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. . . mattering serves as an appropriate lens with which to begin
addressing the relational component of the RA job when
targeting burnout experienced by RAs, most notably in the areas
of depersonalization and personal accomplishment.
design yields some limitations, as the study controlled for neither RA performance nor
institutional calendar and workload fluctuations existing in the RA position. Factors
such as these may skew an RA's perception of mattering or burnout.
RESULTS
Descriptive Analyses
The descriptive statistics revealed that nearly two-thirds of the participants were
female (63.8%) and most of them were White (80.5%). Those who selected more than
one racial or ethnic category were coded as multiracial, accounting for 6.0% of the
sample. The majority of the sample (84.3%) worked in residence halls, while their
apartment RA counterparts made up the remaining 15.7%. The sample was almost
equally distributed among sophomore (32.0%), junior (38.6%), and senior (28.1%)
classifications. A majority of RAs worked in communities comprising mostly first-year
students (67.3%), with the remaining RAs roughly split between communities comprising
mostly upper-division students (14.4%) and a balanced mix of first-year and
upper-division (18.3%). All demographics are further detailed in Table 1 (see page 102).
Multiple Linear Regression Analyses
Three separate sequential multiple regression analyses were conducted to determine
if adding the total mattering composite score improved the prediction for each burnout
dimension above and beyond RA demographics (gender, race, and classification)
and work characteristics (number of residents and area of employment). Linearity
was established for each model by visual inspection of a scatterplot of each dimension
against the total mattering composite score. For each model, the variance inflation
factor (VIF) was examined to test the multicollinearity of the independent variables.
All the VIF values were below 1.7, indicating that the levels of correlation were acceptable
(Allison, 1999). The Durbin-Watson test statistics indicated that the assumption
of independency of residuals for all three models was satisfied as the values were close
to 2.0, which suggests that the residuals are uncorrelated (Durbin & Watson, 1951).
Table 2 (see page 103) reports the full statistics for each dimension's regression model.
Demographic and Work Characteristics Predicting Burnout
When examining the relationship between the independent variables and emotional
exhaustion, the first model revealed that only " Classification Sophomore " significantly
contributed to the prediction of emotional exhaustion (β = -02.04, p < .05), but overall
the emotional exhaustion model was not a good fit for the data, F(6, 139) = 1.211, p = .304.
Likewise, the model predicting depersonalization was not a good fit, F(6, 141) = 0.962,
p = .453, with none of the demographic and work characteristics serving as significant
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Table of Contents for the Digital Edition of Journal of College & University Student Housing Volume 48, No. 2

Journal of College & University Student Housing Volume 48, No. 2 - intro
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