IQ Final Test Construction and Evaluation

Test Manuals

Documents that provide information on the purpose, standardization, administration rules, scoring, and norms of a specific test.

Reliability

The degree to which a measure is consistent.

Test-Retest Reliability

The consistency of a test's results when measured repeatedly in the same group of people.

Internal Consistency

How well individual items of a test measure the same construct; often measured using Cronbach’s alpha.

Inter-Rater Reliability

The level of agreement among different raters or psychologists observing the same phenomenon.

Correlation

A statistical measure that indicates the extent to which two variables fluctuate together, used to measure reliability.

Face Validity

The extent to which a test appears to measure what it is intended to measure, at face value.

Incremental Validity

The extent to which a test adds to the predictive ability of an overall assessment in conjunction with other tests.

Construct Validity

The degree to which a test measures the theoretical construct it claims to measure.

Content Validity

The extent to which test items represent all aspects of the concept being measured.

Criterion Validity

How well test results correlate with an established external standard or outcome.

Concurrent Validity

Measures how well a test correlates with another established measure of the same construct at the same time.

Predictive Validity

Assesses how well a test predicts future performance related to a criterion.

Sensitivity

A test's ability to identify the presence of a condition, yielding true positive results.

Specificity

A test's ability to identify the absence of a condition, yielding true negative results.

Validity Scale

A scale used in psychological measures to assess the reliability of responses.

Bell Curve

A graph representing a normal distribution, showing that most values cluster around the mean.

Standard Deviation

A measure of the amount of variation or dispersion in a set of values.

Normal Distribution

A type of statistical data where values are symmetrically distributed around a mean.

68-95-99.7 Rule

A statistical rule stating that about 68% of data falls within one standard deviation, 95% within two, and 99.7% within three standard deviations of the mean.

Standard Error

An estimate of the variability between sample means that would be expected if sampling were repeated.