block.SRM.between.groups.tTest: Testing SRM effects in block designs by means of a...

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

Description

A function for testing SRM effects in block designs by means of a between-group t Test.

Usage

1
   block.SRM.between.groups.tTest(X, subgroup1, subgroup2, numb.times, numb.groups, names1=NULL, names2=NULL, subgroups=NULL, times=NULL, groups=NULL)

Arguments

X

Original block sociomatrix.

subgroup1

Number of individuals of the first subgroup of the block data.

subgroup2

Number of individuals of the second subgroup of the block data.

numb.times

Number of occasions in which the dyads are analyzed.

numb.groups

Number of groups in the block data.

names1

(optional) Character array with the names of individuals in the first subgroup.

names2

(optional) Character array with the names of individuals in the second subgroup.

subgroups

(optional) Character array with the names of the subgroups.

times

(optional) Character array with the names of the occasions of data collection.

groups

(optional) Character array with the names of groups in the block data.

Details

block.SRM.between.groups.tTest estimates statistical significance for the variance and covariance components obtained for a SRM block design.

Value

block.SRM.between.groups.tTest returns a list containing the following components:

t.statistic

t statistic for each variance component of the SRM block data.

df

Degrees of freedom for the statistical test.

two.tailed.p.value

Statistical significance for the variance components of the SRM block data.

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

block.SRM.variances


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