Spearman's rank correlation rho
data: Data$CognitiveReappraisalMean and Data$AutonomyMean
S = 8668.3, p-value = 0.0003586
alternative hypothesis: true rho is not equal to 0
sample estimates:
rho
0.4988283
Spearman's rank correlation rho
data: Data$CognitiveReappraisalMean and Data$EnvironmentalMasteryMean
S = 6241.4, p-value = 1.33e-06
alternative hypothesis: true rho is not equal to 0
sample estimates:
rho
0.6391419
Spearman's rank correlation rho
data: Data$CognitiveReappraisalMean and Data$PersonalGrowthMean
S = 4626, p-value = 3.729e-08
alternative hypothesis: true rho is not equal to 0
sample estimates:
rho
0.7325393
Spearman's rank correlation rho
data: Data$CognitiveReappraisalMean and Data$PositiveRelationsMean
S = 5382, p-value = 2.771e-07
alternative hypothesis: true rho is not equal to 0
sample estimates:
rho
0.6888298
Spearman's rank correlation rho
data: Data$CognitiveReappraisalMean and Data$PurposeinLifeMean
S = 5604, p-value = 4.864e-07
alternative hypothesis: true rho is not equal to 0
sample estimates:
rho
0.6759944
Spearman's rank correlation rho
data: Data$CognitiveReappraisalMean and Data$SelfAcceptanceMean
S = 2522, p-value < 2.2e-16
alternative hypothesis: true rho is not equal to 0
sample estimates:
rho
0.8541859
Spearman's rank correlation rho
data: Data$ProblemSolvingMean and Data$AutonomyMean
S = 6129.7, p-value = 9.588e-07
alternative hypothesis: true rho is not equal to 0
sample estimates:
rho
0.6456004
Spearman's rank correlation rho
data: Data$ProblemSolvingMean and Data$EnvironmentalMasteryMean
S = 9405.9, p-value = 0.00127
alternative hypothesis: true rho is not equal to 0
sample estimates:
rho
0.456183
Spearman's rank correlation rho
data: Data$ProblemSolvingMean and Data$PersonalGrowthMean
S = 8100, p-value = 0.0001516
alternative hypothesis: true rho is not equal to 0
sample estimates:
rho
0.5316836
Spearman's rank correlation rho
data: Data$ProblemSolvingMean and Data$PositiveRelationsMean
S = 9872, p-value = 0.002831
alternative hypothesis: true rho is not equal to 0
sample estimates:
rho
0.4292322
Spearman's rank correlation rho
data: Data$ProblemSolvingMean and Data$PurposeinLifeMean
S = 10246, p-value = 0.00475
alternative hypothesis: true rho is not equal to 0
sample estimates:
rho
0.4076087
Spearman's rank correlation rho
data: Data$ProblemSolvingMean and Data$SelfAcceptanceMean
S = 8190, p-value = 0.0001797
alternative hypothesis: true rho is not equal to 0
sample estimates:
rho
0.5264801
Spearman's rank correlation rho
data: Data$ReligiosityMean and Data$AutonomyMean
S = 7800.4, p-value = 6.442e-05
alternative hypothesis: true rho is not equal to 0
sample estimates:
rho
0.5490063
Spearman's rank correlation rho
data: Data$ReligiosityMean and Data$EnvironmentalMasteryMean
S = 11498, p-value = 0.02126
alternative hypothesis: true rho is not equal to 0
sample estimates:
rho
0.3352127
Spearman's rank correlation rho
data: Data$ReligiosityMean and Data$PersonalGrowthMean
S = 8680, p-value = 0.0004344
alternative hypothesis: true rho is not equal to 0
sample estimates:
rho
0.4981499
Spearman's rank correlation rho
data: Data$ReligiosityMean and Data$PositiveRelationsMean
S = 12048, p-value = 0.03857
alternative hypothesis: true rho is not equal to 0
sample estimates:
rho
0.3034228
Spearman's rank correlation rho
data: Data$ReligiosityMean and Data$PurposeinLifeMean
S = 14106, p-value = 0.2139
alternative hypothesis: true rho is not equal to 0
sample estimates:
rho
0.1844357
Spearman's rank correlation rho
data: Data$ReligiosityMean and Data$SelfAcceptanceMean
S = 8844, p-value = 0.0005747
alternative hypothesis: true rho is not equal to 0
sample estimates:
rho
0.4886679
Spearman's rank correlation rho
data: Data$ToleranceMean and Data$AutonomyMean
S = 8796.4, p-value = 0.000452
alternative hypothesis: true rho is not equal to 0
sample estimates:
rho
0.4914202
Spearman's rank correlation rho
data: Data$ToleranceMean and Data$EnvironmentalMasteryMean
S = 15512, p-value = 0.4902
alternative hypothesis: true rho is not equal to 0
sample estimates:
rho
0.1031601
Spearman's rank correlation rho
data: Data$ToleranceMean and Data$PersonalGrowthMean
S = 11742, p-value = 0.02821
alternative hypothesis: true rho is not equal to 0
sample estimates:
rho
0.3211147
Spearman's rank correlation rho
