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30 Cards in this Set

  • Front
  • Back

percision

Consistency, reliability, homogeneity of the data.

accuracy

Based on the precision of the measurements

specificity + sensitivity

accuracy formula

sensitivity

Measures should be sensitive enough to detect differences in acharacteristic that are important to the investigator

specificity



Measures should be specific to the characteristics, group,phenomenon, etc. investigated

reliability

Consistency of the measures.

valditiy



Does a variable represent what it is intended to measure?

systematic errors/biases

1:observer/experimenter


2:subject participant


3:apparatus

blinding, unobtrusive measures, and apparatus calibration

contols for systematic errors & biases

random error

Error due to random fluctuations in participants,experimental conditions, methods of measurement, etc.

- standard deviation


- coffiecient of variation

measures for variability

correlation coefficient

measures for concordance

reliability

Consistent results over repeated measurements.


Refers to the PRECISION of your measures.

1: test-retest


2: alternative/parallel forms


3: internal consistency


4: inter-rater reliablity

reliability assesments

inter-observer consistency

consistency of recording andscoring between ALL OBSERVERS.

intra-observer consistency

each observer, individually, records,interprets or identifies SIMILAR behaviours or events the SAME WAY.

1: construct validity


2: statistical conclusion validity


3: internal validity


4: external validity



4 main types of valditiy

face validity

How well the test appears to measure what it is designed to measure. It is a plausiblemeasure of the variable we want to estimate. Face value. Non-scientific.

content validity

How adequately the measure addresses the representativeness of the measured event orphenomenon. Expert opinion can determine this type of validity.

construct validity

A measure of how well a test assesses some underlying (theoretical) construct orcharacteristic. Depends heavily on the operational definitions, e.g., “stress”

criterion validity

How the assay agrees with others supposed to evaluate the same phenomenon on the samecriterion.

concurrent validity

A measure of how well an assay estimates a criterion/performance in relation toanother (concurrent) phenomenon or group of subjects at the same point in time.

convergent validity

The methods of measurement converge upon one another.

discriminant validity

The methods of measurement diverge upon one another and the divergence is expected.

predictive validity

A measure of how well an assay predicts a phenomenon on a time criterion: e.g., pre/post.Measures predicts future states.

internal validity



asks the question: does the object measure what it is supposed to?

external validity

asks the question: how generizalible is the object?

internal validity

- no confounded variables


- controlled variables


- appropriate control groups


- random asignment


- random selection

- population selection


- operational defintion


- parameter values


- demand characteristics

external validity criterion

ecological validity

asks the question : are experiments done in the lab generalizable to the real world?