Reliability and Validity
Reliability: consistency in measurement
observed score = true score + error (X=T+E)
Error: refers to the component of the observed score that does not have to do with the test taker’s true ability or trait being measured
Measurement Error
Random Error: a source of error in measuring a targeted variable caused by unpredictable fluctuations and inconsistencies of other variables in the measurement process (i.e., noise)
Systematic Error: a source of error in measuring a variable that is typically constant or proportionate to what is presumed to be the true value of the variable being measured
Test Construction: variation may exist within items on a test or between tests
Test Administration
sources of error may stem from the testing environment
test taker variable such as pressing emotional problems, physical discomfort, lack of sleep, and the effects of drugs or medication
examiner-related variables such as physical appearance and demeanor may play a role
Test Scoring and Interpretation
computerizing reduces error in test scoring but many tests still require expert interpretation
subjectivity in scoring can enter into behavioral assessment
an estimate of reliability obtained by correlating pairs of scores from the same people on two different administrations of the same test
Most appropriate for variables that should be able over time (e.g., personality) and not appropriate for variables expected to change over time (e.g., mood)
with intervals over 6 months the estimate of test-retest reliability is called the coefficient of stability
Carryover Effect: this effect occurs when the first testing session influences scores from the second session
Practice Effect: when a test is given a second time, test takers score better because they have sharpened their skills by having taken the test the first time
Coefficient of Equivalence: the degree of the relationship between various forms of a test
Alternate Forms
different versions of a test that have been constructed so as to be parallel
item content and difficulty is similar between tests
Reliability is checked by administering 2 forms of a test to the same group. Scores may be affected by error related to the state of test takers (e.g., practice, fatigue, etc.) or item sampling
obtained by correlating 2 pairs of scores obtained from equivalent halves of a single test administered once
entails 3 steps
divide the test into equivalent halves
calculate a Pearson r between scores on the 2 halves of the test
adjust the half-test reliability using the Spearman-Brown formula
Spearman-Brown Formula: allows a test developer or user to estimate internal consistency reliability from a correlation of 2 halves of a test
the degree of relatedness of items on a test
able to gauge the homogeneity of a test
statistics of choice for determining the inter-item consistency of dichotomous items
may be used if there is reason to assume that all test items have approximately the same degree of difficulty
mean of all possible split-half correlations, corrected by the Spearman-Brown formula
most popular approach for internal consistency
value range from 0 to 1
0.90 alpha is already a redundancy of items
the degree of agreement or consistency between 2 or more scorers (judges or raters) with regard to a particular measure
interrater or interscorer or interobserver or interjudge reliability
it is often used with behavioral measures
guards against biases or idiosyncrasies in scoring
Coefficient of Inter-Score Reliability
the scores from different raters are correlated with one another
Kappa Statistic
best method for assessing the level of agreement among several observers
Validity: a judgment or estimate of how well a test measures what it purports to measure in a particular context
Validation
the process of gathering and evaluating evidence about validity
both test developers and test users may play a role in the validating of a test
test users may validate a test with their own group of test takers -- local validation
3 Categories
Content Validity: measure of validity based on an evaluation of the subjects, topics, or content covered by the items in the test
Criterion-Related Validity: measure of validity obtained by evaluating the relationships of scores obtained on the test to scores on others tests or measures
Construct Validity: a measure of validity that is arrived at by executing a comprehensive analysis of
how scores on the test relate to other test scores and measures
how scores on the test can be understood within some theoretical framework for understanding the construct that the test was designed to measure
a judgment concerning how relevant the test items appear to be
if a test appears to measured what it purports to measure “on the face of it”, it could be said to be high on face validity
many self-report personality tests are high in face validity, whereas projective tests, such as the Rorschach tend to be low in face validity (i.e., it is not apparent what is being measured)
a perceived lack of face validity may lead to a lack of confidence in the test measuring what it purports to measure
a judgment of how adequately a test samples behaviors representative of the universe of behavior that the test was designed to sample
Do the test adequately represent the content that should be included in the test?
