Description Usage Arguments Author(s) See Also Examples
This function can score multiple choice item responses. This function can also call and return results from function reliability.
1 2 |
items |
The item responses to be scored |
key |
The answer key |
output.scored |
If output.scored=FALSE (the default) only a vector of scores is returned. If output.scored=TRUE a matrix containing scored items is returned. |
ID |
If respondent IDs are provided scores are labeled appropriately. |
rel |
If rel=TRUE, the function will call the function reliability and provide that output as well. |
multiKeySep |
If a value other than "none" is provided (e.g., ","), the key and the raw items will be reviewed for the provided delimiter. Using this otion allows for multiple correct responses. |
multiKeyScore |
The first value controls how multiple keys are handled. If "or" any correct response results in score of 1. If "and" all responses must be correct. If the second value is "poly" the returned score is the sum of correct responses. If the second value is "dich" a maximum score of 1 is returned. If the respondent can only provide one response, use "or". If the responded can provide multiple responses and you use c("and", "poly") the score will be 0 or max score. |
John T. Willse
reliability
1 2 3 4 5 6 7 8 9 |
$score
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12 P13 P14 P15 P16
1 9 2 7 13 5 4 12 12 7 13 4 13 12 18 5
P17 P18 P19 P20 P21 P22 P23 P24 P25 P26 P27 P28 P29 P30 P31 P32
5 5 8 9 12 5 6 8 9 5 6 8 7 5 10 6
P33 P34 P35 P36 P37 P38 P39 P40 P41 P42 P43 P44 P45 P46 P47 P48
5 5 7 3 11 7 7 8 4 7 10 7 7 7 17 17
P49 P50 P51 P52 P53 P54 P55 P56 P57 P58 P59 P60 P61 P62 P63 P64
15 7 8 12 12 4 5 5 5 14 9 7 17 6 13 15
P65 P66 P67 P68 P69 P70 P71 P72 P73 P74 P75 P76 P77 P78 P79 P80
4 9 3 18 20 19 10 9 12 10 13 9 12 12 15 15
P81 P82 P83 P84 P85 P86 P87 P88 P89 P90 P91 P92 P93 P94 P95 P96
14 13 7 4 5 18 10 13 19 15 6 6 4 13 7 12
P97 P98 P99 P100
15 17 10 16
$score
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12 P13 P14 P15 P16
1 9 2 7 13 5 4 12 12 7 13 4 13 12 18 5
P17 P18 P19 P20 P21 P22 P23 P24 P25 P26 P27 P28 P29 P30 P31 P32
5 5 8 9 12 5 6 8 9 5 6 8 7 5 10 6
P33 P34 P35 P36 P37 P38 P39 P40 P41 P42 P43 P44 P45 P46 P47 P48
5 5 7 3 11 7 7 8 4 7 10 7 7 7 17 17
P49 P50 P51 P52 P53 P54 P55 P56 P57 P58 P59 P60 P61 P62 P63 P64
15 7 8 12 12 4 5 5 5 14 9 7 17 6 13 15
P65 P66 P67 P68 P69 P70 P71 P72 P73 P74 P75 P76 P77 P78 P79 P80
4 9 3 18 20 19 10 9 12 10 13 9 12 12 15 15
