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Table 1 Mean Sample Difficulty on English Language Features

From: An enduring lens for a continuing problem: Close analysis of conceptually scored cloze items

Student Sample

No. of pupils

Noun

At’cle

Verb

Prp’n

Tchlty

Word Stacks

Pas’ve Voice

Cohsv Device

Overall D’fclty

%

%

%

%

%

%

%

%

%

wrong

wrong

wrong

wrong

wrong

wrong

wrong

wrong

wrong

n=18

n=5

n=12

n=5

n=10

n=6

n=3

n=15

n=50

U/G Chinese

114

53.17 (SD=13.73)

39.30 (SD=21.27)

51.90 (SD=21.12)

47.19 (SD=18.65)

47.81 (SD=20.51)

32.02 (SD=19.97)

42.98 (SD=28.65)

37.60(SD=17.87)

48.63 (SD=15.09)

Rank @

1

4

2

3

1

4

2

3

 

Secondary EALD #

Rank

2

4

3

1

3

4

2

1

 

679

42.89 (SD=18.06)

28.19 (SD=26.93)

39.80 (SD=25.84)

48.22 (SD=23.80)

31.69 (SD=20.29)

18.14 (SD=18.63)

36.38 (SD=33.19)

46.55 (SD=19.03)

43.41 (SD=19.83)

Secondary English

127

47.55 (SD=23.18)

30.08 (SD=28.72)

40.16 (SD=29.55)

41.10 (SD=26.94)

39.29 (SD=26.49)

25.33 (SD=26.05)

34.12 (SD=34.75)

45.88 (SD=23.36)

44.38 (SD=24.34)

Rank

1

4

3

2

2

4

3

1

 
  1. Notes:
  2. @ Rank = Rank within category, most difficult = 1.
  3. #EALD = English as an Additional Language or Dialect.
  4. Table 1 is based on analysis of student responses on a single cloze test.
  5. *Student data was recoded so that a clear error = 1 and acceptable replacement = 0.
  6. *Cloze test deletions were classified by language category.
  7. *Two SPSS routines were written (“dictionary categories” & “modern grammar categories”).
  8. These did the following:
  9. 1 count number of items representing a particular language category (eg., nouns) coded as clear error.
  10. 2 divide that number by the number of items representing that category (eg., nouns) deleted (in this case, 18) to give the mean category (in this case, noun) difficulty.
  11. 3 multiply that mean by 100 to yield a percentage.
  12. 4 average that mean across the particular student sample (114 students for the undergraduate Chinese group: 53%).
  13. The top row language descriptors are discussed previously, in Deletion categorization. The number at the base of each heading refers to the number of deletions categorized as reflecting that descriptor.