Reliability Flashcards
What is reliability a measure of?
Consistency in measurement over time. (If your observation of the behavior will give you the same concept of the behavior at different points in time.)
True Score Theory
The observed score = True Ability + Random Error
What are the two types of error?
- Random
* Systematic
How do the two types of error differ?
Random errors in experimental measurements are caused by unknown and unpredictable changes in the experiment. These changes may occur in the measuring instruments or in the environmental conditions.
Examples of causes of random errors are: electronic noise in the circuit of an electrical instrument, irregular changes in the heat loss rate from a solar collector due to changes in the wind.
Systematic errors in experimental observations usually come from the measuring instruments. They may occur because: there is something wrong with the instrument or its data handling system, or because the instrument is wrongly used by the experimenter.
Random Error
*Increases variability, not the mean
Why is there no change in mean with random error?
We assume random inflated scores will cancel out random deflated scores
Good Variability
Variability in data that is truly based on differences in the construct (like if one person has more of a trait than somebody else).
Noise
Variability around mean
Systematic Error
Affects the average (shifts it)–this is called bias
*Can happen due to testing bias or history x selection, etc.
How can you reduce Measurement Error (from systematic error)
- Pilot Test
- Train-standardization
- Double-check Data
- Stat Correction
- Multiple Measures
What is a downside of Multiple Measures?
Although you get high reliability you get low efficiency.
Types of Reliability
- Inter-Rater or Inter-Observer Reliability
- Test-Retest Reliability
- Parallel-Forms Reliability
- Internal Consistency Reliability
Inter-Rater Reliability
Consistency across raters
Test-Retest Reliability
Consistency of a single measurement at two points in time
Parallel Forms Relaibility
Consistency across multiple versions of the same measure