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Method Evaluation & Quality Control

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Total cards: 24•Content version: v4•Public deck•Updated: 8/1/2026

Card preview (24)

#1
Front (Question)

is used to verify the acceptability of new methods prior to reporting patient results.

Back (Answer)

method evaluation

#2
Front (Question)

The foundation for monitoring performance (known as QC)

Back (Answer)

descriptive statistics

#3
Front (Question)

The three most commonly used descriptions of the center of a data set

Back (Answer)

Mean, median, mode

#4
Front (Question)

There are four commonly used descriptions of spread:

Back (Answer)

Range, SD, CV, SDI

#5
Front (Question)

the most frequently used measure of variation.

Back (Answer)

SD

#6
Front (Question)

represent the “average” distance from the center of the data (the mean) and every value in the data set.

Back (Answer)

CV

#7
Front (Question)

a calculation to show the number of SDs a value is from the target mean.

Back (Answer)

SDI

#8
Front (Question)

Three factors are generated in a linear regression

Back (Answer)

Slope, y-intercept, correlation coefficient (r)

#9
Front (Question)

is a measure of the strength of the relationship between the two methods.

Back (Answer)

correlation coefficient (r)

#10
Front (Question)

indicates that both variables increase and decrease together,

Back (Answer)

positive r

#11
Front (Question)

indicates that as one variable increases, the other decreases.

Back (Answer)

negative r

#12
Front (Question)

An r value of ___ indicates no relationship,

Back (Answer)

0

#13
Front (Question)

r = ___ indicates a perfect relationship.

Back (Answer)

1.0

#14
Front (Question)

An alternate approach to visualizing paired data is the difference plot, which is also known as the:

Back (Answer)

Bland-Altman plot

#15
Front (Question)

The difference between test and reference method results is called

Back (Answer)

error

#16
Front (Question)

is present in all measurements and can be either positive or negative, typically a combination of both positive and negative errors on both sides of the assigned target value.

Back (Answer)

Random error

#17
Front (Question)

influences observations consistently in one direction higher or lower

Back (Answer)

Systematic error

#18
Front (Question)

exists when there is a continual difference between the test method and the comparative method values, regardless of the concentration.

Back (Answer)

Constant systematic error

#19
Front (Question)

exists when the differences between the test method and the comparative method values are proportional to the analyte concentration.

Back (Answer)

Proportional error

#20
Front (Question)

TRUE/FALSE: The CLIA final rule requires that waived tests simply follow the manufacturer’s instructions.

Back (Answer)

TRUE

#21
Front (Question)

Systematic error can be due to constant or proportional error and is estimated from three types of study:

Back (Answer)

recovery, interference, and COM

#22
Front (Question)

Ability of a method to detect small quantities or small changes in concentration of an analyte.

Back (Answer)

Analytic sensitivity

#23
Front (Question)

Ability of a method to detect only the analyte it is designed to determine, also known as cross-reactivity.

Back (Answer)

Analytic specificity

#24
Front (Question)

Also known as linear or dynamic range. Range of analyte concentrations that can be directly measured without dilution, concentration, or other pretreatment.

Back (Answer)

AMR (analytic measurement range)