How to calculate critical weight indicators?

One 、 application

CRITIC Weight method is an objective weight method . The idea is to use it for two indicators , They are contrast intensity and conflict index . The contrast intensity is expressed by the standard deviation , The larger the standard deviation of the data, the greater the fluctuation , The higher the weight ; Conflict is expressed by correlation coefficient , If the correlation coefficient between the indicators is larger , Explain that the less conflict , Then its weight will be lower . Weight calculation , The contrast intensity is multiplied by the conflict index , And normalized , That is, the final weight .

Two 、 operation

SPSSAU operation

（1） Click on SPSSAU Comprehensive evaluation ‘CRITIC The weight ’ Button . Here's the picture

（2） Drag and drop the data and click start analysis

3、 ... and 、 Data processing

In this example, the data is first processed in the forward or reverse direction ,（ front 5 Indicators are positive indicators for forward processing ,X6 The average length of stay of discharged patients was a reverse index , Reverse processing ）, Use the generate variable function to complete .

Four 、 Case study

The research was collected from a hospital in Hunan Province 2011 year 5 Data of departments , share 6 Indicators , At present, we hope to analyze the weight of each index through the existing data , It is convenient for the hospital to set the weight of each index for subsequent comprehensive evaluation , It is used for comprehensive comparison of various departments, etc . The data are as follows ：

5、 ... and 、 result

SPSSAU The resulting analysis results are as follows ：

1. CRITIC Weight calculation results

（1） Index variability

Index variability is measured using standard deviation , The larger the standard deviation, the greater the weight ;

（2） The amount of information

The product of indicator variability and conflicting indicators

example ：0.391×1.003=0.392;

（3） The weight

The final weight is calculated by summing and normalizing the information .

 

example :0.392/(0.392+0.379+0.395+1.562+0.452+0.367)=0.1105

2. Describe statistics

6、 ... and 、 summary

As can be seen from the table above , Finally, the indicator of average bed utilization rate has a high information carrying capacity in terms of conflict , Explain this indicator and the rest 5 The overlap of indicators is low , The final weight of this indicator is the highest 44.04%, The second is the number of hospital bed turnover , The weight of this indicator is 12.75%, rest 4 The weights of the indicators are basically the same .