"In statistics and psychometrics, reliability is the overall consistency of a measure."
The extent to which a measurement tool or experimental design produces consistent results over time or across different researchers.
Measurement: The process of quantifying or qualifying an attribute or characteristic of a system or process.
Validity: The extent to which a measurement or test accurately measures what it is intended to measure.
Reliability: The degree to which a measurement or test produces consistent results over time, under different conditions and with different analysts.
Test-retest reliability: The degree to which the results of a test are consistent when the same individuals are retested under similar conditions.
Split-half reliability: The degree of consistency between two halves of a test.
Inter-rater reliability: The degree to which different raters or observers of a status or behavior assign the same ratings or scores.
Internal consistency: The degree to which the items of a test or scale are measuring the same construct or trait.
Cronbach’s alpha: A measure of internal consistency, used to assess the reliability of a scale or test.
Interrater agreement: A statistical measure of agreement or reliability in the scoring or coding of observations or ratings made by different raters.
Generalizability theory: A statistical framework for assessing the reliability and validity of measurements across different situations, subjects, and raters.
Test-Retest reliability: The consistency of results when administering the same test or measure to the same group of participants at different times.
Inter-Rater reliability: The consistency of ratings or observations made by different raters or observers.
Parallel Forms reliability: The consistency of results when administering two different but equivalent forms of a test to the same group of participants.
Internal Consistency reliability: The extent to which the items on a measure are consistent with each other and measure the same construct.
Split-Half reliability: The consistency of results between two halves of a test or measure.
Alternate-Forms reliability: The consistency of results when two different but equivalent tests or measures are administered to the same group of participants.
Intraclass Correlation reliability: A statistical measure of the degree of agreement between multiple raters, measures, or trials.
Stability reliability: The degree to which a measure or test remains consistent over a period of time.
Face Validity reliability: The degree to which a test or measure appears to measure what it is intended to measure.
Content Validity reliability: The degree to which a test or measure covers all aspects of a particular construct or topic.
"Various kinds of reliability coefficients, with values ranging between 0.00 (much error) and 1.00 (no error), are usually used to indicate the amount of error in the scores."
"A measure is said to have a high reliability if it produces similar results under consistent conditions."
"Scores that are highly reliable are precise, reproducible, and consistent from one testing occasion to another."
"Essentially the same results would be obtained."
"Measurements of people's height and weight are often extremely reliable."
"A reliability coefficient value of 0.00 indicates much error in the scores."
"A reliability coefficient value of 1.00 indicates no error in the scores."
"Reliability is the characteristic of a set of test scores that relates to the amount of random error from the measurement process that might be embedded in the scores."
"Scores that are highly reliable are precise."
"Scores that are highly reliable are consistent from one testing occasion to another."
"Yes, various kinds of reliability coefficients... are usually used to indicate the amount of error in the scores."
"A measure is said to have a high reliability if it produces similar results under consistent conditions."
"To assess the overall consistency of a measure."
"Random error from the measurement process might be embedded in the scores."
"Scores that are highly reliable are reproducible."
"Essentially the same results would be obtained."
"Yes, reliability coefficients have values ranging between 0.00 (much error) and 1.00 (no error)."
"Measurements of people's height and weight are often extremely reliable."
"Measurements lacking reliability would produce inconsistent, imprecise, and non-reproducible results."