Mathematics Anxiety and Mathematics Self-efficacy in Relation to Medication Calculation Performance in Nurses Page: 91
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significant degree with medication calculations (r = .250, p = .011) and nurse self-efficacy for
mathematics (r = .185, p =.046) but not with mathematics anxiety (r = -.057, p = .303). The
relationship is not as strong with nurse self-efficacy as with the medication calculation
performance. (See Figure 8)
Hypotheses 4, 5, and 6 cannot be tested because the sample failed to yield enough LVNs
to sufficiently analyze the data.
Hypothesis 4. RNs will perform significantly better on a medication calculation test than
Hypothesis 5. RNs will have less mathematics anxiety than LVNs.
Hypothesis 6. RNs will have more nurse self-efficacy for mathematics than LVNs.
Mathematic anxiety H1 r=-.269 p=.007
H3 r=-.506 p=<.001
HH2 r= .22 =.02
Mathematic self-efficacy Medication calculation
H6 na H4 na
Type of nurse
Figure 9. Schematic model of relationships with regression values.
Assessing multiple variables simultaneously indicates the use of multiple regression
techniques. The ANOVA summary table (see Table 14) is the output that the SPSS software
generates to use in evaluation of the regression indicators of equality of means (Tabachnick, &
Fidell, 2007). The regression coefficients and confidence intervals are listed in Table 15. and
analyze the three variables on medication calculation performance. The F value (4.031, df= 3,
80) yielded a statistically significantly result at alpha < .05 (0.010), thus rejects the null
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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/m1/99/: accessed September 21, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; .