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Reliability of a knowledge of AIDS scale a replication

L Nicholas¹, N Orr, P Daniels

¹Centre for Student Counselling, University of the Western Cape, Bellville, South Africa.

Psychological Reports

|October 1, 1996

Summary

This study compared reliability estimation methods for the Zimet

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Area of Science:

Psychometrics
Psychology
Health Sciences

Background:

Assessing the reliability of measurement instruments is crucial for valid research.
The Zimet's knowledge of AIDS scale is a tool used to measure knowledge about Acquired Immunodeficiency Syndrome.
Different methods exist for estimating the reliability of psychometric scales, each with its own assumptions and applications.

Purpose of the Study:

To evaluate the reliability of the Zimet's knowledge of AIDS scale using various split-half methods.
To compare the effectiveness of content-matched split-half reliability estimation against traditional methods.
To determine the most suitable reliability estimation technique for this specific scale and population.

Main Methods:

Anonymously administered Zimet's knowledge of AIDS scale to 2,209 university students.
Calculated reliability using the odd-even Spearman-Brown split-half method.
Calculated reliability using a content-matched split-half method and Cronbach's alpha coefficient.

Main Results:

The odd-even Spearman-Brown split-half reliability coefficient yielded lower estimates than the other methods.
The content-based split-half coefficient provided higher reliability estimates compared to the odd-even method.
Cronbach's alpha coefficient was comparable in reliability estimates to the content-based Spearman-Brown method.

Conclusions:

Content-matched split-half reliability and Cronbach's alpha are more robust estimators for the Zimet's knowledge of AIDS scale.
The traditional odd-even split-half method may underestimate the true reliability of this scale.
Researchers should consider content-matching or Cronbach's alpha for reliable measurement of AIDS knowledge.

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