Uploaded by Divya Gupta Sangal

Drawing Conclusions

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Drawing Conclusions
Approaches to research
Correlation &
Causation
Correlation establishes a mathematical likelihood of a significant
relationship between two variables.
•
It shows the extent to which 2 factors are related.
•
It can not establish causation.
•
It does not show the direction of the
relationship.
•
It can be used to describe and predict
relationships but not explain them.
Correlation can be used to explore causal
relationship not by establishing causation
but by ruling out other possible factors.
Replication
The results of a study would be comparable if
the study were to be repeated by the same or
different researcher at different times.
Replication matters because through it, the
psychologists knows that a particular conclusion
has application beyond its own research,
research settings and participants.
If a study cannot be replicated
Better research method is
required
Understanding of the
phenomena is insufficient
replicability
factors that increase
Studies with higher statistical power which is a function
of sample size appears to be more replicable.
Studies with more statistically significant results are
more replicable.
Requiring pre – registration of research designs to lock
in hypothesis and hold researchers more accountable.
Generalisation
Results from a research on a sample are generalized to wider
population.
Statistical Generalisation:
Many researchers test and re - test their strong and
Analytic Generalisation:
consistent results through replication.
According to Robert Yin, 2012 – it depends on
Each successful replication strengths the consistency
using a study’s theoretical framework to establish
of original study.
a logic that might be applicable to other
According to Trochin, 2006, generlisation
situations.
specifically involves statistics.
It refers to the transfer of findings from a
study to context or groups of people outside
of the original study.
A conclusion is transferable based on the
following:
• Sampling
• Quality of study
• Triangulation
It is used in psychology to measure behavior
and mental processes using multiple methods
or multiple viewpoints.
It helps validate the results or findings of a
study.
It is thought of as a way of compensating for
the weakness and blind spots of any given
research method.
Checks the integrity of data from a given
study by comparing it with other research.
Data
Triangulation
Seeks different
sources of data which
which may vary with
time, space and
people involved.
• It increases
external validity.
• It allows for
reliability check.
Investigator
Triangulation
It involves multiple
investigators or
researchers.
• It eliminates the
blind spots in the
way a particular
researcher collects
the data.
Theory
Triangulation
Methodologica
l Triangulation
It interprets and
applies research
conclusions using
multiple theoretical
viewpoints or
approaches.
It usually refers to
collection of data on
the same
psychological
phenomena using a
variety of methods.
It adds credibility to
the research.
It provides most
obvious way of
combining
qualitative and
quantitative
Reductionism essentially
takes a complex
Holism accounts for a
phenomena and boils it
wider range of possible
down to its simplest and
factors of shaping a
most primitive
behaviour.
explanation.
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