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Defining
Validity
Ensuring
Validity
Reliability in
Quantitative
Research
Reliability in
Qualitative
Research
VALIDITY AND RELIABILITY
By: Sheena Gyne O. Jayma
Validity
Validity is described as the
degree to which a research study
measures what it intends to
measure.
Refers to the
validity of the
measurement and
test itself.
Refers to the
ability to
generalize the
findings to the
target population.
Internal Validity External Validity
Content Validity Construct Validity
Is the estimate of how
much a measure
represents every
single element of a
construct. Content
validity is often seen
as a prerequisite to
criterion validity,
because it is a good
indicator of whether
the desired trait is
measured.
- Is used to ensure that
the measure is
actually measure what
it is intended to
measure and not
other variables.
- Refers to whether you
can draw inferences
about test scores
related to the concept
being studied.
Criterion-related Validity
This category is used
to predict future or
current
performance.
TRIANGULATION
Data Triangulation
Using evidence
from different types
of data sources, such
as primary and
secondary research
or interviews,
documents,
public records,
photographs and
observations.
Data
Theor
etical
Investi
gator
Methodo
logical
Theoretical Triangulation
Is the use of
multiple theories or
hypotheses when
examining a
situation or
phenomenon.
Data
Theor
etical
Investi
gator
Methodo
logical
Investigator Triangulation
Is the use of
more than one
investigator,
interviewer,
observer,
researcher
or data analyst in
a study. Data
Theor
etical
Invest
igator
Methodo
logical
Methodological Triangulation
Is the use of
multiple methods to
study a situation or
phenomenon. The
intention is to
decrease the
deficiencies and
biases that come
from any single
method.
Data
Theor
etical
Investi
gator
Metho
dologi
cal
Ensuring Validity
Design stage
• ensuring that there are adequate
resources for the required research to
be undertaken
• selecting an appropriate methodology
for answering the research questions
• selecting appropriate instrumentation for
gathering the type of data required
Stage of Data Gathering
• minimizing reactivity effects
• taking steps to avoid non-return of
questionnaires
• building on the motivations of the respondents
• tailoring the instruments to the concentration
span of the respondents and addressing other
situational factors (e.g. health, environment,
noise, distraction, threat)
Stage of Data Analysis
• using appropriate statistical treatments
for the level of data
• avoiding selective use of data
Reliability in Quantitative Research
Reliability is the consistency of
measurement, or the degree to which an
instrument measures the same way each
time it is used under the same condition
with the same subjects.
Test/Retest
Test/retest is the more conservative
method to estimate reliability.
Internal Consistency
Estimates reliability by grouping questions
in a questionnaire that measure the same
concept.
In qualitative research reliability
can be regarded as a fit between
what researchers record as data
and what actually occurs in the
natural setting that is being
researched, i.e. a degree of
accuracy and comprehensiveness
of coverage.
Reliability in Qualitative Research

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Validity and reliability (aco section 6a) sheena jayma msgs ed

  • 2. Validity Validity is described as the degree to which a research study measures what it intends to measure.
  • 3. Refers to the validity of the measurement and test itself. Refers to the ability to generalize the findings to the target population. Internal Validity External Validity
  • 4. Content Validity Construct Validity Is the estimate of how much a measure represents every single element of a construct. Content validity is often seen as a prerequisite to criterion validity, because it is a good indicator of whether the desired trait is measured. - Is used to ensure that the measure is actually measure what it is intended to measure and not other variables. - Refers to whether you can draw inferences about test scores related to the concept being studied.
  • 5. Criterion-related Validity This category is used to predict future or current performance.
  • 7. Data Triangulation Using evidence from different types of data sources, such as primary and secondary research or interviews, documents, public records, photographs and observations. Data Theor etical Investi gator Methodo logical
  • 8. Theoretical Triangulation Is the use of multiple theories or hypotheses when examining a situation or phenomenon. Data Theor etical Investi gator Methodo logical
  • 9. Investigator Triangulation Is the use of more than one investigator, interviewer, observer, researcher or data analyst in a study. Data Theor etical Invest igator Methodo logical
  • 10. Methodological Triangulation Is the use of multiple methods to study a situation or phenomenon. The intention is to decrease the deficiencies and biases that come from any single method. Data Theor etical Investi gator Metho dologi cal
  • 12. Design stage • ensuring that there are adequate resources for the required research to be undertaken • selecting an appropriate methodology for answering the research questions • selecting appropriate instrumentation for gathering the type of data required
  • 13. Stage of Data Gathering • minimizing reactivity effects • taking steps to avoid non-return of questionnaires • building on the motivations of the respondents • tailoring the instruments to the concentration span of the respondents and addressing other situational factors (e.g. health, environment, noise, distraction, threat)
  • 14. Stage of Data Analysis • using appropriate statistical treatments for the level of data • avoiding selective use of data
  • 15. Reliability in Quantitative Research Reliability is the consistency of measurement, or the degree to which an instrument measures the same way each time it is used under the same condition with the same subjects.
  • 16. Test/Retest Test/retest is the more conservative method to estimate reliability.
  • 17. Internal Consistency Estimates reliability by grouping questions in a questionnaire that measure the same concept.
  • 18. In qualitative research reliability can be regarded as a fit between what researchers record as data and what actually occurs in the natural setting that is being researched, i.e. a degree of accuracy and comprehensiveness of coverage. Reliability in Qualitative Research