Rits Brown Bag - Surveys and Polls Techniques

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Surveys
and
Pools
Techniques
Thursday,
05
November
2015
Questionnaire
Process

2
A
questionnaire
is
a
research
technique
that
is
used
to
collect
information
from
a
certain
sample
by
administering
a
survey,

and
then
be
able
to
transform
data
direct
information
communicated
by
respondents.
Quizzes
can
have
several
types
of

objectives.
There
are
several
ways
to
manage
an
investigation
such
as
phone,
email,
online
surveys,
personal
inquiry
at
home
or
Inquiry

by
interception
of
respondents
The
most
frequent
types
of
questionnaires
are
three:
Open-‐Ended
Questions,
where
the
issues
are
indirect,
it
is
less
obvious
that
certain
segment
information
requested
in
this

question,
which
leads
researchers
to
greater
difficulty
in
processing
the
data.
Not
so
good
to
take
conclusions.

Closed-‐Ended
Questions,
where
the
questions
are
direct,
so
the
issues
are
more
obvious
what
will
help
the
processing
of

data
by
the
researcher.
The
best
to
analyze.
Mixed
Questions,
which
in
its
construction
has
direct
questions,
and
indirect
questions,
or
answer
key
questions
that
this

latter
type
of
question
the
decision
to
respond
or
not
depends
on
the
answer
to
the
previous
question.
The
most
complete

analyze and
conclusions.

Introduction
Surveys
and
Polls
Techniques
(Questionnaire
Process)

3
1) The Objective,
2) The Study Area,

3) The Finality.

Before
start
the
survey
is
very
important
to
decide
the
objective
of
them,
after
you
need
define
the
study
area
or
population
that
should
be
reporting
and
at
the
end
the
finality,
it
means,
what
is
the
assumption?
Because
the
same
question
can
be

interpreted
by
different
ways.
Example:
The
favorite
cakes
of
British
people,
can
be
different
goals
(finality)
for
a
international
competition
or
a
restaurant
menu.
This
three
things
should
be
very
well
defined before
you
build
the
questionnaire.

What
is
the
most
important
things
in
a
survey?

Surveys
and
Polls
Techniques
(Questionnaire
Process)

4
The
quantitative
values
of
a
variable
are
represented
by
numbers.
The
Quantitative
variables
can
be
discrete
or
continuous.

A
variable
is
said
discreet
when
their
values
can
be
related
by
a
two-‐way
matching
with
a
subset
of
integers.
A
variable
is
said
to
be
continuous
if
their
values
can
be
related
by
a
two-‐way
matching
with
real
numbers
intervals.
Like
This,
discrete

variables
take
integer
values
and
continuous
variables
assume
actual
values.
The
possible
values
of
a
qualitative
variable
are
qualities
or
symbols.
The
relationship
between
these
values
only
makes

sense
in
terms
of
equality
and
inequality.
The
qualitative
variables
(describe
types
or
classes)
can
be:
dichotomous
(only
two

categories)
or
polyatomic
(three
or
more
categories).
Typology
of
variables
Surveys
and
Polls
Techniques
(Questionnaire
Process)

5
The
nominal
scales
are
merely
classifications,
allowing
describe
the
variables
or
designate
the
subject,
without
recourse
to

quantification.
It
is
the
most
elementary
level
representation,
based
on
the
grouping
and
classification
elements
for
the

formation
of
distinct
sets.
Example:
Marital
status,
hobbies,
hair
color,
etc.

In
ordinal
scale
the
variable
used
to
measure
a
particular
characteristic,
beyond
to
identify
the
relevance
to
a
class,
also

assumes
that
the
different
classes
are
ordered
under
certain
criteria.
Each
observation
is
the
association
of
the
individual

measured
at
a
given
class,
without,
however,
to
quantify
the
magnitude
of
the
difference
from
other
individuals.
Example:

Role,
type
of
degree,
height,

etc.

The
interval
scale is
a
quantitative
way
to
record
a
phenomenon
by
measuring
the
in
terms
of
its
specific
intensity,
namely

positioning
it
relative
to
a
value
known
arbitrarily
termed
as
zero.
This
measurement
is
performed
being
defined
the
unit
of

measurement
to
be
used
in
this
comparison
from
the
difference
between
the
value
in
zero
point
and
a
second
known
value.
A

basic
property
of
interval
scale,
derived
from
the
way
it
is
set,
is
that
equal
variations
in
the
measurements
interval,

correspond
necessarily
to
the
same
variations
in
the
values
assumes
the
variable.
Example:
Temperature
scale.

The
ratio
scale
is
the
most
complete
and
sophisticated
scales.
She
is
a
quantification
produced
from
the
identification
of
a

zero
point
that
is
fixed
and
absolute,
representing,
in
fact,
a
minimum
point.
On
this
scale,
a
measurement
unit
is
defined
in

terms
of
the
difference
between
the
zero
point
and
a
known
intensity.
From
this,
each
observation
is
measured
according
to

their
distance
to
the
zero
point,
this
distance
expressed
in
previously
defined
unit
of
measure.
Example:
Customer
care

satisfaction.

Types
of
Scales

Surveys
and
Polls
Techniques
(Questionnaire
Process)

6
The
ratio
scale
is
the
one
that
have
more
information,
but
the
scale
of
choice
is
determined
by
the
nature
of
the
objects
or

people
being
measured.
The
above
example
is
a
typical
error
that
some
people
commit
when
build
a
questionnaire:
• No
Opinion
column,
if
this
possibility
is
regard,
you
give
the
survey
to
the
wrong
people.
• Five
categories
of
choice,
the
people
have
tendency
to
pull
the
center,
if
they
aren´t
decided
between
good
and
bad.

• Number
of
categories
of
choice,
if
you
expect
the
people
ask
extremely
positive
or
negative
you
should
use
more

categories
in
case
to
do
a
better
difference
between
answers.
This
can
help
in
evaluation
scales,
where
is
expect
all
the

people
have
similar
responses.

How
should
use
scales
in
a
really
situation?
Surveys
and
Polls
Techniques
(Questionnaire
Process)

Rits Brown Bag - Surveys and Polls Techniques

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