Mathematics Anxiety and Mathematics Self-efficacy in Relation to Medication Calculation Performance in Nurses Page: 66
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private suburban, nonprofit, Joint Commission-accredited, acute care hospital with 213 licensed
beds. The hospital has approximately 324 RNs, 97 LVNs, but many are per diem and work only
occasionally, so the full-time equivalent (FTEs) of 264 was the base for sampling.
As suggested by Hinkle, Wiersma, and Jurs (1998) the alpha was set a priori to 0.05
using one-tailed directionality. The effect size expected was 0.30 based on reported effect sizes
of similar research reported by Coe (2002). The effect size in this research was not an
implication of causality but an implication of the strength of the effect on the relationships (Coe,
2002; Tabachnick & Fidell, 2007). A minimum sample size of 51 was calculated apriori using
G*Power3.1.2 software based on a medium a priori effect size of 0.3, a of 0.05, power of 0.95
(Faul, Erdfelder, Lang, & Buchner, 2007), with three predictor variables and one-tailed
directionality (see Figure 5. G*Power3.1.2 output).
[1 ] -- Monday, December 26, 2011 -- 08.34.33
Exact - Linear multiple regression: Random model
Options: Exact distribution
Analysis: A priori: Compute required sample size
Input: Tail(s) = One
H1 p2 = 0.2872846
HO p2 = 0
o( err prob = 0.05
Power (1 -3 err prob) = 0.95
Number of predictors = 3
Output: Lower critical R2 = 0.1 51 7327
Upper critical R2 = 0.1 51 7327
Total sample size = 51
Actual power = 0.9502368
Figure 5. G*Power3.1.2 output.
Three instruments were used in this study. The first instrument is a 14-item tool, the
Mathematics Anxiety Scale (MAS), used to measure mathematics anxiety (Bai et al., 2009). The
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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/m1/74/: accessed August 16, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; .