P81 P82 P83 P84 P85 P86 P87 P88 P89 P90 P91 P92 P93 P94 P95 P96
14 13 7 4 5 18 10 13 19 15 6 6 4 13 7 12
P97 P98 P99 P100
15 17 10 16
$reliability
Number of Items
20
Number of Examinees
100
Coefficient Alpha
0.813
$scored
i1 i2 i3 i4 i5 i6 i7 i8 i9 i10 i11 i12 i13 i14 i15 i16 i17 i18 i19 i20
1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0
2 0 0 1 1 0 0 1 1 1 1 0 1 0 0 0 1 0 1 0 0
3 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1
4 0 1 0 1 1 1 0 0 1 0 1 0 1 0 0 0 0 0 0 0
5 0 0 1 1 0 1 1 1 0 0 1 1 1 1 0 1 0 1 1 1
6 0 0 0 0 0 1 0 0 0 1 0 0 1 1 0 0 1 0 0 0
7 0 0 0 0 0 1 1 1 0 0 0 0 0 0 1 0 0 0 0 0
8 0 1 1 1 0 1 1 0 0 1 0 1 1 1 1 0 1 0 1 0
9 1 0 1 1 1 1 1 1 0 1 0 0 0 1 0 0 1 1 0 1
10 0 1 1 0 0 0 1 0 0 1 0 1 0 0 1 1 0 0 0 0
11 1 0 0 0 1 1 1 1 1 1 1 1 0 1 0 1 1 0 1 0
12 0 0 1 1 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0
13 1 1 0 0 1 1 1 1 0 1 0 1 1 1 0 1 1 1 0 0
14 1 1 0 1 0 1 1 1 1 0 0 1 1 0 1 0 1 0 0 1
15 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 0 1 1 1
16 0 1 0 0 0 0 1 0 0 1 0 0 1 0 0 0 0 1 0 0
17 1 0 1 0 1 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0
18 0 0 0 0 0 1 1 0 0 0 0 0 1 0 0 1 0 0 1 0
19 1 0 1 0 1 0 1 1 1 0 0 1 0 1 0 0 0 0 0 0
20 0 1 1 1 0 0 0 0 1 0 1 0 1 1 0 0 0 0 1 1
21 1 1 1 1 0 1 1 0 0 1 1 1 1 1 0 1 0 0 0 0
22 0 0 0 0 0 1 1 0 1 0 0 1 0 0 1 0 0 0 0 0
23 0 1 0 0 0 0 1 1 1 1 0 1 0 0 0 0 0 0 0 0
24 0 1 1 0 0 0 1 1 0 1 0 0 1 1 0 0 0 0 0 1
25 1 0 0 0 0 1 1 1 0 1 0 1 0 0 1 1 0 1 0 0
26 0 0 1 0 0 1 0 0 0 0 1 0 0 0 0 0 1 0 0 1
27 0 0 0 0 0 0 1 0 0 1 0 1 1 0 0 0 1 1 0 0
28 1 1 0 0 0 1 0 0 0 0 0 1 1 1 1 0 0 0 0 1
29 1 0 0 0 1 1 1 0 1 0 0 1 1 0 0 0 0 0 0 0
30 0 0 0 0 1 1 0 1 0 0 0 0 0 1 0 0 0 1 0 0
31 1 1 0 0 0 1 1 0 0 1 0 1 1 1 1 0 0 0 0 1
32 0 0 1 0 1 1 0 0 1 1 1 0 0 0 0 0 0 0 0 0
33 0 0 1 0 0 0 0 0 0 1 1 0 0 0 1 0 0 0 0 1
34 1 0 0 0 0 1 0 1 0 0 0 1 1 0 0 0 0 0 0 0
35 0 1 0 0 1 1 1 1 0 1 0 0 1 0 0 0 0 0 0 0
36 0 0 0 0 0 1 0 1 0 0 0 0 0 1 0 0 0 0 0 0
37 1 1 1 0 0 1 1 1 0 0 1 1 1 0 0 1 1 0 0 0
38 1 1 0 0 0 1 1 1 0 0 0 1 0 0 0 0 1 0 0 0
39 0 1 0 0 0 1 1 1 0 1 1 0 0 0 0 1 0 0 0 0
40 1 1 1 0 1 1 1 0 0 0 0 0 1 0 0 0 0 0 1 0
41 0 1 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 1 0
42 0 0 0 1 0 1 0 1 0 1 0 1 1 0 0 0 1 0 0 0
43 0 0 0 0 0 1 1 1 1 1 0 1 1 0 0 0 0 1 1 1
44 0 0 1 0 0 1 1 1 0 0 0 0 1 1 0 0 1 0 0 0
45 1 0 0 0 0 1 1 0 0 1 0 0 1 1 0 0 0 0 1 0
46 1 0 0 0 0 1 1 1 1 0 0 0 0 0 1 1 0 0 0 0
47 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 0 1 1 0 1
48 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 0 1 1 0 1