data: Data$ToleranceMean and Data$PositiveRelationsMean
S = 14996, p-value = 0.3717
alternative hypothesis: true rho is not equal to 0
sample estimates:
rho
0.1329787
Spearman's rank correlation rho
data: Data$ToleranceMean and Data$PurposeinLifeMean
S = 15708, p-value = 0.5382
alternative hypothesis: true rho is not equal to 0
sample estimates:
rho
0.09181314
Spearman's rank correlation rho
data: Data$ToleranceMean and Data$SelfAcceptanceMean
S = 13582, p-value = 0.1469
alternative hypothesis: true rho is not equal to 0
sample estimates:
rho
0.2147317
Spearman's rank correlation rho
data: Data$EmotionalReleaseMean and Data$AutonomyMean
S = 4518.1, p-value = 3.056e-09
alternative hypothesis: true rho is not equal to 0
sample estimates:
rho
0.7387798
Spearman's rank correlation rho
data: Data$EmotionalReleaseMean and Data$EnvironmentalMasteryMean
S = 12194, p-value = 0.04414
alternative hypothesis: true rho is not equal to 0
sample estimates:
rho
0.2949663
Spearman's rank correlation rho
data: Data$EmotionalReleaseMean and Data$PersonalGrowthMean
S = 10912, p-value = 0.01108
alternative hypothesis: true rho is not equal to 0
sample estimates:
rho
0.3691027
Spearman's rank correlation rho
data: Data$EmotionalReleaseMean and Data$PositiveRelationsMean
S = 13630, p-value = 0.1523
alternative hypothesis: true rho is not equal to 0
sample estimates:
rho
0.2119565
Spearman's rank correlation rho
data: Data$EmotionalReleaseMean and Data$PurposeinLifeMean
S = 17626, p-value = 0.8986
alternative hypothesis: true rho is not equal to 0
sample estimates:
rho
-0.01907956
Spearman's rank correlation rho
data: Data$EmotionalReleaseMean and Data$SelfAcceptanceMean
S = 11896, p-value = 0.03308
alternative hypothesis: true rho is not equal to 0
sample estimates:
rho
0.3122109
Spearman's rank correlation rho
data: Data$OveractivityMean and Data$AutonomyMean
S = 4161.7, p-value = 6.114e-10
alternative hypothesis: true rho is not equal to 0
sample estimates:
rho
0.7593834
Spearman's rank correlation rho
data: Data$OveractivityMean and Data$EnvironmentalMasteryMean
S = 14284, p-value = 0.2417
alternative hypothesis: true rho is not equal to 0
sample estimates:
rho
0.1741695
Spearman's rank correlation rho
data: Data$OveractivityMean and Data$PersonalGrowthMean
S = 14566, p-value = 0.2883
alternative hypothesis: true rho is not equal to 0
sample estimates:
rho
0.15784
Spearman's rank correlation rho
data: Data$OveractivityMean and Data$PositiveRelationsMean
S = 16254, p-value = 0.6866
alternative hypothesis: true rho is not equal to 0
sample estimates:
rho
0.06024514
Spearman's rank correlation rho
data: Data$OveractivityMean and Data$PurposeinLifeMean
S = 18424, p-value = 0.6623
alternative hypothesis: true rho is not equal to 0
sample estimates:
rho
-0.06521739
Spearman's rank correlation rho
data: Data$OveractivityMean and Data$SelfAcceptanceMean
S = 15480, p-value = 0.4812
alternative hypothesis: true rho is not equal to 0
sample estimates:
rho
0.1049954
Spearman's rank correlation rho
data: Data$RelaxationMean and Data$AutonomyMean
S = 5598.2, p-value = 1.81e-07
alternative hypothesis: true rho is not equal to 0
sample estimates:
rho
0.6763322
Spearman's rank correlation rho
data: Data$RelaxationMean and Data$EnvironmentalMasteryMean
S = 10438, p-value = 0.005794
alternative hypothesis: true rho is not equal to 0
sample estimates:
rho
0.3965074
Spearman's rank correlation rho
data: Data$RelaxationMean and Data$PersonalGrowthMean
S = 7750, p-value = 7.633e-05
alternative hypothesis: true rho is not equal to 0
sample estimates:
rho
0.5519195
Spearman's rank correlation rho
data: Data$RelaxationMean and Data$PositiveRelationsMean
S = 11106, p-value = 0.01395
alternative hypothesis: true rho is not equal to 0
sample estimates:
rho
0.3578862
Spearman's rank correlation rho
data: Data$RelaxationMean and Data$PurposeinLifeMean
S = 13154, p-value = 0.1049
alternative hypothesis: true rho is not equal to 0
sample estimates:
rho
0.2394773
Spearman's rank correlation rho
data: Data$RelaxationMean and Data$SelfAcceptanceMean
S = 7552, p-value = 5.085e-05
alternative hypothesis: true rho is not equal to 0
sample estimates:
rho
0.5633673
Spearman's rank correlation rho
data: Data$SubstanceUseMean and Data$AutonomyMean
S = 2023.5, p-value < 2.2e-16
alternative hypothesis: true rho is not equal to 0
