The management of a large insurance company were interested in identifying factors which
might have an impact on workplace efficiency. In a hypothetical study, the following information
was collected from a random sample of the company’s employees:
Efficiency Level of efficiency at work.
Morale Workplace morale
Stress Work related stress
Transport Mode of transport to work
ExerPartic Participation in workplace exercise program
Experience Number of years’ experience in current position
Health General health
The data is recorded in Wbk2_Q1.sav and more information about each variable is given in the
labels in this data file. Assume that if a variable has no value labels, it is measured on a metric
It was suggested that people with more work experience, those who walk or cycle to work and
those who feel less stressed tend to be more efficient. There is also evidence to suggest that
people with high morale, and those who are in better health tend to be more efficient.
Recently there has been speculation on the value of work place exercise programs.
Researchers have suggested that providing an environment conducive to exercising at work
would improve work efficiency.
Various links between these predictors have been proposed:
ï‚· Employees who take part in the work place exercise program, and those who
walk or cycle to work are expected to have higher morale, to be less stressed and
to be in better health.
ï‚· Employees who are more experienced tend to be less stressed and to have higher
ï‚· Employees who are in better health are expected to be less stressed2
STA20007 Multivariate statistics
a. Look at the variables in the Wbk2_Q1.sav data file and decide how each variable has been
measured (categorical or metric). Note that the level of measurement for all variables has
been set as ‘nominal’, so you will need to look at the information given and redefine the
‘measure’ to ‘scale’ for some variables. DO NOT recode any variables. Fill in the level of
measurement in the table provided in the Workbook 2 Answer document.
b. Suggest a specific two stage hierarchical hypothesis that is consistent with the theory
described above, and which can be tested using a hierarchical regression analysis. The
dependent variable here is workplace efficiency, and you are expected to include four
appropriate predictors. NOTE: It does not matter whether the data supports your
hypothesis or not.
c. In the hypothesis from part a, which variables are acting as potential mediating variables?
d. In order to test the hypothesis suggested in part b, which predictors should be entered at
stage 1 of the regression? Which predictors should be entered at stage 2?
It has been suggested that the factors which predict job performance will be different across
different types of professions. In one large accounting organisation researchers collected the
following information from a random sample of employees:
Performance Job performance. Measured on a metric scale taking values from 0 to
100, with higher values representing a better performance.
Client Ability to form good client relationships. Measured on a metric scale taking
values from 0 to 20, with higher scores representing a greater ability to form
good client relationships.
Colleague Ability to work co-operatively with colleagues. Measured on a metric scale
taking values from 0 to 20, with higher scores representing a greater ability
to work co-operatively with colleagues.
Dominance Participants were classified as either dominant or non-dominant, depending
on the extent to which they tended to dominate other people.
Sociab Sociability measures the extent to which participants enjoyed social
interactions. Measured on a metric scale taking values from 0 to 20, with
higher scores representing greater sociability.
Hypothetical data for these variables can be found in the Wbk2_Q2.sav data file.
a. It was hypothesised that dominance and sociability affect job performance indirectly through
their effects on ability to form good client relationships and ability to work co-operatively with
colleagues. Using SPSS, run a regression analysis to test this hypothesis. Save your output
file and upload it.
b. Write a concise report on the regression analysis. also include all relevant sections of the SPSS output as an appendix at the end of
|Due By (Pacific Time)||08/11/2014 12:00 am|
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