Descriptive statistics for 2 Year MFQ

Descriptive Statistics

2 year Total Sum

N: 126

  2 year Total Sum
Mean 13.33
Std.Dev. 14.41
Min 0.00
Q1 2.00
Median 9.00
Q3 21.00
Max 92.00
MAD 11.86
IQR 18.75
CV 1.08
Skewness 1.92
SE.Skewness 0.22
Kurtosis 6.00
N.Valid 126.00
% Valid 100.00

Descriptive statistics for Wave 15 MFQ

Descriptive Statistics

Wave 15 Total Sum

N: 230

  Wave 15 Total Sum
Mean 15.37
Std.Dev. 10.05
Min 0.00
Q1 8.00
Median 13.00
Q3 21.00
Max 47.00
MAD 8.90
IQR 13.00
CV 0.65
Skewness 0.81
SE.Skewness 0.16
Kurtosis -0.02
N.Valid 230.00
% Valid 100.00

Is there a correlation between the old and new scores?

## 
##  Pearson's product-moment correlation
## 
## data:  mfq$MFQ_C_Sum and mfq$mfq_total_sum
## t = 6.2455, df = 120, p-value = 6.641e-09
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  0.3481853 0.6185891
## sample estimates:
##       cor 
## 0.4952908
## 
##  Pearson's product-moment correlation
## 
## data:  female$MFQ_C_Sum and female$mfq_total_sum
## t = 5.1128, df = 74, p-value = 2.407e-06
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  0.3226302 0.6603156
## sample estimates:
##       cor 
## 0.5109219
## 
##  Pearson's product-moment correlation
## 
## data:  male$MFQ_C_Sum and male$mfq_total_sum
## t = 3.0771, df = 44, p-value = 0.003589
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  0.1486872 0.6337037
## sample estimates:
##       cor 
## 0.4208211

Is there a significant difference between these two scores?

## 
##  Welch Two Sample t-test
## 
## data:  mfq$MFQ_C_Sum and mfq$mfq_total_sum
## t = 2.2111, df = 232.2, p-value = 0.028
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  0.3554382 6.1691520
## sample estimates:
## mean of x mean of y 
##  16.22951  12.96721
## 
##  Welch Two Sample t-test
## 
## data:  female$MFQ_C_Sum and female$mfq_total_sum
## t = 2.2633, df = 144.7, p-value = 0.02511
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  0.5601982 8.2819071
## sample estimates:
## mean of x mean of y 
##  18.60526  14.18421
## 
##  Welch Two Sample t-test
## 
## data:  male$MFQ_C_Sum and male$mfq_total_sum
## t = 0.64828, df = 79.338, p-value = 0.5187
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -2.790188  5.485840
## sample estimates:
## mean of x mean of y 
##  12.30435  10.95652