model between
represents factors
causal
relationships statistical
Structures (AMOS) v.18 software while the Statistical Package for the Social Sciences (SPSS) v. 16 was used to perform description and reliability analysis.
under
defined
parameters. Data and Findings Primary data were gathered by the BEI Survey of BMETs’ professional perception of organizational factors (Structural Complexity), process factors (Process Adequacy), Level of Quality and control variables that characterizes the study population. The final national sample represented a total of N=317 BMETs in 46 states and the District of Columbia (Table1).
The SEM model (Figure 3), goodness of fit statistics (Table 2), and consequent data analysis supported the study hypotheses statements relationships indicating between strong, positive as constructs
statistically significant (2-tailed) with normal distribution (Table 3). Translation of these findings into equation form as follows: Level of Quality = ?0 + .889 Structural
The survey instrument was developed using Dillman's Tailored Design Methods and study constructs and the complete data model was successfully validated for reliability. A majority of respondents reported 5+ years of experience working at large, non-profit, urban facilities accredited by The Joint Commission across five regions in the United States. The effect of structural complexity and process adequacy was analyzed by confirmatory factor analysis modeling (CFA) (SEM) and structural the equation theoretical under
Complexity + .563 Process Adequacy + ?i As you can see, SEM uses an algebraic representation of the data relationships between the multiple predictor variables (Xn) and the endogenous variable (Y) and allows for any differences in the actual versus predicted results by introducing a residual error term (?). The generic form of the multiple linear regressions calculated through statistical software is as follows: Yi = ?0 + ?1X1 + ?2X2 … + ?nXn + ?i where Y = the endogenous (dependent) variable;
framework of Donabedian's Structure-ProcessOutcome model. CFA and SEM modeling was conducted utilizing Analysis of Moment