Abstract
C. R. Snyder has established hope theory as an important contributor to positive psychology. As the empirical evidence continues
to grow, hope researchers need to have confidence that their measures will produce reliable scores. This study presents a
reliability generalization on both the internal consistency and test–retest reliability estimates from Snyder’s dispositional
hope scale. While over 300 published works were found to have cited the target article 74 present internal consistency scores
and 17 reported scores for test–retest reliability. The results of the reliability generalization suggest support for the
score reliabilities produced by the dispositional hope scale. However, internal consistency was higher for studies using the
eight-item response format (α = 0.82) compared to those using the four-item response format (α = 0.77). Additionally, the
test–retest score reliability was high 0.80 with no statistically significant differences by response format. Findings also
demonstrated that score reliability estimates were not significantly influenced by the coded sample characteristics.
to grow, hope researchers need to have confidence that their measures will produce reliable scores. This study presents a
reliability generalization on both the internal consistency and test–retest reliability estimates from Snyder’s dispositional
hope scale. While over 300 published works were found to have cited the target article 74 present internal consistency scores
and 17 reported scores for test–retest reliability. The results of the reliability generalization suggest support for the
score reliabilities produced by the dispositional hope scale. However, internal consistency was higher for studies using the
eight-item response format (α = 0.82) compared to those using the four-item response format (α = 0.77). Additionally, the
test–retest score reliability was high 0.80 with no statistically significant differences by response format. Findings also
demonstrated that score reliability estimates were not significantly influenced by the coded sample characteristics.
- Content Type Journal Article
- Category Research Paper
- Pages 1-7
- DOI 10.1007/s10902-012-9351-5
- Authors
- Chan M. Hellman, Tulsa Schusterman Center, Department of Human Relations, University of Oklahoma, 4502 East 41st Street, Tulsa, OK 74011, USA
- Megan K. Pittman, Center of Applied Research for Nonprofit Organizations, University of Oklahoma, Tulsa, OK, USA
- Ricky T. Munoz, Anne and Henry Zarrow School of Social Work, University of Oklahoma, Tulsa, OK, USA
- Journal Journal of Happiness Studies
- Online ISSN 1573-7780
- Print ISSN 1389-4978