Zusammenfassung der Ressource
Psychology Research Methods 1
- Quantative
- Easy to
summerise
(+)
- Less
meaningful (-)
- NUMERICAL
DATA
- Qualatative
- Easy to
analyse (+)
- Longer to
analyse (-)
- THOUGHTS AND
FEELINGS
- Sampling Methods
- Target Population: A
group that shares
the characteristics
that the researcher
needs.
- Representative
Sample: a smaller
version of the
target population.
- Random
- Everyone
stands
an equal
chance of
being
chosen.
- E.g.
Picking out
of a hat.
- (+) - quick,
economical,
no bias.
- (-) - Freak Sample,
time consuming
when it comes to
identifying
everyone
- Opportunity
- Anyone
who is
available.
- E.G.
Asking
people in a
library.
- (+) - Least
time
consuming.
- (-) - Bias due
to
confidence
of Ppt's,
researcher
bias.
- Stratified
- (+) - Avoids
'freak',
Objective.
- (-) - Time
consuming
- They identify
subgroups
before using
random
sampling
- E.g. Sample of
20. 30% women
and 70% men, 6
women and 14
men.
- Systematic
- Every nth
member of
target
population,
- E.g. Every
5th house
of a street.
- (+) - Avoids
bias, no
control,
representative
- (-) - Freak
sample,
researcher
bias.
- Research
Questions
- Single
blind: Ppt's
do not
know what
condition
they are in.
- Double blind: The
Ppt's nor the
experimenter
know the
conditions.
- Aim - A statement
describing what you
intend to
investigate.
- One tailed
-
Directional
- increase
of
decrease.
- Two tailed -
Non-directional
- difference.
- I.V. -
what you
change.
- D.V.
What
you
measure.
- Null
hypothesis -
predicts no
difference.
- Types of experiment
- Laboratory
- Highly controlled,
artificial setting.
Researcher
manipulates I.V. and
ppt's are aware they
are taking part in a
Exp.
- (+) -
Replicable,
reliable.
- (-) -
Artificial,
unnatural
behaviour.
- Field
- Natural
environment,
less control over
variable.
Researcher still
deliberately
manipulates the
I.V. Ppt's aren't
aware.
- (+) - some control
over Extraneous
variables, Ecological.
- (-) - No
control over
environmental
factors, ethical
issues.
- Quasi
- Researcher does
not deliberately
manipulate the
variables. I.V.
naturally occurs.
Field or Lab.
- (+) - No
manipulation
at all.
- (-)
-Researchers
have to wait
for things to
naturally
occur.
- Experimental Designs
- Independent Measures
- Different ppt's in
different
conditions,
- (+) - No
order effects,
Control of
variables.
- (-) -
Individual
difference,
- Repeated Mesasures
- The same ppt's
doing each task
- (+) -
Differences due
to change of I.V.
, Fewer Ppt's
- (-) - Order effects
(Practice)
- Matched Pairs Design
- Different ppt's in
different conditions, all
ppt's related by
psychological
characteristics.
- (+) - No
order effects,
individual
differences
are reduced,
- (-) - Time
consuming
and expensive
to match
everyone
together.
- Controlling Variables
- Confounding
Variables.
- Any
variable
(other than
the I.V.)
which HAS
affected the
D.V. but it
wasn't
identified
before the
study.
- Extraneous
Variables.
- Any variable (Other than the I.V.) which
MAY affect the D.V. if not controlled for
but it has been identified before the
study
- Situational
Variables
- Certain
aspects of the
situation or
environment
which may
affect ppt's
behaviour
- E.g Noise,
Lighting,
weather.
- Demand
Characteristics
- Features of cues in an
experiment which help
ppt's figure out the aim
of the study.
- Experimenter
Varibles
- This occurs when
the experimenter
treats some ppt's
different to
others.
- Written
instructions
is the best
way to
control this.
- Participant Variables
- These occur
when individual
characteristics of
ppt's affect their
behaviour
- There are 3
techniques for
controlling
extraneous variables.
- Standarisation
- MAKE
EVERYTHING THE
SAME!
- Counterbalancing
- ABBA - One group does AB
the other does BA.
Balancing out order effects.
- Randomisation
- Controlling the variables by
means of chance.
- Strengths and Weaknesses
- Strengths
- - High levels
of control over
E.V's.
- - Lab
experiments
are highly
controlled.
- - Easy to establish
cause and effect.
Therefore easy to
predict and control
behaviour
- - Highly
scientific
- - Objective
- Weaknesses
- - Artificial
environment
- - Lack of Ecological
Validity
- - Experiments
are narrowly
assessed than
what they
would be in
real life
- - Ppt's are aware they
are taking part in a
experiment therefore
show demand
characteristics.