Probability and statistics in item analysis and classification problems: Selection of item variables for prediction.

PsycEXTRA Dataset ◽

10.1037/e423382004-001 ◽

1956 ◽

Author(s):

Gustav Elfving

Keyword(s):

Item Analysis ◽

Classification Problems ◽

Probability And Statistics ◽

Download Full-text

Probability and statistics in item analysis and classification problems: Some results on the distribution of the W-classification statistic.

PsycEXTRA Dataset ◽

10.1037/e443182004-001 ◽

1957 ◽

Author(s):

Rosedith Sitgreaves

Keyword(s):

Item Analysis ◽

Classification Problems ◽

Probability And Statistics

Download Full-text

Probability and statistics in item analysis and classification problems: Statistical decision theory approach to item selection for dichotomous test and criterion variables.

PsycEXTRA Dataset ◽

10.1037/e444312004-001 ◽

1957 ◽

Author(s):

Howard Raiffa

Keyword(s):

Decision Theory ◽

Item Analysis ◽

Item Selection ◽

Statistical Decision Theory ◽

Theory Approach ◽

Classification Problems ◽

Statistical Decision ◽

Probability And Statistics ◽

Selection For ◽

Criterion Variables

Download Full-text

Probability and statistics in item analysis and classification problems; a statistical formulation of the attenuation paradox in test theory.

PsycEXTRA Dataset ◽

10.1037/e414902004-001 ◽

1956 ◽

Author(s):

Rosedith Sitgreaves

Keyword(s):

Item Analysis ◽

Test Theory ◽

Classification Problems ◽

Probability And Statistics

Download Full-text

Probability and statistics in item analysis and classification problems: An expansion principle for distribution functions with applications to student's statistic and the onedimensional classification statistic.

PsycEXTRA Dataset ◽

10.1037/e450382004-001 ◽

1957 ◽

Author(s):

Gustav Elfving

Keyword(s):

Item Analysis ◽

Distribution Functions ◽

Classification Problems ◽

Probability And Statistics

Download Full-text

Probability and statistics in item analysis and classification problems: Efficient design and use of tests of mental ability for various decision-making problems.

PsycEXTRA Dataset ◽

10.1037/e458682004-001 ◽

1957 ◽

Author(s):

Allan Birnbaum

Keyword(s):

Decision Making ◽

Item Analysis ◽

Mental Ability ◽

Efficient Design ◽

Classification Problems ◽

Probability And Statistics

Download Full-text

Probability and statistics in item analysis and classification problems: Probability and statistics in psychometric research with special regard to item analysis and classification techniques

PsycEXTRA Dataset ◽

10.1037/e528832009-001 ◽

1956 ◽

Author(s):

Herbert Solomon

Keyword(s):

Item Analysis ◽

Classification Problems ◽

Classification Techniques ◽

Special Regard ◽

Probability And Statistics

Download Full-text

Probability and statistics in item analysis and classification problems: Computation of an empirical sampling distribution for the classification statistic W.

PsycEXTRA Dataset ◽

10.1037/e421882004-001 ◽

1957 ◽

Author(s):

Daniel Teichroew ◽

Rosedith Sitgreaves

Keyword(s):

Item Analysis ◽

Sampling Distribution ◽

Classification Problems ◽

Probability And Statistics

Download Full-text

Probability and statistics in item analysis and classification problems: Optimal test design in a special testing situation.

PsycEXTRA Dataset ◽

10.1037/e447262004-001 ◽

1957 ◽

Author(s):

Rosedith Sitgreaves

Keyword(s):

Item Analysis ◽

Test Design ◽

Classification Problems ◽

Optimal Test ◽

Testing Situation ◽

Probability And Statistics

Download Full-text

Probability and statistics in item analysis and classification problems: Further contributions to the theory of item selection.

PsycEXTRA Dataset ◽

10.1037/e463802004-001 ◽

1957 ◽

Author(s):

Gustav Elfving

Keyword(s):

Item Analysis ◽

Item Selection ◽

Classification Problems ◽

Probability And Statistics

Download Full-text

Probability and statistics in item analysis and classification problems; a non-parametric solution for the k-sample slippage problem.

PsycEXTRA Dataset ◽

10.1037/e419132004-001 ◽

1956 ◽

Author(s):

Edward Paulson

Keyword(s):

Item Analysis ◽

Parametric Solution ◽

Classification Problems ◽

Probability And Statistics ◽

Download Full-text