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Related Experiment Video

Updated: Jun 12, 2026

Using Learning Outcome Measures to assess Doctoral Nursing Education

Using Learning Outcome Measures to assess Doctoral Nursing Education

Published on: June 21, 2010

Job embeddedness and nurse retention.

O Ed Reitz¹, Mary Ann Anderson, Pamela D Hill

¹Advanced Midwest Nursing Placement, Hudson, Illinois 61265, USA.

Nursing Administration Quarterly

|June 22, 2010

Summary

Job embeddedness (JE) and age significantly predict nurse retention. Older, more embedded nurses are more likely to stay in their jobs, suggesting JE can inform retention strategies.

Area of Science:

Nursing
Organizational Psychology
Human Resources

Background:

Nurse retention is a critical issue, distinct from turnover.
Job embeddedness (JE) offers a framework for understanding why nurses stay.
Limited research exists on JE in relation to locale and exclusively with registered nurses (RNs).

Purpose of the Study:

To identify factors predicting nurse retention.
To investigate the role of job embeddedness, age, gender, locale, and income in nurse retention.

Main Methods:

Cross-sectional mailed survey design.
Utilized a sample of registered nurses (RNs) in urban and rural settings.
Measured job embeddedness using a standardized instrument and nurse retention via self-reported intent to stay.

Related Experiment Videos

Last Updated: Jun 12, 2026

Using Learning Outcome Measures to assess Doctoral Nursing Education

Using Learning Outcome Measures to assess Doctoral Nursing Education

Published on: June 21, 2010

Main Results:

Achieved a 49.3% response rate.
Job embeddedness (JE) accounted for 24.6% of the variance in nurse retention.
Age was also a significant predictor, accounting for 1.4% of the variance.

Conclusions:

Older, highly embedded RNs demonstrate a greater likelihood of remaining with their current employer.
Job embeddedness shows promise as a foundation for developing effective nurse retention programs.