A Guide to Objective Scrutiny of a Test: Individual Item Analysis & Overall Test Analysis in Practice Teaching Translation translation jobs
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A Guide to Objective Scrutiny of a Test: Individual Item Analysis & Overall Test Analysis in Practice



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See also:
How to Test a Test:
Preliminary Procedures & Objective Scrutiny of a Test

Introduction

Mohammad Mohseni Far photoThe present study examines important characteristics of the individual items of a test, i.e. Item Facility, Item Discrimination, Choice Distribution as well as the significant feature of overall test, i.e. Reliability. In doing so, four valid vocabulary tests, each comprising 30 items (120 items in total), were administered to an adequate number of subjects majoring in English Translation (32 students, Shahid Chamran University, B.A. Level) as similar as possible to those for whom it is really intended (i.e. target population).

The whole package of 120-item test is divided into four Vocabulary Levels Tests. They are 2000 word level, 3000 word level, Academic vocabulary & 5000 word level respectively. In order to better keep track (and of course, analysis) of the whole performance of students, the items based on the aforementioned order are numbered respectively. The required characteristic of each item is calculated. In addition, the value of Reliability is also computed for each particular test.

This try-out activity of pretesting involves administering the test for the purpose of collecting information about the usefulness of the test itself, and for the improvement of the test and testing procedures. Specifically speaking, the goal of pretesting will be twofold. The first purpose is to determine objectively the characteristics of the individual items (item analysis). These characteristics include item facility (IF), item discrimination (ID) and choice distribution (CD). The second purpose is only to determine the characteristic of Reliability.

In closing, having calculated and analyzed the pertinent statistical values, one can either safely eliminate the ill-constructed, malfunctional and unsuitable items or manipulate them technically in a way to develop an appropriate test fulfilling academic requirements.

* Choice distribution (CD) [response frequency distribution)

Choice distribution is a technique which helps a test developer to know how each and all of distractors perform in a given test administration. In simple words, choice distribution refers to the frequency with which alternatives are selected by the examinees [the distribution of responses given to different alternatives in a multiple-choice item].

Choice distribution should be determined in order to improve the test both quantitatively and qualitatively. Thus through choice distribution, the test developer can observe deficiencies existing in the nature of choices and then discard or modify them. For example, if a choice is not selected by any examinees, it implies that this distractor does not function satisfactorily; therefore it should be deleted.

Analysis:

  • Non-highlighted rows

    They refer to those items correctly responded by all testees. Technically speaking, the distractors in aforementioned items have not functioned well so they need to be modified or eliminated.

  • Highlighted rows (boxes in white)

    They take in boxes with given frequency of being selected by the test takers. Although some of distractors/alternative out of them have worked well (i.e. those wrong choices which have been selected by the examinees), there still seems some malfunctioned distractors required to be modified or deleted (i.e. those which have not been selected).

Choice Distribution

The 2000 word level

The 2000 word level

Choice Distribution

The 3000 word level

The 3000 word level

Choice Distribution

Academic vocabulary

Academic vocabulary

Choice Distribution

The 5000 word level

The 5000 word level

* Item facility (IF) [facility value, item easiness, item difficulty]

It refers to a measure of the ease of a test item. Item facility has to do with how easy or difficult an item is from the viewpoint of the group of students or examinees taking the test of which that item is a part. The reason for concern with IF is very simple; a test item that is too easy (say, an item that every student answers correctly) or a test item that is too difficult (one, say, that every student answers incorrectly) can tell us nothing about the differences in ability with the test population; so it should be deleted.

A formula for producing decimal value for IF:

A formula for producing decimal value for IF

Item with facility indexes beyond 0.63 are too easy, and items with facility indexes below 0.37 are too difficult; thus it should be deleted.

Item facility refers to the proportion of correct responses, while item difficulty refers to the proportion of wrong responses.

A formula for producing decimal value for IF

Item Facility (IF)

Item

Item Facility (IF)

Item

Item Facility (IF)

Item

Item Facility (IF)

1

1

41

1

81

0.93

2

1

42

0.81

82

0.9

3

1

43

1

83

1

4

1

44

1

84

0.81

5

1

45

1

85

1

6

1

46

0.06

86

1

7

1

47

0.06

87

1

8

1

48

0.93

88

0.31

9

1

49

0.65

89

0.75

10

1

50

0.75

90

1

11

1

51

1

91

1

12

1

52

1

92

0.90

13

1

53

1

93

0.03

14

1

54

1

94

0.84

15

1

55

0.50

95

0.03

16

1

56

0.06

96

0.03

17

1

57

0.18

97

1

18

0.90

58

1

98

0.62

19

1

59

1

99

0.03

20

1

60

1

100

0.93

21

1

61

0.93

101

1

22

0.81

62

1

102

0.71

23

1

63

1

103

1

24

0.81

64

1

104

0.12

25

1

65

1

105

1

26

1

66

1

106

0.06

27

1

67

0.87

107

0.25

28

0.84

68

0.09

108

0.81

29

1

69

1

109

0.06

30

1

70

1

110

0.28

31

1

71

1

111

0.37

32

1

72

0.40

112

1

33

1

73

1

113

1

34

1

74

1

114

1

35

1

75

1

115

0.09

36

1

76

1

116

0.50

37

1

77

0.09

117

1

38

1

78

1

118

1

39

1

79

1

119

1

40

0.40

80

1

120

0.40

* Items are numbered respectively in total (2000/3000/Academic/5000 word level)

* Item discrimination (item differentiation)

It refers to the notion that how well a test item discriminates between weak (less knowledgeable) and strong (more knowledgeable) examinees in the ability being tested. There is a relationship between item facility and item discrimination. An item with a too high or low facility index is not likely to have a discrimination power.

