Mathematics Anxiety and Mathematics Self-efficacy in Relation to Medication Calculation Performance in Nurses Page: 92
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hypothesis and accepts the alternative hypothesis. With an R2 value of 0.131 adjusted to 0.099,
collectively, the factors of mathematics anxiety and nurse self-efficacy for mathematics
demonstrated a relationship to medication calculation performance.
The correlations among the variables explain that there are relationships but do explain
the portions of the variance in medication calculation performance. Using commonality analysis
as described by Nimon (2010) and Nimon and Reio (2011), a matrix was compiled using a script
file (Nimon, 2010) in SPSS 19.0. The commonality matrix (see Tables 15 and 16) delineates the
percentages that explain the variance of the seven combinations of variables. Mathematics
anxiety alone explains 27% percent of the total effect to medication calculation performance, and
hours worked explained 37%. Negative items on the commonality matrix confound the mix and
some suggest that they should be reported as zero (Tabachnick & Fidell, 2007; Thompson,
2006). The one negative item is small (-2.6196) and does not detract from the analysis.
ANOVA Summary Table
Model Sum of squares df Mean square F Sig.
Regression 60.526 3 20.175 4.031 .010
1 Residual 400.367 80 5.005
Total 460.893 83
Predictors: (Constant), Hrs Worked, MAS, NSE; Dependent Variable: BB Test Score.
Regression Results for Dataset
Predictor R R2 Adjusted R2 3 p Unique Common Total % of R2
.362 .131 .099
MAS -.219 .074 0.0357 0.0364 0.0721
NSE .072 .559 0.0037 0.0467 0.0505
Hrs Worked .225 .038 0.0486 0.0141 0.0627
MAS= Mathematics Anxiety Scale; NSE=Nurse Self-Efficacy for Mathematics
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Melius, Joyce. Mathematics Anxiety and Mathematics Self-efficacy in Relation to Medication Calculation Performance in Nurses, dissertation, May 2012; Denton, Texas. (digital.library.unt.edu/ark:/67531/metadc115119/m1/100/: accessed October 20, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; .