number of respondents who have answered all questions is equal to…

Answer 15

the lowest N in the Correlations table

Question 16

If all respondents were “fully rational” when it comes to the reverse scale equivalent, then the correlation between loyal2 and loyal3 would be exactly equal to…

Answer 16

-1

Question 17

If all respondents were “fully rational” when it comes to the reverse scale equivalent, then it would be legitimate to…

Answer 17

base our loyalty-construct on loyal1 and loyal2 only, if you know Loyal2, then you know the answer to Loyal3

Question 18

What is Cronbachs Alpha

Answer 18

Measurement of the degree to which the included items behave similarly

o The more positively correlated they are the higher the alpha (appeared on every exam)

Question 19

There is insufficient info to make a motivated choice about the change in Cronbach’s Alpha if we drop…

Answer 19

Loyal1 from our Loyalty construct, and only include Loyal2 and Loyal3R

Question 20

If we would include Loyal3 rather than Loyal3R in the loyalty construct, the Cronbach’s Alpha would…

Answer 20

probably become negative

Question 21

If all the respondents are “fully rational” in the sense that they correctly choose the opposite answer in the reversed scale question (Loyal2 and Loyal3), then the R2 of this regression would be…

Answer 21

exactly equal to 1

Question 22

Since assur3, assur4, and assur5 are missing quite a lot of values, they should not be included in the construct. However, if we do want to include them, then the alternative assurance construct should be…

Answer 22

calculated for somewhat fewer respondents than the smallest number of responses from any of the assur