The Technique of Data Collection
Categories Score
Criteria Language Use
21 —18
GOOD TO AVERAGE: Effective but simple constructions. Minor
problems in complex constructions. Several errors of agreement, tense, number, word
orderfunction, articles, pronouns, prepositions but meaning seldom obscured.
17 —11
FAIR TO POOR: Major
problems in
simplecomplex constructions. Requent errors of negation,
agreement, tense, number, word orderfunction, articles,
pronouns, prepositions
andor fragments, run-ons, deletions. Meaning confused
or obscured. 10
—5 VERY POOR:
Virtually no mastery of sentence construction rules.
Dominated by
errors. Does
not communicate. Or not enough to evaluate.
Mechanic 5
EXCELLENT TO VERY GOOD: Demonstrates mastery of conventions. Few
errors of spelling. Punctuation. Capitalization. Paragraphing.
4 GOOD TO AVERAGE:
Occasional errors of spelling. Punctuation. Capitalization. Paragraphing. Meaning not
obscured 3
FAIR TO POOR: Frequent errors of spelling. Punctuation.
Capitalization. Paragraphing. Poor handwriting. Meaning confused or obscured.
Categories Score
Criteria Mechanic
2 VERY POOR:
No mastery of conventions. Dominated by errors of
spelling. Punctuation.
Capitalization. Paragraphing. Handwriting illegible. Or not
enough to evaluate.
F.
The Technique of Data Analysis
The researcher analyzed the data by using statistical analysis. In analyzing the data, the t-test was used to find out the effect of pi
ctures series on students’ writing ability of recount text. The formula of t-test is as follows:
4
Mx : Mean of the score of experimental class
My : Mean of the score of controlled class SE
ᴍx : Standard error of experimental class SE
ᴍy : Standard error of controlled class
The steps that must be done in calculation are: 1. Determining mean of variable X, with the formula as follows:
Mx : Mean of the score of experimental class x : Sum of the students’ score of experimental class
N
:
Number of the students of experimental class
4
Anas Sudijono, Pengantar Statistik Pendidikan, Jakarta: PT. Raja Grafindo Persada 2014, p. 314.
2. Determining mean of variable Y, with the formula as follows:
My : Mean of the score of controlled class : Sum of the students’ score of controlled class
N
:
Number of the students of controlled class
3. Determining standard of deviation score of variable X, with formula as follows: √
SDx : Standard deviation score of experimental class
4. Determining the standard deviation score of variable Y, with formula as follows:
√ Sdy : Standard deviation score of controlled class
5. Determining standard errors of mean of variable X, with the formula as follows:
√ SE
Mx :
Standard error of experimental class
6. Determining standard errors of mean of variable Y, with the formula as follows:
√
SE
My :
Standard error of controlled class
7. Determining of standard errors of different mean variable X and variable Y, with the formula as follows:
√
8. Determining
t
o,
with the formula as follows:
Mx : Mean of the score of experimental class
My : Mean of the score of controlled class
SEMx : Standard error of experimental class SEMy : Standard error of controlled class
9. Determining
t-
table with the degree of freedom df in significant level 5 and 1 with the formula as follows:
Df : Degree of freedom N
: Number of students of experimental class N
: Number of students of controlled class