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Job Satisfaction Employee Turnover Can Research Proposal

X[sup2]/df = Chi-Squared divided by degrees of freedom and a small resulting value interpreted as a good fit, while a large value is generally seen as indicative of a bad or poor data-model fit. Usually, as a rule of thumb, a cut-off value of 3.00 to 4.00, and even as high as 5.00, is interpreted as indicative as a good data-model fit (Bollen, 1989, p. 278; Hayduk, 1987, p. 168; Mueller, 1996, p. 84).

GFI = Goodness of Fit is a measure of the amount of observed variance/covariance information that can be accounted for by the hypothesized model and values over 0.90 are seen as indicative of a good fit (Byrne, 1998; Jaccard & Wan, 1996).

AGFI = Adjusted Goodness of Fit Index is an adjusted measure of the Goodness of fit Index, which takes into account the degrees of freedom (Byrne, 1998; Joreskog & Sorbom, 1996) and values over 0.90 are seen as indicative of an overall good model fit (Byrne, 1998).

NFI = Normed Fit Index is a normed incremental fit index which compares the tested model to that the independence and values greater than 0.90 are desirable (Byrne, 1994, 1998).

CFI = Comparative Fit Index is an incremental fit index that uses a noncentral chi-square distribution in assessing the fit of the model to the data (Byrne, 1998) and values over 0.90 are seen as indicative of a good model fit (Bentler, 1995).

IFI = Incremental Fit Index compares the tested model with a baseline model (Bollen, 1989) and value over 0.90 are seen as indicating an acceptable model to data fit (Jaccard & Wan, 1996).

SMSR = Standardized Root Mean Square Residual is the average differences between the observed and estimated...

mated correlations (Byrne, 1998) and values of 0.050 and lower indicates a good model fit (Sorborm & Joreskog, 1982).
Table 3 Standardized factor (measurement) coefficients for the latent constructs

Latent construct

Standardized factors

Latent construct and Standardized factor and indicators coefficient/loading indicators coefficient/loading

Task Variety (FTASK)

Autonomy/participation (FAUTO)

Task variety 1 (TASK1)

0.557(FN*)

Autonomy 1 (AUTO1)

0.700(FN*)

Task variety 2 (TASK2)

0.423(FN*)

Autonomy 2 (AUTO2)

0.537(FN*)

Task variety 3 (TASK3)

0.633(FN*)

Autonomy 3 (AUTO3)

0.768(FN*)

Task variety 4 (TASK4)

0.672(FN*)

Autonomy 4 (AUTO4)

0.511(FN*)

Task variety 5 (TASK5)

0.719(FN*)

Autonomy 5 (AUTO5)

0.401(FN*)

Role Conflict (FROLEC)

Relations with coworders (FREL)

Role conflict 1 (ROLEC1)

0.517(FN*)

Relations 1 (REL1)

0.724(FN*)

Role conflict 2 (ROLEC2)

0.495(FN*)

Relations 2 (REL2)

0.330(FN*)

Role conflict 3 (ROLEC3)

0.569(FN*)

Relations 3 (REL3)

0.600(FN*)

Role conflict 4 (ROLEC4)

0.609(FN*)

Relation 4 (REL4)

0.700(FN*)

Job Satisfaction (FJS)

Relations 5 (REL5)

0.771(FN*)

Job…

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