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YC When I study, listening to classical music interferes with my concentration. 1 = yes, 0 = no
YP When I study, listening to popular music interferes with my concentration. 1 = yes, 0 = no
CLASTST The math test score with classical background music
POPTST The math test score with popular background music
CONTST The math test score with no background music

Tables 3 and 4 show the results of two regression analyses. The results indicated there are no music listening style variables that have any statistically significant effect on the test score difference for either the classical or the popular music listening condition. CONTST has a statistically significant effect on the two dependent variables. This may indicate that people who perform w ell in math also perform well studying math under background music conditions.

Table 3

Regression Analysis for CLASTST Regressed on the Music Listening Style Scores for Classical Music and CONTST

  DR Sum of Squares Mean Square
Regression 6 152.75845 25.45974
Residual 42 123.48645 2.94015
R Square = .55298   F = 8.65932 Sig F<.0001
Variable B SE B Beta t Sig. t
CONTST .694126 .108881 .715638 6.375 .0000
CI -.038022 .022374 -.199713 -1.699 .0966
CC -.007180 .013090 -.077043 -.549 .5862
CP -.002731 .023938 -.018487 -.114 .9097
CE -.008017 .019952 -.077545 -.402 .6899
CA .028530 .023452 .237064 1.217 .2306
(Constant) 4.777199 2.009605    

Table 4

Regression Analysis for POPTST Regressed on the Music Listening Siyle Scores for Popular Music and CONTST

  DF Sum of Squares Mean Square
Regression 6 136.7454 122.79090
Residual 42 163.49948 3.89284
R Square = .45545   F=5.85456 Sig. F = .0002
Variable B SE B Beta t Sig. t
PE .016287 .024909 .146682 .654 .5168
Pi -.001401 .019273 -.008721 -.073 .9424
CONTST .699301 .127056 .691558 5.504 .0000
PC .004390 .016337 .036949 .269 .7895
pp -.026498 .03658.4 -.138622 -.724 .4729
PA -.004486 .027663 -.032442 -.162 .8719
(Constant) 6.972756 4.639115      

A t-test was used to analyze the differences among the test score means for CLASTST, POPTST, and CONTST. Table 5 presents the comparison of math test score means and their corresponding t-tests. The t-test revealed no statistically significant differences among the three testing conditions. One may assume that the presence of either classical or popular background music had no effect on the subjects' math test performance.

Table 5

Comparison of Math Test Score Means

Variable Number of Cases   Standard Deviation Standard Error
CLASTST classical) 62 11.8387 2.681 .340
POPTST (popular) 62 12.0806 2.675 .340
t = -.93 p=.354        
Variable Number of Cases   Standard Deviation Standard Error
CLASTST (classical) 66 11.8485 2.707 .333
CONTST (control) 66 12.0152 2.754 .339
t = -.65 p =.517        
Variable Number of Cases   Standard Deviation Standard Error
POPTST (popular) 64 11.8438 2.779 .347
CONTST (control) 64 11.9375 2.822 .353
t = -.33 p =.742        

Table 6 presents the results of the post-hoc procedure where the variables YC ("When I study, listening to classical music interferes with my concentration") and YP ("When I study, listening to popular music interferes with my concentration") were coded 1 for a yes and 0 for a no response. 33% of the respondents indicated that classical music interferes with their studying, while 43% of the subjects indicated that popular music interferes with their studying. The variables CLASTST and POPTST were then regressed on YC and YP respectively, Controlling for CONTST . The variables YC and YP also had no statistically significant effect on, or correlation with, CLASTST and POPTST respectively. Also, the various independent variables were tested for interactions and curvilinearity, revealing no statistically significant results as illustrated in Table 7.

Table 6

Post Hoc Results of the Effects of Students' Preferences for Study with Music on Math Test Scores

Dependent Variable = POPTST
  DF Sum of Squares Mean Square
Regression 2 136.36675 68.18338
Residual 46 163.87814 3.56257
R Square = .45419   F = 19.13883 Sig F <.0001
Variable B SE B Beta t Sig. t
YP -.451287 .545324 .090680 -.828 .4122
CONTST .665412 .110802 .658044 6.005 .0000
(Constant) 4.300081 1.469611      
Dependent Variable = CLASTST
  DF Sum of Squares Mean S!guare
Regression 2 135.04316 67.52158
Residual 46 165.20174 3.59134
R Square = .44978   F =18.80121 Sig F <.0001
Variable B SE B Beta t Sio@'. t
YC .330808 .593371 .061592 .558 .5799
CONTST .666549 .111715 .659168 5.967 .0000
(Constant) 3.981855 1.420960      

Table 7

Correlation Coefficients of Classical and Popular Music Listening Styles

CLASTST 1.0              
CA -.09 1.0            
CC -.08 .59 1.0          
CP -.09 .73 .50* 1.0        
CT -.14 .35 .19 .20 1.0      
CE -.11 .77 .59* .78* .27* 1.0    
YC .16 .08 -.01 -.15 -.02 -.21 1.0  
CONTST .71 .20 -.18 -.10 -.10 -.13 .07 1.0
CLASTST CONTST CA CC CP CI CE YC  
POPST 1.0              
PA -.12 1.0            
PC -.04 .36 1.0          
PP -.01 .66 .46* 1.0        
PI -.09 -.05 -.03 .01 1.0      
PE -.06 .77 .45 .75* -.07 1.0    
YP -.18 -.02 .27 -.02 .16 -.17 1.0  
CONTST .67 -.13 -.04 .01 -.11 -.10 -.11 1.0
POPT ST CONTST PA PC PP PI PE YP  

p <.05

 

Conclusions and Discussion

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