Basic knowledge of genetics is essential for understanding genetic testing and counseling. The lack of a written, English language, validated, published measure has limited our ability to evaluate genetic knowledge of patients and families. Here, we begin the psychometric analysis of a true/false genetic knowledge measure. The 18-item measure was completed by parents of children with congenital heart defects (CHD) (n = 465) and adolescents and young adults with CHD (age: 15-25, n = 196) with a mean total correct score of 12.6 [standard deviation (SD) = 3.5, range: 0-18]. Utilizing exploratory factor analysis, we determined that one to three correlated factors, or abilities, were captured by our measure. Through confirmatory factor analysis, we determined that the two factor model was the best fit. Although it was necessary to remove two items, the remaining items exhibited adequate psychometric properties in a multidimensional item response theory analysis. Scores for each factor were computed, and a sum-score conversion table was derived. We conclude that this genetic knowledge measure discriminates best at low knowledge levels and is therefore well suited to determine a minimum adequate amount of genetic knowledge. However, further reliability testing and validation in diverse research and clinical settings is needed.
Keywords: factor analysis, statistical; genetic testing; health knowledge, attitudes, and practice; heart defects, congenital; psychometrics.
© 2015 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.