Damian, a research consultant, is preparing an oral presentation for members of a client organization. Which of the following should NOT be emphasized?

Select one:

a.

Conclusions

b.

Problem investigated

c.

Main results of the study

d.

Details of data analysis

e.

Recommendations and ways in which they can be implemented

Clear my choice

Question 27

Question text

A researcher has computed correlation coefficients between affective organizational commitment and three dependent variables -- absenteeism (r=-.15, p=.01), supervisory ratings of job performance (r=.16, p=.01), and organizational citizenship behaviours (r=.32, p<.001). Which of the following is the most reasonable interpretation of these results?

Select one:

a.

Respondents with high affective commitment are more likely to be absent, less likely to get high job performance ratings, and less likely to engage in organizational citizenship behaviours.

b.

Respondents with high affective commitment are less likely to be absent, more likely to get high job performance ratings, and more likely to engage in organizational citizenship behaviours.

c.

There are no significant correlations between affective commitment and those three variables in this sample.

d.

There are strong correlations between affective commitment and those three variables.

Clear my choice

Question 28

Question text

A researcher has measured job involvement and employee engagement to predict turnover intentions. All variables were measured on a 7-point Likert-type scale. Which procedure is most appropriate?

Select one:

a.

Wilcoxon's test

b.

MANOVA

c.

Dependent samples t-test

d.

Independent samples t-test

e.

Multiple regression

Question 29

Question text

Ampliative reasoning is useful for researchers because researchers deal with probabilities as well as premises that support but do not guarantee conclusions.

Select one:

True

False

Question 30

Question text

What is the level of significance ()?

Select one:

a.

The probability of making an error by rejecting the null hypothesis when it is actually true

b.

Always equal to 0.01

c.

The probability of making an error by failing to reject the null hypothesis when it is actually false

d.

An effect size, with absolute values ranging from 0 to 1