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Table 3 Item means and factor loadings for job satisfaction

From: Determinants of staff job satisfaction of caregivers in two nursing homes in Pennsylvania

   

Factor Loadings

Items (Original JDI domain)

Item Mean (SD)^

Rank+

Pay (Positive)

Management (Negative)

Work (Positive)

Positively Worded Items:

     

   After a day's work, I really feel like I have accomplished something (w)

5.39 (1.58)

1

  

0.54

   Working for this Facility is like being part of a family (w)

4.13 (1.96)

6

  

0.58

   I am paid fairly for the work I do (c)

3.31 (2.01)

11

0.70

  

   Salary and wage increases are given to those who do a good job (c)

2.80 (1.91)

13

0.52

  

   My pay is better than that for similar jobs in other nursing homes (c)

3.15 (1.83)

12

0.63

  

   My chances for getting ahead in this facility are good (p)

3.85 (1.90)

7

  

0.44

   The people I work with are stimulating (cw)

4.25 (1.63)

5

  

0.48

Negatively Worded Items:

     

   I just hate to get up in the morning to go to work (w)

3.49 (1.90)

3

  

-0.31

   I am in a "dead end" job (p)

3.60 (1.98)

4

  

-0.40

   My opportunities for getting promoted in this facility are somewhat limited (p)

4.50 (1.87)

9

 

0.33

 

   The people I work with are unpleasant (cw)

3.30 (1.90)

2

  

-0.39

   Management is quick to criticize poor performance (m)

4.63 (2.01)

10

 

0.65

 

   Management is hard to please (m)

4.35 (1.89)

8

 

0.67

 
  1. Note: Principal components with varimax rotation. Original domains: w = work; c = compensation; p = promotion; cw = co-workers; m = management. Eigenvalues for Pay = 2.83, Management = 1.81, and Work = 1.75; Cronbach's Alpha for comparable unit-weighted scales: Pay = .60; Management = .71; Work = .70; JDI = Job Descriptive Index; n = 574; ^ = Response items were coded 1 (strongly disagree), 2 (somewhat disagee), 3 (disagree), 4 (neither agree nor disagree), 5 (somewhat agree), 6 (agree) and 7 (strongly agree); + No reverse coding was used for the EFA, however, the rank was computed by reverse coding negatively worded items and listing from highest score (listed as number 1) to lowest score (listed as number 13).