UNC Chapel Hill School of Nursing

George J. Knafl, Ph.D.

Computing Composite Reliability and Construct Validity Coefficients for Family Data

This work has been supported in part by a grant from the National Institute of Allergy and Infectious Diseases (Grant # R01 AI57043) and by a grant from the National Institute of Nursing Research (Grant # R01 NR08048).

Details for unpublished manuscript (available upon request from gknafl@unc.edu).

Reference:
Knafl GJ, Dixon JK, Grey M, O'Malley JP, Knafl KA. Reliability and Construct Validity Coefficients Adjusted for Correlation within Family Dyads.
PDF copy of the abstract for the paper: reliability.abstract.pdf.
PDF copy of the paper: reliability.paper.pdf.

Materials related to analyses demonstrating the use of the macros, including data, SAS code, and selected output.

See documentation in the code for details. Use of the code is limited as indicated in the documentation for the code. For permission for other uses, contact gknafl@unc.edu. All rights reserved. No warranties granted, explicit or implicit. Requires Base SAS, SAS/STAT, and PROC IML.

Permanent SAS data set for conducting analyses demonstrating the use of the macros: example.sas7bdat.

SAS macros for computing composite reliability and construct validity coefficients: reliability.20101001.sas.

SAS macro for imputing item values: impute.20101001.sas.

SAS code for conducting analyses demonstrating the use of the macros: example.analyses.sas.

PDF copy of output for analyses demonstrating the use of the macros: example.results.pdf.