The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Single-Item Reliability: A Replication and Extension
Abstract
The reliability of a single-item measure of student-rated college teaching effectiveness was estimated with two different methods and at two levels of analysis. The two methods are the correction for attenuation formula and factor analysis. The two levels of analysis are the group level (10, 682 classes) and the individual level (323, 262 students). Reliability estimates were higher using factor analysis (.88) than the correction for attenuation formula (.64), and they were higher using group-level data (.82) than individual-level data (.70). Based on the assumptions and limitations of each method used, the authors conclude that a minimum estimate of .80 for single-item reliability is reasonable for group-level data. The authors reaffirm a minimum reliability estimate of .70 for individual-level data, as previously concluded by Wanous, Reichers, and Hudy, who estimated single-item reliability for measures of overall job satisfaction using individual-level data.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Estimating the Reliability of a Single-Item Measure
Wanous, J. P., & Reichers, A. E. (1996) · Psychological Reports · doi:10.2466/pr0.1996.78.2.631 · Cited by 380
Self-citation
Cited by
A single-item measure of social identification: reliability, validity, and utility
Postmes, T., Haslam, S. A., & Jans, L. (2013) · British Journal of Social Psychology · doi:10.1111/bjso.12006 · Cited by 1,021
Hope and climate change: the importance of hope for environmental engagement among young people
Ojala, M. (2012) · Environmental Education Research · doi:10.1080/13504622.2011.637157 · Cited by 988
Judge, T. A., & Zapata, C. P. (2015) · Academy of Management Journal · doi:10.5465/amj.2010.0837 · Cited by 738
Generational Differences in Work-Related Attitudes: A Meta-analysis
Costanza, D. P., Badger, J. M., Fraser, R. L., Severt, J. B., & Gade, P. A. (2012) · Journal of Business and Psychology · doi:10.1007/s10869-012-9259-4 · Cited by 623
The causal relation between job attitudes and performance: A meta-analysis of panel studies.
Riketta, M. (2008) · Journal of Applied Psychology · doi:10.1037/0021-9010.93.2.472 · Cited by 547
Searching for the backfire effect: Measurement and design considerations.
Swire-Thompson, B., DeGutis, J., & Lazer, D. (2020) · Journal of Applied Research in Memory and Cognition · doi:10.1016/j.jarmac.2020.06.006 · Cited by 360
(2009) · Cited by 355
The determinants of leadership role occupancy: Genetic and personality factors
Arvey, R. D., Rotundo, M., Johnson, W., Zhang, Z., & McGue, M. (2006) · The Leadership Quarterly · doi:10.1016/j.leaqua.2005.10.009 · Cited by 302
Marketing research using single-item indicators in structural equation models
Petrescu, M. (2013) · Journal of Marketing Analytics · doi:10.1057/jma.2013.7 · Cited by 279
Linking Goal Progress and Subjective Well-Being: A Meta-analysis
Klug, H. J. P., & Maier, G. W. (2015) · Journal of Happiness Studies · doi:10.1007/s10902-013-9493-0 · Cited by 257
Contingencies of Self-Worth and Social-Networking-Site Behavior
Stefanone, M. A., Lackaff, D., & Rosen, D. (2011) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2010.0049 · Cited by 202
Handley, S. M., & Benton, W. C. (2013) · Journal of Operations Management · doi:10.1016/j.jom.2012.12.003 · Cited by 198
Why we like to watch sad films. The pleasure of being moved in aesthetic experiences.
Hanich, J., Wagner, V., Shah, M., Jacobsen, T., & Menninghaus, W. (2014) · Psychology of Aesthetics, Creativity, and the Arts · doi:10.1037/a0035690 · Cited by 194
Jovančević, A., & Milićević, N. (2020) · Personality and Individual Differences · doi:10.1016/j.paid.2020.110216 · Cited by 193
Cohrs, J. C., & Stelzl, M. (2010) · Journal of Social Issues · doi:10.1111/j.1540-4560.2010.01670.x · Cited by 185
Determinants of service quality and continuance intention of online services: The case of eTax
Hu, P. J., Brown, S. A., Thong, J. Y. L., Chan, F. K. Y., & Tam, K. Y. (2009) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.20956 · Cited by 139
Pincus, T., Santos, R., Breen, A., Burton, A. K., & Underwood, M. (2008) · Arthritis Care & Research · doi:10.1002/art.23251 · Cited by 123
Leadership and role stressors as departmental level predictors of workplace bullying.
Hauge, L. J., Einarsen, S., Knardahl, S., Lau, B., Notelaers, G., & Skogstad, A. (2011) · International Journal of Stress Management · doi:10.1037/a0025396 · Cited by 123
Enhancing social relationships through positive psychology activities: a randomised controlled trial
O’Connell, B. H., O’Shea, D., & Gallagher, S. (2016) · The Journal of Positive Psychology · doi:10.1080/17439760.2015.1037860 · Cited by 121
Utz, S., Matzat, U., & Snijders, C. (2009) · International Journal of Electronic Commerce · doi:10.2753/jec1086-4415130304 · Cited by 118
Work–family conflict and self-discrepant time allocation at work.
Dahm, P. C., Glomb, T. M., Manchester, C. F., & Leroy, S. (2015) · Journal of Applied Psychology · doi:10.1037/a0038542 · Cited by 68
Understanding the change-cynicism cycle: The role of HR
Brown, M., Kulik, C. T., Cregan, C., & Metz, I. (2017) · Human Resource Management · doi:10.1002/hrm.21708 · Cited by 63
Nota, J. A., Schubert, J. R., & Coles, M. E. (2016) · Journal of Behavior Therapy and Experimental Psychiatry · doi:10.1016/j.jbtep.2015.04.011 · Cited by 35
Caycho-Rodríguez, T., Tomás, J. M., Ventura- León, J., Carranza Esteban, R. F., Oblitas Guadalupe, L. A., Reyes-Bossio, M., García Cadena, C. H., & Cabrera-Orosco, I. (2021) · Aging & Mental Health · doi:10.1080/13607863.2020.1716685 · Cited by 23
Metadata
- Authors
- Wanous, J. P., & Hudy, M. J.
- Venue
- Organizational Research Methods
- Publisher
- SAGE Publications
- Published
- 2001-10
- Volume
- 4
- Issue
- 4
- Pages
- 361-375
- ISSN
- 1094-4281 (ISSN-L)
- 1552-7425
- OpenAlex
- W1974141381
- Cited by
- 687
- References
- 1
- FWCI
- 7.75
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
