feldt | R Documentation |

Feldt's classical congeneric reliability (Feldt & Brennan 1989) is a unidimensional reliability coefficient based on a congeneric model. The congeneric model is a model that allows the length, discrimination, or importance of items to be different, and is the least restrictive model among the models derived from the classical test theory. The congeneric reliability proposed by Joreskog (1971) uses an optimization technique called maximum likelihood to estimate the "length" of an item. Classical congeneric reliablity uses a simpler logic, using the ratio of the sum of the covariance of the item to the sum of the total covariance as an estimate of the length of the item (Cho 2016).This coefficient is slightly less accurate than the Gilmer-Fedlt coefficient or congeneric reliability (Cho in press).

feldt(x)

`x` |
a dataframe or a matrix (unidimensional) |

classical congeneric reliability coefficient

Cho, E. (2016). Making reliability reliable: A systematic approach to reliability coefficients. Organizational Research Methods, 19(4), 651–682.

Cho, E. (in press). Neither Cronbach's alpha nor McDonald's omega: A comment on Sijtsma and Pfadt. Psychometrika.

Feldt, L. S., & Brennan, R. L. (1989). Reliability. In R. L. Linn (Ed.), Educational measurement (3rd ed., pp. 105–146). American Council on Education and Macmillan.

Jöreskog, K. G. (1971). Statistical analysis of sets of congeneric tests. Psychometrika, 36(2), 109–133.

[gilmer()] for the Gilmer-Fedlt coefficient

[joreskog()] for congeneric (unidimensional CFA) reliability

feldt(Graham1)

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