Cronbach Alpha

2. There is a good, positive correlation between the six variables in the HC scale. The Cronbach Alpha is .769. From looking at the Inter-Item Correlation if I delete any variable the Cronbach Alpha will go down so there is no need to delete anything. The SE scale Cronbach Alpha was .686, after looking at the Inter-item Correlation chart all of the variables were positive but there were a few variable that were low. If I was to delete any variable the Cronbach Alpha would decrease. So the Cronbach Alpha is good for this scale. For the PNK scale the Cronbach Alpha was .804 which is relatively high. The values in the inter-item correlation matrix were higher than .2 and .4. Therefore, the Cronbach alpha looks great as to the quality in the inter-item correlation matrix is reliable. The "Cronbach's Alpha if Item Deleted" is blank because there are just two variables and on if I delete one of them there will be no Cronbach alpha. In the CR scale the Cronbach Alpha was .794 which is good but there are only two variable so I looked at the Inter-item correlation and both variable were positive. The Cronbach Alpha for PHB was .791, there were several variable I could delete to increase the Cronbach Alpha such as the “regular dentist visit or always get enough sleep and rest.” I had several variable in the Inter-item Correlation that …show more content…
During the recode of the newly variables into three group based on the three cutpoints, I stop my lower range at .33333 and my stopped my mid-range at .666666. I coded the HC scale lower range 19 and under, mid-range 20-23 and high 24 and above. The SE scale was coded lower 15 and under, mid 16-18 and high 19 and above. I coded PNK lower 5 and under, mid 6-7 and high 8 and above. The CR scale was coded 5 and under for the lowest range, 5.1-7 mid-range, and 8 and above the highest range. PHB scale was coded 23 and below as the lowest range, mid-range 24-27 and highest was 28 and above. Those ranges were coded lowest 0, mid 1 and highest