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10 Steps to Select and Assessment Tool
1. Identify type of assessment tool
2. Identify intended purpose of the assessment tool
3. Determine frame of reference that guided creation of tool
4. Determine appropriate population
5. Determine environment protocols and/or client factors impacting set-up of environment
6. Gather necessary materials
7. Identify user qualifications
8. Review administration protocols
9. Review scoring protocols and usefulness of scores
10. Review Psychometric Properties:• Validity• Reliability
What is step 10 of selecting an assessment tool?
Review Psychometric Properties:• Validity• Reliability
What are assessment tools evaluating?
Latent constructs to generate numerical data
Latent Constructs
phenomena that are not easily observed
When talking about reliability and validity, are you talking about the data or the tool?
The data
3 Types of Psychometric Properties
Validity, Reliability, Responsiveness
Reliability
refers to the consistency of the results provided by the scores on an assessment,
Validity
how true the scores are to the underlying theory
and concepts that the assessment claims to measure
Responsiveness
ability of the scores on a measure to indicate change as a result of an intervention
Scales of Measurement
Nominal, Ordinal, Interval, Ratio
Nominal
- Categories or labels
- Frequency or proportion operations
- Ex: Male, Female, Non-binary/Non-conforming, & Transgender
Ordinal
- Rank-ordered categories
- Frequency or Proportion operations
- Ex: MMT scale, Likert Scales (Strong agree, agree, neutral, disagree, strongly disagree)
Interval
- Units have equal distance but there is no true 0
- Multiplication, Average operations
- Ex: Temperature; 24 hour clock time
Ratio
- Units have equal distance and there is a true 0
- All statistical/mathematical operations
- Ex: weight, height, range of motion
Correlation
degree of association between 2 random variables
Correlation Coefficient (r)
statistical indicator that quantifies the degree of the relationship
Direction of relationship for Correlation Coefficient
- 1.00 - +1.00
(r always falls in this range)
What does 0.00 mean
unrelated
What does -1.00 mean
negatively impacted
What does +1.00 mean
positively impacted
What does it mean if you are closer to -1 or +1
There is a stronger relationship
What are p values
significance or amount of possible error
T/F: Reliability & Validity is reported in correlation coefficients (0 to +1)
True
What are the 3 types of correlation coefficient reports?
- Pearson Product-Moment Correlation Coefficient
- Spearman's Rank Correlation Coefficient
- Intraclass Correlation
Standard Error of Measurement (Reliability)
variability in measurement
Reliability Coefficient (Reliability)
consistency & reproducibility of scores
5 Types of Reliability
- Standard of Error of Measurement (SEM)
- Test-Retest Reliability
- Parallel Forms of Equivalence
- Internal Consistency
- Stability of Scores
Standard Error of Measurement (SEM)
combo of actual score and the inherent testing error out of the OTs control
Test-Retest Reliability
measures whether change in individuals performance is the result of growth vs. external forces
Parallel Forms of Equivalence
Reliability of 2 different forms of the assessment tool to account for learning/memory
Internal Consistency
items measuring same concept or skill (reported as coefficient α)
- Not recommended to be the only thing OT looks at
Stability of Scores
the stability of scores based on the rater (Intrarater Reliability and Interater Reliability)
Intrarater Reliability
reliability among self
Interater Reliability
reliability between 2 separate examiners
Validity reworded
"is this a valid assessment of what we are saying we are assesing?"
Types of Validity
- Face Validity
- Content Validity
- Criterion-Related validity
- Concurrent Validity
- Predictive Validity
- Construct Validity
- Factorial Validity
Face Validity
outline purpose of the assessment tool
- not empirically tested
Content Validity
test items on assessment represent the construct being tested
Criterion Related Validity
The assessment is measuring same concept according to a "well-established external measure
Concurrent Validity
A form of Criterion Related Validity
- assessment measures concept similar to "gold standard"
Ex. the concurrent validity of scores on a measure is determine to be adequate when the correlation between the measure and another standard or legacy measure used in practice is high
Predictive Validity
A form of Criterion Related Validity
- results from assessment provide info on future performance (Ex. KELS predicts independence)
Construct Validity
Assessment is congruent w/ identified theory
- Includes convergent and divergent validity
Convergent Validity
measuring if 2 assessments measure the same concept
Ex. A very high correlation between two similar tests of a construct can mean that administration of both tests is not needed because they measure the same thing
Divergent Validity
show low correlation w/ other measures of dissimilar constructs
Ex. Scores on a measure of shoulder function will show low correlation w/ those on a measure of walking, an unrelated construct
Factorial Validity
different constructs measured by a single measure
Responsiveness reworded
indicates degree of change from interventions provided, looking at outcome
Types of Responsiveness
- Minimal Detectable Change
- Minimal Clinically Important Difference
- Floor & Ceiling Effects
- Sensitivity and Specificity
Minimal Detectable Change
changes in scores beyond measurement error that a test can detect
Ex. Stroke Impact Scale's ADL/IADL sub scale, the standard error of measurement is 6.3, thus, a change score of 6.3 or less from admission to discharge for a client w/ stroke would not qualify as a change because it is w/n the bounds of the test's measurement error
Minimal Clinically Important Difference
change in scores that are meaningful to person/family
Ex. MCID for the Stroke Impact Scale's Hand Function subscale is 17.8 points for people with chronic stroke. A score of 17.8 or greater is considered a clinically meaningful change for the client and would a desirable outcome after OT intervention
Floor and Ceiling Effects
cannot detect changes in scores at lower ability level (Floor) and upper ability level (Ceiling), 15-20% is acceptable
Example of Floor and Ceiling Effects
For Stroke Impact Scale's Hand Function sub scale, Duncan et al., reported floor effects in 40% of those w. moderate stroke and in 2% of those with mild stroke. The same study reported the reverse trend: ceiling effects in 15% of those w/ mild stroke and 5% of those with moderate stroke. Thus, one can interpret the floor effects for moderate stroke as unacceptable for this scale, and the scale should be used with caution for those w/ moderate stroke.
Sensitivity and Specificity
can detect impairment w/ high accuracy (sensitivity)
- can detect those w/o impairment (specificity)
Ex. Beck Depression
Ex. MMSE is used to detect cognitive impairment; for community-dwelling individuals, its sensitivity is reported to be 85% and its specificity is reported to be 86%.