Statistics
TOTAL
N
|
Valid
|
428
|
| Missing |
0
|
|
Skewness
|
-.118
|
|
Std. Error of Skewness
|
.118
|
|
Kurtosis
|
-1.402
|
|
Std. Error of Kurtosis
|
.235
|
|
Minimum
|
0
|
|
Maximum
|
36
|
|
Frequency
|
Percent
|
Valid Percent
|
Cumulative Percent
|
||
Valid
|
0
|
17
|
4.0
|
4.0
|
4.0
|
| 1 |
19
|
4.4
|
4.4
|
8.4
|
|
| 2 |
25
|
5.8
|
5.8
|
14.3
|
|
| 3 |
9
|
2.1
|
2.1
|
16.4
|
|
| 4 |
11
|
2.6
|
2.6
|
18.9
|
|
| 5 |
11
|
2.6
|
2.6
|
21.5
|
|
| 6 |
10
|
2.3
|
2.3
|
23.8
|
|
| 7 |
9
|
2.1
|
2.1
|
25.9
|
|
| 8 |
6
|
1.4
|
1.4
|
27.3
|
|
| 9 |
7
|
1.6
|
1.6
|
29.0
|
|
| 10 |
8
|
1.9
|
1.9
|
30.8
|
|
| 11 |
13
|
3.0
|
3.0
|
33.9
|
|
| 12 |
12
|
2.8
|
2.8
|
36.7
|
|
| 13 |
15
|
3.5
|
3.5
|
40.2
|
|
| 14 |
8
|
1.9
|
1.9
|
42.1
|
|
| 15 |
8
|
1.9
|
1.9
|
43.9
|
|
| 16 |
9
|
2.1
|
2.1
|
46.0
|
|
| 17 |
4
|
.9
|
.9
|
47.0
|
|
| 18 |
10
|
2.3
|
2.3
|
49.3
|
|
| 19 |
7
|
1.6
|
1.6
|
50.9
|
|
| 20 |
9
|
2.1
|
2.1
|
53.0
|
|
| 21 |
10
|
2.3
|
2.3
|
55.4
|
|
| 22 |
11
|
2.6
|
2.6
|
57.9
|
|
| 23 |
14
|
3.3
|
3.3
|
61.2
|
|
| 24 |
10
|
2.3
|
2.3
|
63.6
|
|
| 25 |
12
|
2.8
|
2.8
|
66.4
|
|
| 26 |
4
|
.9
|
.9
|
67.3
|
|
| 27 |
10
|
2.3
|
2.3
|
69.6
|
|
| 28 |
8
|
1.9
|
1.9
|
71.5
|
|
| 29 |
17
|
4.0
|
4.0
|
75.5
|
|
| 30 |
17
|
4.0
|
4.0
|
79.4
|
|
| 31 |
27
|
6.3
|
6.3
|
85.7
|
|
| 32 |
25
|
5.8
|
5.8
|
91.6
|
|
| 33 |
15
|
3.5
|
3.5
|
95.1
|
|
| 34 |
11
|
2.6
|
2.6
|
97.7
|
|
| 35 |
1
|
.2
|
.2
|
97.9
|
|
| 36 |
9
|
2.1
|
2.1
|
100.0
|
|
| Total |
428
|
100.0
|
100.0
|
||
入院: 共有428筆資料,0-36分各分數比例差不多。
出院: 共有325筆資料,31分以上之資料約總人數之一半。
目前會選擇入院資料分析。
目前會選擇入院資料分析。


還需呈現各項目 response categories 之得分頻率
回覆刪除您可對於所提之Q,提出看法!再跟他人切磋。
回覆刪除1. PASS總分常態分布是否為 Rasch 分析的考量重點?
回覆刪除2. 補充的數值 looks good!
您可逕行 Rasch 分析!
1. 應該不是,主要是每個項目response category都有人(不為0)。
回覆刪除2. 目前會先將手上這筆資料進行Rasch分析。