Related Experiment Video
Updated: Mar 29, 2026

Validation of a Psychosocial Intervention on Body Image in Older People: An Experimental Design
Published on: May 31, 2021
Identifying and Addressing Sources of Measurement Error in the Norbeck Social Support Questionnaire
Eileen Gigliotti1, William Ellery Samuels, June Como
1College of Staten Island, The City University of New York, USA.
Background And Purpose:
The Norbeck Social Support Questionnaire (NSSQ) provides a rich portrait of one's perceived social support including network size/composition and quality of support. Analyses of quantitative research reports and critiques of the NSSQ revealed non-negligible measurement error. We document evidence of measurement error, report potential sources of this error, and present forthcoming psychometric testing.
Methods:
Quantitative evidence of measurement error from the NSSQ literature provided the basis for initial hypotheses concerning sources of error in network nomination and support ratings. We then conducted cognitive interviews to investigate these hypotheses.
Results:
Cognitive interviews revealed evidence of respondents' miscomprehension and response option bias.
Conclusions:
The current nomination process coupled with the lack of a "not applicable" response option and embedded examples in tangible Aid items reduces the accuracy of NSSQ subscores.
Related Concept Videos
Systematic Error: Methodological and Sampling Errors
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
Random and Systematic Errors
Random and Systematic Errors
Uncertainty in Measurement: Accuracy and Precision
Errors and Mistakes in Surveying
Bias
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...

