Political Science 3324 Research Design
Name
Hypothesis
Elissa Piraino-Grening
The less some think that the policies of the federal government have made the Canadian economy better, the more
they agree that there is a conflict between protecting the environment and creating jobs.
Main Variables
Dependent
Variable
(Codebook
Code)**
cps19_pos_jobs
Independent
Variable
(Codebook
Code)**
cps19_econ_fed
Coding & Level of
Measurement
Strongly disagree (1)
Somewhat disagree
(2) Neither agree nor
disagree (3)
Somewhat agree (4)
Strongly agree (5)
Don't know/ Prefer
not to answer (6)
Ordinal
Recoding & Level of
Measurement (Max of 3
categories!)
Disagree (1/2)
Neither agree nor
disagree (3)
Agree (9)
Measure of Central Tendency*
(select one)
Measure of Dispersion* (select
one)
(N) Mode
(O) Median
(I/R) Mean
(N) Variation
(O) Range
(I/R) Std Deviation
Ordinal
Coding & Level of
Measurement
Recoding & Level of
Measurement (Max of 3
categories!)
Measure of Central Tendency
(select one)
Measure of Dispersion (select
one)
Better (1)
Better (1)
Mode
Variation
Worse (2)
Not made much
difference (3)
Don't know/ Prefer
not to answer (4)
Ordinal
Not made much
difference (3)
Worse (2)
Ordinal
Median
Mean
Range
Std Deviation
Control Variables
Control Variable
1**
cps19_lr_scale_bef
Coding & Level of
Measurement
0-10
Don’t know/Prefer
not to answer
Ratio
Recoding & Level of
Measurement (Max of 3
categories!)
0-3 (Low interest)
4-6 (Medium interest)
7-10 (High interest)
Ordinal
Measure of
Central
Tendency
(select one)
Mode
Median
Mean
Measure of
Dispersion
(select one)
Variation
Range
Std
Deviation
Is this control
variable
potential
sources of
spuriousness?
Yes / No
Why / why not?
I believe that a
persons
left/right
leaning
tendencies
could have an
impact on their
results as the
two sides of the
spectrum are
known for
being more/less
supportive of
the
environment
and the policies
that federal
governments
Control Variable
2** (This can be a sociodemographic variable)
ps19_province
Coding & Level of
Measurement
Alberta (14)
British Columbia (15)
Manitoba (16) New
Brunswick (17)
Newfoundland and
Labrador (18)
Northwest
Territories (19)
Nova Scotia (20)
Nunavut (21)
Ontario (22)
Recoding & Level of
Measurement (Max of 3
categories!)
-
-
BC/AB/ SK
/MB/NT/YK/NWT/
NT (North and
West Canada)
ON/QC (Centre)
NF/NS/NB/PE (East
Canada)
Nominal
Measure of
Central
Tendency
(select one)
Mode
Median
Mean
Measure of
Dispersion
(select one)
Variation
Range
Std
Deviation
Is this control
variable
potential
sources of
spuriousness?
Yes / No
put in place to
protect it, and
when
conducting a
hypothesis such
as this, I believe
it would be
important to
control for this
variable as a
potential source
of spuriousness
that could
cause both of
the variables.
Why / why not?
I believe this
variable could
be a potential
source of
spuriousness
given the
concentration
of those
individuals
living in the
west, who are
Prince Edward Island
(23) o Quebec (24)
Saskatchewan (25)
Yukon (26)
Nominal
more supported
by industries
like oil and gas,
mining and
manufacturing.
Recently,
because of
different
federal policies,
these industries
have recently
been criticized
for their impact
on the
environment
which has
resulted in
several delays
or terminations
of many job
supporting
projects such as
oil pipelines.
Additionally,
there has been
a recent uproar
from citizens
living in the
west who have
criticized how
these delays
have impacted
the economy in
that region,
which therefore
might skew our
results.
*Select the appropriate measures (central tendency: mode, median or mean and measure of dispersion: variation, range or standard
deviation) for the variable after you have recoded it – e.g., if the variable starts out as ratio, but you have collapsed it to ordinal, list the
appropriate measures for ordinal levels of measurement.
**You may only use one socio-demographic variable for ONE control variable. You may NOT use a socio-demographic variable for your
independent or dependent variable. Example of socio-demographic variables are: gender, age, income, education, occupation, religious
affiliation, religiosity, marital status, where you live, etc. In other words, these are things that describe your social status or are
demographic characteristics. If you are uncertain about whether a variable is a socio-demographic, contact the professor.
Remember: ALL variables come from the survey codebook – see the codebook for the names and coding