A suitable procedure for calculating ID is to rank the total scores of test takers from the highest to the lowest. Then, dividing examinees into two equal groups (the higher half (high group/H) and lower half (low group/L). At last, apply this formula:

Item discrimination

CH: number of correct responses to a particular item by the examinee in the high group
CL: number of correct responses to a particular item by the examinee in the low group

In contrast to item facility where the ideal index is 0.50, for item discrimination the ideal index is unity (1). Nevertheless, items which show discrimination value beyond 0.40 can be considered acceptable. An item discriminates in a positive direction (positive discrimination) if more test takers in the upper group than the lower group get the item right.

Item Discrimination (ID)

Item

Item Discr.(ID)

Item

Item Discr.(ID)

Item

Item Discr.(ID)

1

0

41

0

81

0.33

2

0

42

0.37

82

0.18

3

0

43

0

83

0

4

0

44

0

84

0.37

5

0

45

0

85

0

6

0

46

0.12

86

0

7

0

47

0.12

87

0

8

0

48

0.33

88

0.62

9

0

49

0.31

89

0.50

10

0

50

0.50

90

0

11

0

51

0

91

0

12

0

52

0

92

0.18

13

0

53

0

93

0.06

14

0

54

0

94

0.31

15

0

55

1

95

0.06

16

0

56

0.12

96

0.06

17

0

57

0.37

97

0

18

0.18

58

0

98

0.75

19

0

59

0

99

0.06

20

0

60

0

100

0.12

21

0

61

0.33

101

0

22

0.37

62

0

102

0.43

23

0

63

0

103

0

24

0.37

64

0

104

0.25

25

0

65

0

105

0

26

0

66

0

106

0.12

27

0

67

0.25

107

0.50

28

0.31

68

0.18

108

0.37

29

0

69

0

109

0.12

30

0

70

0

110

0.56

31

0

71

0

111

0.25

32

0

72

0.81

112

0

33

0

73

0

113

0

34

0

74

0

114

0

35

0

75

0

115

0.18

36

0

76

0

116

1

37

0

77

0.18

117

0

38

0

78

0

118

0

39

0

79

0

119

0

40

0.81

80

0

120

0.81

Reliability

A quality of test scores which refers to the consistency of measures across different times, test forms, raters and other characteristics of the measurement context. Synonyms for reliability are: dependability, stability, consistency, predictability and accuracy. To put another way, the tendency toward consistency from one set of measurement to the next is called reliability. In doing so, reliability is best defined as the consistency of scores produced by a given test.

  • KR-21 method: this formula is based on the assumption that all items in a test are designed to measure a single trait. Due to application of purely statistical procedure, the method is sometimes called rational equivalence.

    KR-21 method

    K: the number of the items in a test
    X: the mean score
    V: the variance

    * Summarized Data:

    Number of subjects: 32
    Four Vocabulary Levels Tests: 2000 / 3000 / Academic / 5000 word level
    Maximum mark in each level test: 30
    Total mark out of four tests (maximum): 120

    Subject

    2000

    3000

    Academic

    5000

    Total

    1

    30

    26

    26

    22

    104

    2

    30

    27

    25

    19

    101

    3

    30

    23

    25

    19

    97

    4

    28

    26

    29

    22

    105

    5

    28

    25

    27

    21

    101

    6

    30

    25

    27

    13

    95

    7

    30

    26

    27

    18

    101

    8

    30

    30

    29

    24

    113

    9

    28

    28

    27

    20

    103

    10

    30

    22

    22

    18

    92

    11

    30

    28

    27

    24

    109

    12

    30

    24

    24

    13

    91

    13

    30

    28

    30

    25

    113

    14

    29

    28

    28

    20

    105

    15

    28

    23

    27

    17

    95

    16

    29

    22

    27

    16

    94

    17

    29

    25

    29

    19

    102

    18

    30

    27

    29

    23

    109

    19

    29

    28

    26

    17

    100

    20

    30

    29

    29

    28

    116

    21

    27

    26

    27

    22

    102

    22

    30

    26

    29

    19

    104

    23

    30

    30

    29

    24

    113

    24

    30

    28

    28

    15

    101

    25

    30

    27

    24

    14

    95

    26

    28

    24

    30

    18

    100

    27

    30

    23

    22

    17

    92

    28

    30

    28

    27

    20

    105

    29

    29

    23

    27

    15

    94

    30

    28

    29

    28

    26

    111

    31

    30

    29

    27

    30

    116

    32

    30

    29

    30

    24

    113

    Summarized Statistical Calculations

    Mean – Variance – Reliability

    * The 2000 word level

    Mean = 29.37
    Variance = 0.82
    K = 30

    The 2000 word level

    * The 3000 word level

    Mean = 26.31
    Variance = 5.64
    K = 30

    The 3000 word level

    * Academic vocabulary

    Mean = 27.12
    Variance = 4.37
    K = 30

    Academic vocabulary

    * The 5000 word level

    Mean = 20.06
    Variance = 17.86
    K = 30

    The 5000 word level


     
    2000
    3000
    Academic
    5000
    Calculated Reliability
    0.25
    0.43
    0.42
    0.64








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