Reliability and
Validity
Today’s Objectives
 Understand the difference between reliability
and validity
 Understand how to develop valid indicators of
a concept
Reliability and Validity
Reliability
• How accurate or
consistent is the
measure?
• Would two people
understand a
question in the same
way?
• Would the same
person give the same
answers under
similar
Validity
• Does the concept
measure what it is
intended to measure?
• Does the measure
actually reflect the
concept?
• Do the findings
reflect the opinions,
attitudes, and
behaviors of the
target population?
Valid and reliable
Valid but not reliable
Reliable but not valid
Levels of Reliability
Example: Person’s weight
Estimate on the part of the subject
LOW
HIGH
Estimate on the part of the observer
Old bathroom scale
Industrial scale
Reliability
 Reliability is the consistency of your 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. In short, it is the
repeatability of your measurement. A measure is
considered reliable if a person's score on the same
test given twice is similar. It is important to
remember that reliability is not measured, it is
estimated.
 Here is a simple example to illustrate this. Suppose
that you have bathroom weight scales and these
weight scales are broken. The weight scales will
represent the methodology. One person weighs you
with these scales and obtains a result. Then, the
weight scales are passed along to another person.
The second person follows the same procedure, uses
the same weight scales and weighs you. The same
broken weigh scales are used. The two people, using
the same broken weight scales, come to similar
measures. The results are reliable. The results are
obtained by two (or perhaps more) people using the
faulty scale. Although the results are reliable, they
may not be valid. That is, by using the faulty scales,
the results are not a true indicator of the real
weight.
Reliability
 Accuracy, precision, or consistency of
measurement
 Degree to which measures are free from
error and therefore yield consistent
results
 Reliable measures mean the same data
would have been collected under similar
circumstances
Methods used to determine
reliability
 Test-retest method
 Administer the same measures to the same respondents at two separate
points in time
 Split-half method
 Correlate one-half of a scale with the other half
 Calculate reliability coefficient
 Statistical test that measures the internal consistency of a set of items
How to improve Reliability?
 Quality of items; concise statements, homogenous words (some sort
of uniformity)
 Adequate sampling of content domain; comprehensiveness of items
 Longer assessment – less distorted by chance factors
 Developing a scoring plan (esp. for subjective items – rubrics)
 Ensure VALIDITY
Validity
 The ability of a Instruemnet to measure
what it is intended to measure
 The extent to which a measure reflects
the real meaning of the concept under
consideration
 The extent to which a measure reflects
the opinions and behaviors of the
population under investigation
 Can not be valid unless also reliable
Validity
 Validity refers to the degree to which a study accurately reflects or
assesses the specific concept that the researcher is attempting to
measure. While reliability is concerned with the accuracy of the
actual measuring instrument or procedure, validity is concerned with
the study's success at measuring
what the researchers set out to measure.
Validity
 Depends on the Purpose of the measure
 E.g. a ruler may be a valid measuring device for length,
but isn’t very valid for measuring volume
 Measuring what ‘it’ is supposed to
 Must be inferred from evidence; cannot be directly
measured
What would be valid measures of…
 Intelligence?
 Religiosity?
 Knowledge of RPTS 336 material?
 Tourism motivations?
 Commitment to a leisure activity?
 Satisfaction with a leisure service?
 Environmental ethic?
Types of validity
 Face (content) validity—professional agreement that variables cover
range of meanings included within the concept
 Items should be evaluated for their presumed relevance
 Items should cover a range of ideas rather than a single topic area
 Items should be evaluated in terms of the abilities of the individuals under
investigation
Types of validity
 Construct validity—the degree to which a measure relates to other variables,
as expected, within a given system of theoretical relationships
 Satisfaction and Program Quality
 Predictive validity—extent to which a measure predicts some future event
 Self-esteem and GPA
Factors that can lower Validity
 Unclear directions
 Difficult reading vocabulary and sentence
structure
 Ambiguity in statements
 Inadequate time limits
 Inappropriate level of difficulty
 Poorly constructed test items
 Test items inappropriate for the outcomes
being measured
Continued….
 Tests that are too short
 Improper arrangement of items (complex to easy?)
 Identifiable patterns of answers
 Teaching
 Administration and scoring
 Students
 Nature of criterion
External Validity
 Answers the question of generalizability
 To what populations or settings can this
effect be generalized?
 Two aspects
 Population validity
 Ecological Validity
Population Validity
 Is the actual sample representative of
 the theoretical population?