sample estimates:
rho
0.8830053
Spearman's rank correlation rho
data: Data$SubstanceUseMean and Data$EnvironmentalMasteryMean
S = 13639, p-value = 0.1537
alternative hypothesis: true rho is not equal to 0
sample estimates:
rho
0.2114089
Spearman's rank correlation rho
data: Data$SubstanceUseMean and Data$PersonalGrowthMean
S = 11358, p-value = 0.0186
alternative hypothesis: true rho is not equal to 0
sample estimates:
rho
0.3433164
Spearman's rank correlation rho
data: Data$SubstanceUseMean and Data$PositiveRelationsMean
S = 12572, p-value = 0.06351
alternative hypothesis: true rho is not equal to 0
sample estimates:
rho
0.2731267
Spearman's rank correlation rho
data: Data$SubstanceUseMean and Data$PurposeinLifeMean
S = 16704, p-value = 0.8189
alternative hypothesis: true rho is not equal to 0
sample estimates:
rho
0.03422757
Spearman's rank correlation rho
data: Data$SubstanceUseMean and Data$SelfAcceptanceMean
S = 11722, p-value = 0.02762
alternative hypothesis: true rho is not equal to 0
sample estimates:
rho
0.322271
Hence, there is a significant relationship between coping strategies and psychological well-being of students raised by single parents.
Null Hypothesis: There is no significance difference on the psychological well-being of students raised by single parents when they are grouped according to the variable “# of years”.
Alternative Hypothesis: There is a significance difference on the psychological well-being of students raised by single parents when they are grouped according to the variable “# of years”.
Make two groups of the variable “# of years”. Grouping : Group 1 with 5 to 10 years and Group 2 with 11 to 21 years.
Dat1<-Data%>%
mutate(NumberofYearsCode = ifelse(`# of years` <= 21, "5 to 10 years", "11 to 21 years"))%>%
group_by(NumberofYearsCode)
table(Dat1$NumberofYearsCode)
11 to 21 years 5 to 10 years
22 25
res_aov <- aov(Dat$psychmean ~ Dat1$NumberofYearsCode, var.equal = TRUE)
res_aov
Call:
aov(formula = Dat$psychmean ~ Dat1$NumberofYearsCode, var.equal = TRUE)
Terms:
Dat1$NumberofYearsCode Residuals
Sum of Squares 4.59964 160.77839
Deg. of Freedom 1 45
Residual standard error: 1.890199
Estimated effects may be unbalanced
Shapiro-Wilk normality test
data: res_aov$residuals
W = 0.97686, p-value = 0.4693
Since the p-value is 0.233 which is greater than 0.05, we don’t have enough evidence to reject the null hypothesis. Thus, there is no significant difference on the psychological well-being of students raised by single parents when they are grouped according to the variable “# of years”.
Null Hypothesis: There is no significant difference on the psychological well-being of students raised by single parents when they are grouped according to the variable “# of ears?” (Note: # of years is grouped by this: 5 to 8 years, 9 to 12 years, and 13 to 21 years)**
Alternative Hypothesis: There is a significant difference on the psychological well-being of students raised by single parents when they are grouped according to the variable “# of ears?” (Note: # of years is grouped by this: 5 to 8 years, 9 to 12 years, and 13 to 21 years)**
Make three groups of the variable “# of years”. Grouping : Group 1 with 5 to 8 years, Group 2 with 9 to 12 years, and Group 3 with 13 to 21 years.
Dat2<-Data%>%
mutate(NumberofYearsCode = ifelse(`# of years` <= 8, "5 to 8 years",
ifelse(`# of years` >= 9, "9 to 12 years","13 to 21 years")))%>%
group_by(NumberofYearsCode)
table(Dat2$NumberofYearsCode)
13 to 21 years 5 to 8 years 9 to 12 years
6 38 3
res_aov <- aov(Dat$psychmean ~ Dat2$NumberofYearsCode, var.equal = TRUE)
res_aov
Call:
aov(formula = Dat$psychmean ~ Dat2$NumberofYearsCode, var.equal = TRUE)
Terms:
Dat2$NumberofYearsCode Residuals
Sum of Squares 1.08993 164.28810
Deg. of Freedom 2 44
Residual standard error: 1.93231
Estimated effects may be unbalanced
Shapiro-Wilk normality test
data: res_aov$residuals
W = 0.9752, p-value = 0.4114
Since the p-value is 0.747 which is greater than the 0.05, we don’t have enough evidence to reject the null hypothesis. Thus, there is no significant difference on the psychological well-being of students raised by single parents when they are grouped according to the variable “# of ears?” (Note: # of years is grouped by this: 5 to 8 years, 9 to 12 years, and 13 to 21 years)**
Social Support - Autonomy