Explaining the Weak Relationship Between Job Performance and Ratings of Job Performance
By Kevin J. Murphy. Industrial and Organizational Psychology, 2008
207 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/6aea11c61b32da4e93bfdef22ac8c35fe0e5ad14
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Herman Aguinis
- Jason D. Shaw
- John P. Campbell
- Kevin J. Murphy
- Robert P. Hogan
- Wayne F. Cascio
- R. Kaiser
- Tomas Chamorro-Premuzic
Citations in the corpus
- Getting Rid of Performance Ratings: Genius or Folly? A Debate (2016, background): “…was that rating scales probably do not have a large effect on the quality of rating data, perhaps amore important conclusion was that there are a number of variables other than job performance that have a clear influence on performance ratings (see also Murphy, 2008; Scullen, Mount, & Judge, 2003).”
- The Modeling and Assessment of Work Performance (2015, background): “Murphy (2008) and Murphy &DeShon (2000) argue that they do not, and these authors call the construct validity of ratings into question.”
- Perceived investment in employee development, intrinsic motivation and work performance (2009, methodology): “Furthermore, whereas performance ratings by supervisors help rule out the validity threats of self-report and the mono-method, performance appraisal research suggests that performance ratings conducted by supervisors may be even more biased than self-report measures (Levy and Williams, 2004; Murphy,”
- 3 Staffing Twenty‐first‐century Organizations (2008, background): “In the context of performance appraisal, Murphy ( 2008 ) notes the weak relationship between job performance and performance ratings, and argues for more widespread use of multi‐factor models that place a premium on a careful analysis of the context within which performance is observed and ratings a”
- Do Team and Individual Debriefs Enhance Performance? A Meta-Analysis (2013, background): “Second, although statistically straightforward, applying a correction to interrater reliabilities of supervisor ratings is conceptually problematic because it assumes that any disagreement is attributable to error and not to different perspectives on performance (Murphy, 2008).”
- Let the evidence speak again! Financial incentives are more effective than we thought (2015, background): “As an example, Park and Shaw’s (2013) meta-analysis of the relationship between turnover rates and organisational performance revealed a stable, moderate-in-magnitude, literature-level correlation between these variables.”
- Employability and Career Success: Bridging the Gap Between Theory and Reality (2013, background): “Our experience is consistent with the research literature (see Murphy, 2008) and suggests that these decisions are typically less rational than one might hope.”