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Methodology
The primary method of
gathering data for this project
was a web-based survey,
conducted between Oct. 10
and Oct. 23, 2017. The survey
sample was drawn from two
distinct populations of tools and
equipment purchasing decision-
makers who are subscribers of
Babcox’s publications.
A combined survey on tools
and equipment was sent to
the participants. Screening
questions were included in the
survey questionnaire to separate
professionals who purchased
tools from those who influenced
equipment purchases.
Over two hundred participants
viewed and answered all survey
questions. Tools purchasers
comprised 133 of those who
completed the survey, while
99 respondents accounted for
professionals who purchased
equipment for use in their shops.
The survey questionnaire
consisted of 20 close-ended
questions in which respondents
were offered a set of answers
and asked to choose. Rating-
format questions consisted of
five-point rating Likert scales.
This rating measured the intensity
of responses to certain q
uestions.
Descriptive statistical method
was used to analyze the data.
Margin o
f error reflects the reliability
of survey data. A 95 percent
confidence level gives a range of
confidence to which a response
accurately represents a given
population from which the
sample was drawn.
The margin o
f error for this survey
is ± 0.3 percent at the 95 percent
confidence level. This means that
we are 95 percent confident that
the response is accurate to within
plus or minus 0.3 percentage
points of what would be found
had the entire population of
Babcox Media publication
subscribers been surveyed.
For example, 55.6 percent of
respondents indicated that
they found competitive tool
pricing online instead of jobbers
or distributors. With a margin
error of ± 0.3 percent at the
95 percent confidence level,
we are 95 percent certain
that the actual percentage
of decision-makers in the
population of Babcox magazine
subscribers who shop online
for competitive tool pricing is
between 55.3 percent and
55.9 percent.
The report is divided into two
segments. The first part of the
report presents data analyses for
tool purchasing respondents, the
second is devoted to equipment
purchasing decision-makers. Data
analyses and tables are shown
for all respondents and are also
cross-tabulated by respondents’
employment roles.
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