49 1 1 0 0 0 1 1 1 1 0 1 1 1 0 1 1 1 1 1 1
50 0 0 1 0 0 1 1 1 0 0 0 0 1 0 1 0 0 1 0 0
51 0 0 1 0 0 1 1 0 0 1 0 1 1 1 0 0 0 1 0 0
52 1 1 0 1 1 1 1 1 1 1 0 1 1 0 0 0 0 0 1 0
53 1 1 0 1 1 1 1 0 0 1 1 1 1 0 1 0 1 0 0 0
54 0 0 1 1 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0
55 0 1 1 0 0 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0
56 0 0 0 1 0 1 1 0 0 0 0 0 0 0 1 0 0 1 0 0
57 0 0 1 0 0 0 1 1 0 0 0 0 1 1 0 0 0 0 0 0
58 0 0 1 0 1 1 1 0 1 1 1 1 1 1 0 0 1 1 1 1
59 1 1 1 0 0 1 1 0 0 1 0 0 1 0 0 0 0 1 1 0
60 0 0 0 0 0 1 1 0 1 1 0 1 1 1 0 0 0 0 0 0
61 1 1 1 1 1 1 1 1 0 1 1 1 0 1 1 1 1 1 0 1
62 0 0 1 0 0 0 1 1 0 0 1 0 0 0 1 0 1 0 0 0
63 1 1 1 0 0 1 1 0 0 0 1 1 1 1 0 1 1 0 1 1
64 1 1 1 0 0 1 1 1 0 1 1 1 1 1 1 1 0 1 0 1
65 0 0 1 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1
66 0 1 0 0 1 0 0 1 0 0 0 1 1 0 0 1 1 1 1 0
67 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 1 0
68 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 0 1 1
69 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
70 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1
71 0 1 0 0 1 1 0 1 0 0 1 1 1 0 1 0 1 0 1 0
72 0 1 1 0 0 0 1 1 0 0 1 1 1 1 0 0 1 0 0 0
73 1 0 1 0 0 1 1 1 0 0 1 0 0 1 1 1 1 0 1 1
74 0 1 0 1 0 1 0 0 0 1 1 0 1 1 1 0 1 0 0 1
75 1 1 1 1 1 1 1 0 0 0 0 1 1 1 0 0 0 1 1 1
76 1 1 0 0 1 1 0 0 0 1 1 1 1 1 0 0 0 0 0 0
77 1 1 1 1 0 1 1 1 0 0 1 1 0 1 1 0 1 0 0 0
78 0 1 1 0 0 1 1 1 0 0 1 1 1 1 0 1 0 0 1 1
79 1 1 0 1 0 1 1 0 1 1 0 1 1 1 1 1 1 0 1 1
80 1 1 1 1 1 1 1 1 1 1 0 1 1 1 0 0 1 1 0 0
81 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 0 0 0 1 0
82 0 1 1 0 1 1 1 1 1 0 1 1 0 1 0 1 0 0 1 1
83 0 1 1 1 0 0 0 0 0 1 0 0 0 1 0 1 0 0 0 1
84 0 0 0 0 0 1 0 0 0 0 0 0 1 0 1 0 0 0 0 1
85 0 0 1 0 0 1 1 1 0 0 0 0 0 0 0 0 1 0 0 0
86 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 0
87 0 1 1 0 0 1 1 1 1 0 1 1 0 1 0 0 0 0 0 1
88 0 1 0 1 1 1 1 1 0 1 1 1 1 1 0 1 0 0 1 0
89 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1
90 1 1 1 1 1 1 1 1 0 0 1 1 0 1 0 1 1 1 0 1
91 1 0 1 0 1 1 0 0 0 0 0 0 0 0 0 1 0 0 0 1
92 1 0 0 0 0 1 0 0 0 1 0 0 1 0 1 1 0 0 0 0
93 0 0 1 0 0 1 0 0 0 0 0 1 0 0 1 0 0 0 0 0
94 1 0 0 0 0 1 1 1 0 1 1 1 1 1 1 1 1 0 0 1
95 0 0 0 0 1 1 0 0 0 1 0 1 1 1 0 0 0 1 0 0
96 1 1 1 1 1 1 1 1 0 0 0 1 0 0 0 0 1 1 0 1
97 1 1 0 1 1 1 1 1 0 1 1 1 1 1 1 0 1 0 0 1
98 1 1 1 1 0 1 1 1 0 1 1 1 1 1 1 0 1 1 1 1
99 0 0 1 0 1 1 1 1 0 1 0 0 1 1 0 1 1 0 0 0
100 1 0 1 1 1 1 1 1 0 1 1 1 0 1 0 1 1 1 1 1
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