Refining Lodahl and Kejner’s Job Involvement Scale with a Convergent Evidence Approach: Applying Multiple Methods to Multiple Samples
By C. Reeve, Carlla S. Smith. 2001
87 citations recorded by the source corpus.
Subfields: Gender Studies, Organizational Behavior and Human Resource Management, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/bcd30eb232c92f07940520829dc19a9710945d16
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Gender Studies
In Organizational Behavior and Human Resource Management
- Joseph A. Allen
- Andrew Li
- J. Bagger
- Benjamin E. Baran
- Zhi Wei Ho
- Christiane Spitzmüller
- Mindy E. Bergman
- J. Reb
In Sociology and Political Science
- Joseph A. Allen
- Andrew Li
- J. Bagger
- Benjamin E. Baran
- Zhi Wei Ho
- Christiane Spitzmüller
- Mindy E. Bergman
- J. Reb
Citations in the corpus
- Leader Mindfulness and Employee Performance: A Sequential Mediation Model of LMX Quality, Interpersonal Justice, and Employee Stress (2018, unknown): “This is a commonly used method and several studies suggest that data quality using this method is comparable to using more traditional procedures (e.g., Hazer and Highhouse 1997; Reeve and Smith 2001).”
- Shouldering a silent burden: The toll of dirty tasks (2012, methodology): “We used the nine items from Lodahl and Kejner’s (1965) 20-item measure of job involvement that Reeve and Smith (2001) identified as having superior item statistics.”
- How Does Supervisory Family Support Influence Employees’ Attitudes and Behaviors? A Social Exchange Perspective (2014, methodology): “This data collection procedure has been employed extensively in different literatures, including studies investigating work– family issues (e.g., Casper & Harris, 2008; Reeve & Smith, 2000; Smith, Tisak, Hahn, & Schmieder, 1997; Smith, Tisak, & Schmieder, 1993).”
- Mindfulness at Work: Antecedents and Consequences of Employee Awareness and Absent-mindedness (2013, methodology): “This is a commonly used method, and several studies suggest that data quality using this method is comparable to using more traditional procedures (e.g., Hazer and Highhouse 1997; Reeve and Smith 2001).”