Making a Transfer: An Analysis of Qualitative Data Relevant to Transfer Attitudes and Adjustment.
Abstract
This report discusses the results of a longitudinal study of 143 U.S. Air Force Non-Commissioned Officers (NCO's) in which eight predictors relevant to transfer situations were used to develop a predictive model of Permanent Change of Station (PCS) attitudes and adjustment. Data were collected on eight major independent variable categories: (1) similarity of the new and present locations, (2) transfer history, (3) success in adjusting to past transfers, (4) expectations about the transfer prior to actual move, (5) family situation/attitudes, (6) new assignment 'surprise', (7) amount of social support in the new assignment and (8) other relevant variables. Correlational analyses showed moderate to strong relationships between several of the predictors and PCS attitudes and adjustment. Regressional analyses developed from these data were highly predictive of post PCS attitudes and adjustment. Qualitative data collected after the PCS occurred is analyzed and a comparison is made between data collected pre- and post-PCS for those questions which were asked at both times. A more in-depth analysis of the effect of job similarity on transfer adjustment was made. It found that job similarity significantly influenced the time needed to adjust to the job in a transfer situation. The greater the similarity of old to new job, the easier the adjustment to the new job. Keywords: Transfer, Relocation, Mobility, Satisfaction adjustment, and Job learning.
Document Details
- Document Type
- Technical Report
- Publication Date
- May 01, 1985
- Accession Number
- ADA157701
Entities
People
- C. D. Fisher
- J. B. Shaw
- R. W. Woodman
Organizations
- Texas A&M University