 To determine, need to identify:
 Theoretical population
 Accessible population
 Sampling design and selected sample
 Actual sample

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Validity and reliability/ how can check in thesis reliability and validity

  • 1. Reliability and Validity Today’s Objectives  Understand the difference between reliability and validity  Understand how to develop valid indicators of a concept
  • 2. Reliability and Validity Reliability • How accurate or consistent is the measure? • Would two people understand a question in the same way? • Would the same person give the same answers under similar Validity • Does the concept measure what it is intended to measure? • Does the measure actually reflect the concept? • Do the findings reflect the opinions, attitudes, and behaviors of the target population?
  • 3. Valid and reliable Valid but not reliable Reliable but not valid
  • 4. Levels of Reliability Example: Person’s weight Estimate on the part of the subject LOW HIGH Estimate on the part of the observer Old bathroom scale Industrial scale
  • 5. Reliability  Reliability is the consistency of your 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. In short, it is the repeatability of your measurement. A measure is considered reliable if a person's score on the same test given twice is similar. It is important to remember that reliability is not measured, it is estimated.
  • 6.  Here is a simple example to illustrate this. Suppose that you have bathroom weight scales and these weight scales are broken. The weight scales will represent the methodology. One person weighs you with these scales and obtains a result. Then, the weight scales are passed along to another person. The second person follows the same procedure, uses the same weight scales and weighs you. The same broken weigh scales are used. The two people, using the same broken weight scales, come to similar measures. The results are reliable. The results are obtained by two (or perhaps more) people using the faulty scale. Although the results are reliable, they may not be valid. That is, by using the faulty scales, the results are not a true indicator of the real weight.
  • 7. Reliability  Accuracy, precision, or consistency of measurement  Degree to which measures are free from error and therefore yield consistent results  Reliable measures mean the same data would have been collected under similar circumstances
  • 8. Methods used to determine reliability  Test-retest method  Administer the same measures to the same respondents at two separate points in time  Split-half method  Correlate one-half of a scale with the other half  Calculate reliability coefficient  Statistical test that measures the internal consistency of a set of items
  • 9. How to improve Reliability?  Quality of items; concise statements, homogenous words (some sort of uniformity)  Adequate sampling of content domain; comprehensiveness of items  Longer assessment – less distorted by chance factors  Developing a scoring plan (esp. for subjective items – rubrics)  Ensure VALIDITY
  • 10. Validity  The ability of a Instruemnet to measure what it is intended to measure  The extent to which a measure reflects the real meaning of the concept under consideration  The extent to which a measure reflects the opinions and behaviors of the population under investigation  Can not be valid unless also reliable
  • 11. Validity  Validity refers to the degree to which a study accurately reflects or assesses the specific concept that the researcher is attempting to measure. While reliability is concerned with the accuracy of the actual measuring instrument or procedure, validity is concerned with the study's success at measuring what the researchers set out to measure.
  • 12. Validity  Depends on the Purpose of the measure  E.g. a ruler may be a valid measuring device for length, but isn’t very valid for measuring volume  Measuring what ‘it’ is supposed to  Must be inferred from evidence; cannot be directly measured
  • 13. What would be valid measures of…  Intelligence?  Religiosity?  Knowledge of RPTS 336 material?  Tourism motivations?  Commitment to a leisure activity?  Satisfaction with a leisure service?  Environmental ethic?
  • 14. Types of validity  Face (content) validity—professional agreement that variables cover range of meanings included within the concept  Items should be evaluated for their presumed relevance  Items should cover a range of ideas rather than a single topic area  Items should be evaluated in terms of the abilities of the individuals under investigation
  • 15. Types of validity  Construct validity—the degree to which a measure relates to other variables, as expected, within a given system of theoretical relationships  Satisfaction and Program Quality  Predictive validity—extent to which a measure predicts some future event  Self-esteem and GPA
  • 16. Factors that can lower Validity  Unclear directions  Difficult reading vocabulary and sentence structure  Ambiguity in statements  Inadequate time limits  Inappropriate level of difficulty  Poorly constructed test items  Test items inappropriate for the outcomes being measured
  • 17. Continued….  Tests that are too short  Improper arrangement of items (complex to easy?)  Identifiable patterns of answers  Teaching  Administration and scoring  Students  Nature of criterion
  • 18. External Validity  Answers the question of generalizability  To what populations or settings can this effect be generalized?  Two aspects  Population validity  Ecological Validity
  • 19. Population Validity  Is the actual sample representative of  the theoretical population?  To determine, need to identify:  Theoretical population  Accessible population  Sampling design and selected sample  Actual sample