Access the full text.
Sign up today, get DeepDyve free for 14 days.
Loading next page...
/lp/sage/single-item-reliability-a-replication-and-extension-gKQ0SU02pe
References (12)
-
H. Harman (1961)
Modern factor analysis -
The Ohio State University, psychology, 1997) is a senior consultant with SHL USA, Inc. at its Cleveland Office. The data for this study came from his doctoral dissertation -
J. Wanous, Arnon Reichers (1996)
Estimating the Reliability of a Single-Item MeasurePsychological Reports, 78
-
Vida Scarpello, J. Campbell (1983)
JOB SATISFACTION: ARE ALL THE PARTS THERE?Personnel Psychology, 36
-
C. Rice (1997)
The scientist-practitioner split and the future of psychology.American Psychologist, 52
-
R. Arvey, Timothy Landon, Steven Nutting, Scott Maxwell (1992)
Development of physical ability tests for police officers: a construct validation approach.The Journal of applied psychology, 77 6
-
P. Sackett, J. Larson (1990)
Research strategies and tactics in industrial and organizational psychology. -
(1976)
Multivariate procedures -
J. Wanous, Arnon Reichers, Michael Hudy (1997)
Overall job satisfaction: how good are single-item measures?The Journal of applied psychology, 82 2
-
F. Schmidt, J. Hunter (1989)
Methods of Meta-Analysis -
P. Cranton, Ronald Smith (1990)
Reconsidering the Unit of Analysis: A Model of Student Ratings of Instruction.Journal of Educational Psychology, 82
-
(1989)
Meta-analysis software. Berlin, Germany: Freie Universitat
- Publisher
- SAGE
- Copyright
- Copyright © by SAGE Publications
- ISSN
- 1094-4281
- eISSN
- 1552-7425
- DOI
- 10.1177/109442810144003
- Publisher site
- See Article on Publisher Site
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.
Journal
Organizational Research Methods – SAGE
Published: Oct 1, 2001