Effect of Rancher’s Management Philosophy, Grazing Practices, and Personal Characteristics on Sustainability Indices for North Central Texas Rangeland Page: 76
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Multiple regression analysis was employed to account for the variance in the derived
sustainability indexes (sections 2, 4 and 5) based on predictors which were indicative of
respondents land philosophy, land management, or personal characteristics (sections 1, 3, and 6).
The goal is to gain insight concerning the amount of variance explained by the independent
variables identified through BMA, which is the most appropriate model for comparison and
model fit statistics (Schwarz, 1978).
In order to minimize predictors being selected purely by chance, hierarchical regression
analysis, a specific form of ordinary least squares, multiple regression analysis, was chosen as a
means of relating management philosophy, native rangeland management, and personal
characteristics to the sustainability indexes of economic considerations, land health, and quality
of life. Hierarchical regression predictors are entered into the analysis one block at a time, with
the researcher, not the computer, determines the order of entry of the variables. F-tests are used
to compute the significance of each added variable (or set of variables) to the explanation
reflected in R-square. The order they are entered should be selected based on past work (Field,
2005). Known predictors should be entered first, also known as covariates; followed by new
predictors, together or one at a time. Distinction between a covariate and a predictor is often
simply a matter of semantics (Starkweather, 2011 c). The reason for the use of hierarchical
regression and the use of predictor entry in blocks is that this method isolates the effects caused
by specific variables in terms of both the predictive model and the relative contribution of
variables in each block. Essentially, variables that are conceptually linked to each other were
entered together in a block. Those variables which literature identified as most important were
entered first, while those which were more abstract concerning their role as a predictor, were
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Becker, Wayne. Effect of Rancher’s Management Philosophy, Grazing Practices, and Personal Characteristics on Sustainability Indices for North Central Texas Rangeland, dissertation, December 2011; Denton, Texas. (digital.library.unt.edu/ark:/67531/metadc103289/m1/87/: accessed September 20, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; .