THE VALIDITY OF THE WEIGHTED APPLICATION BLANK AS A PREDICTOR OF TENURE IN THE NURSING HOME INDUSTRY: A TEST OF TWO MODELS (EMPLOYEE SELECTION, TURNOVER).
Contributors: University of North Texas.
Published: 1993
Number of pages: 177
Subjects: Business Administration, Management.; Health Sciences, Health Care Management.; Sociology, Industrial and Labor Relations.
Description: High levels of turnover in the nursing home industry have a serious negative impact on administrators and residents alike. While a constant influx of new employees places increased demands on administrators' ability to maintain cost and quality control, the negative implications to the residents can be more far-reaching. Research supports this contention, indicating that turnover has a negative effect on residents' realization of high quality care, as well as their ability to develop adequate interpersonal relations. Nonetheless, estimates indicate annual turnover rates as high as 75 percent for registered nurses and 400 percent for nursing assistants, with average annual rates in excess of 55 percent and 145 percent, respectively.

There were two purposes of this study. The first purpose was to develop and validate a quantitative selection tool, the weighted application blank, tailored to the nursing home industry. The second purpose of this study was to determine whether data scaling and increased statistical rigor can reduce the frequency of type I and type II errors in the weighted application.

The target population was a nursing home chain within the four-state region of Iowa, Kansas, Missouri, and Nebraska. A sample of 288 applications was randomly selected, with 142 from long-tenured employees (employed six months or longer) and 146 from short-tenured employees (employed three months or less).

The test conducted with respect to Hypothesis 1 indicated that the weighted application is significantly better at predicting tenure than the corporation's currently used strategy. Respective of Hypothesis 2, the McNemar test revealed no difference existed between the predictive accuracy of the weighted application developed using the chi-square and discriminant method and the weighted application developed using the Mann-Whitney U and regression method.
Notes: Source: Dissertation Abstracts International, Volume: 54-05, Section: A, page: 1870.

Thesis (PH.D.)--UNIVERSITY OF NORTH TEXAS, 1993.

School code: 0158.