Test Blueprint: a plan regarding the types of information to be covered by the items, the number of items in tapping each area of coverage, the organization of the items in the test, etc.
if more than half the raters indicate that an item is essential, the item has at least some content validity
2 Concepts Relevant to Content Validity
Construct Underrepresentation
describes the failure to capture important components of a construct
Construct-Irrelevant Variance
occurs when scores are influenced by factors irrelevant to the construct
Criterion: the standard against which a test or a test is evaluated
Characteristics
relevant for the matter at hand
valid for the purpose for which it is being used
uncontaminated: not part of the predictor
a judgment of how adequately a test score can be used to infer an individual’s most probable standing on some measure of interest
Concurrent Validity: an index of the degree to which a test score is related to some criterion measure obtained at the same time (concurrently)
Predictive Validity: an index of the degree to which a test score predicts some criterion, or outcome, measure in the future
tests are evaluated as to their predictive validity
the ability of a test to measure a theorized construct (e.g., intelligence, aggression, personality, etc.) that it purports to measure
if a test is a valid measure of a construct, high scorers and low scorers should behave as theorized
all types of validity evidence, including evidence from the content- and criterion-related varieties of validity, come under the umbrella of construct validity
Evidence
Homogeneity: how uniform a test is in measuring a single concept
Changes with Age: some constructs are expected to change over time (e.g., reading rate)
Pretest of Posttest Changes: test scores change as a result of some experience between a pretest and a posttest (e.g., therapy)
Distinct Groups: scores on a test vary in a predictable way as a function of membership in some group (e.g., scores on the Psychological Checklist for prisoners vs civilians)
Convergence: scores on the test undergoing construct validation tend to correlate highly in the predicted direction with scores on older, more established, tests designed to measure the same (or similar) construct
Divergent: validity coefficient showing little relationship between test scores and other variables with which scores on the test should not theoretically be correlated
Factor Analysis: a new test should load on a common factor with other tests of the same construct
Reliability: consistency in measurement
observed score = true score + error (X=T+E)
Error: refers to the component of the observed score that does not have to do with the test taker’s true ability or trait being measured
Measurement Error
Random Error: a source of error in measuring a targeted variable caused by unpredictable fluctuations and inconsistencies of other variables in the measurement process (i.e., noise)
Systematic Error: a source of error in measuring a variable that is typically constant or proportionate to what is presumed to be the true value of the variable being measured
Test Construction: variation may exist within items on a test or between tests
Test Administration
sources of error may stem from the testing environment
test taker variable such as pressing emotional problems, physical discomfort, lack of sleep, and the effects of drugs or medication
examiner-related variables such as physical appearance and demeanor may play a role
Test Scoring and Interpretation
computerizing reduces error in test scoring but many tests still require expert interpretation
subjectivity in scoring can enter into behavioral assessment
an estimate of reliability obtained by correlating pairs of scores from the same people on two different administrations of the same test
Most appropriate for variables that should be able over time (e.g., personality) and not appropriate for variables expected to change over time (e.g., mood)
with intervals over 6 months the estimate of test-retest reliability is called the coefficient of stability
Carryover Effect: this effect occurs when the first testing session influences scores from the second session
Practice Effect: when a test is given a second time, test takers score better because they have sharpened their skills by having taken the test the first time
Coefficient of Equivalence: the degree of the relationship between various forms of a test
Alternate Forms
different versions of a test that have been constructed so as to be parallel
item content and difficulty is similar between tests
Reliability is checked by administering 2 forms of a test to the same group. Scores may be affected by error related to the state of test takers (e.g., practice, fatigue, etc.) or item sampling
obtained by correlating 2 pairs of scores obtained from equivalent halves of a single test administered once
entails 3 steps
divide the test into equivalent halves
calculate a Pearson r between scores on the 2 halves of the test
adjust the half-test reliability using the Spearman-Brown formula
Spearman-Brown Formula: allows a test developer or user to estimate internal consistency reliability from a correlation of 2 halves of a test
