indistinguishable.dyad: Estimating nonindependence in indistinguishable standard...

Description Usage Arguments Details Value Author(s) References See Also

Description

A function for estimating dyadic interdependence in standard dyadic designs with indistinguishable dyad members and interval responses.

Usage

1
   indistinguishable.dyad(dataset, conf.int=0.95)

Arguments

dataset

Original data with dyadic responses.

conf.int

Confidence level in order to estimate the confidence interval for the rho parameter. It is equal to 0.95 by default

Details

indistinguishable.dyad estimates dyadic interdependence for any standard dyadic design in which indistinguishable members and interval data are taken into account.

Value

indistinguishable.dyad returns a list containing the following components:

descriptive.statistics

Summary of some descriptive statistics for the dyadic variables.

intraclass.correlation

ICC coefficient for the original data.

between.dyads.MS

Between dyads mean of sum of squares.

within.dyads.MS

Within dyads mean of sum of squares.

F.statistic

Statistic value for carrying out the statistical test regarding dyadic nonindependence.

df1

Degrees of freedom of the numerator.

df2

Degrees of freedom of the denominator.

two.tailed.p.value

Statistical significance of the t statistic value under the null hypothesis of no dyadic correlation

alpha

Probability of the parameter not included in the interval estimation.

ICC.confidence.interval

Lower and upper bounds of the ICC parameter estimated at 1-alpha confidence level.

Author(s)

David Leiva <dleivaur@ub.edu>, Antonio Solanas <antonio.solanas@ub.edu>, & David A. Kenny <david.kenny@uconn.edu>.

References

Kenny, D. A., Kashy, D. A., & Cook, W. L. (2006). Dyadic data analysis. New York: Guilford Press.

See Also

distinguishable.dyad


DLEIVA/DyaDA documentation built on May 6, 2019, 1:17 p.m.