the degree of relatedness of items on a test
able to gauge the homogeneity of a test
statistics of choice for determining the inter-item consistency of dichotomous items
may be used if there is reason to assume that all test items have approximately the same degree of difficulty
mean of all possible split-half correlations, corrected by the Spearman-Brown formula
most popular approach for internal consistency
value range from 0 to 1
0.90 alpha is already a redundancy of items
the degree of agreement or consistency between 2 or more scorers (judges or raters) with regard to a particular measure
interrater or interscorer or interobserver or interjudge reliability
it is often used with behavioral measures
guards against biases or idiosyncrasies in scoring
Coefficient of Inter-Score Reliability
the scores from different raters are correlated with one another
Kappa Statistic
best method for assessing the level of agreement among several observers
Validity: a judgment or estimate of how well a test measures what it purports to measure in a particular context
Validation
the process of gathering and evaluating evidence about validity
both test developers and test users may play a role in the validating of a test
test users may validate a test with their own group of test takers -- local validation
3 Categories
Content Validity: measure of validity based on an evaluation of the subjects, topics, or content covered by the items in the test
Criterion-Related Validity: measure of validity obtained by evaluating the relationships of scores obtained on the test to scores on others tests or measures
Construct Validity: a measure of validity that is arrived at by executing a comprehensive analysis of
how scores on the test relate to other test scores and measures
how scores on the test can be understood within some theoretical framework for understanding the construct that the test was designed to measure
a judgment concerning how relevant the test items appear to be
if a test appears to measured what it purports to measure “on the face of it”, it could be said to be high on face validity
many self-report personality tests are high in face validity, whereas projective tests, such as the Rorschach tend to be low in face validity (i.e., it is not apparent what is being measured)
a perceived lack of face validity may lead to a lack of confidence in the test measuring what it purports to measure
a judgment of how adequately a test samples behaviors representative of the universe of behavior that the test was designed to sample
Do the test adequately represent the content that should be included in the test?
Test Blueprint: a plan regarding the types of information to be covered by the items, the number of items in tapping each area of coverage, the organization of the items in the test, etc.
if more than half the raters indicate that an item is essential, the item has at least some content validity
2 Concepts Relevant to Content Validity
Construct Underrepresentation
describes the failure to capture important components of a construct
Construct-Irrelevant Variance
occurs when scores are influenced by factors irrelevant to the construct
Criterion: the standard against which a test or a test is evaluated
Characteristics
relevant for the matter at hand
valid for the purpose for which it is being used
uncontaminated: not part of the predictor
a judgment of how adequately a test score can be used to infer an individual’s most probable standing on some measure of interest
Concurrent Validity: an index of the degree to which a test score is related to some criterion measure obtained at the same time (concurrently)
Predictive Validity: an index of the degree to which a test score predicts some criterion, or outcome, measure in the future
tests are evaluated as to their predictive validity
the ability of a test to measure a theorized construct (e.g., intelligence, aggression, personality, etc.) that it purports to measure
if a test is a valid measure of a construct, high scorers and low scorers should behave as theorized
all types of validity evidence, including evidence from the content- and criterion-related varieties of validity, come under the umbrella of construct validity
Evidence
Homogeneity: how uniform a test is in measuring a single concept
Changes with Age: some constructs are expected to change over time (e.g., reading rate)
Pretest of Posttest Changes: test scores change as a result of some experience between a pretest and a posttest (e.g., therapy)
Distinct Groups: scores on a test vary in a predictable way as a function of membership in some group (e.g., scores on the Psychological Checklist for prisoners vs civilians)
Convergence: scores on the test undergoing construct validation tend to correlate highly in the predicted direction with scores on older, more established, tests designed to measure the same (or similar) construct
Divergent: validity coefficient showing little relationship between test scores and other variables with which scores on the test should not theoretically be correlated
Factor Analysis: a new test should load on a common factor with other tests of the same construct