are as follows:
Table 13. Summary of Identity Style’s Reliability Result
Identity Style Coefficient of
Alpha Cronbach Criteria
Decision
Informational Style 0,734
High Reliable
Normative Style 0,600
High Reliable
Diffuse-Avoidant Style 0,858
Very High Reliabele
Source: Primary Data are Processed The table above show that reliability value of identity Style are 0.734
to Informational Style, 0.600 to Normative Style and 0.858 to Diffuse- Avoidant Style. So three types of Identity Style are reliable because they
have the values are more than 5 significance level. While the reliability result of achievement tests as follows:
Table 14. Summary of Achievement Test’s Reliability Result
Coefficient of Alpha Cronbach
Achievement Test 0,766
Source: Primary Data are Processed The table above shows that reliability value for achievement test is
0.766. So the achievement test is reliable because it has the value is more than 5 significance level.
3. Item Analysis
Item analysis was conducted to determine the quality of the test items were used to test the achievement in the subjects Introduction to Finance
and Accounting in grade X Acoounting program Study SMK Negeri 1 Wonosobo. Explanation of item analysis used in this research, they are:
a. Difficulty Level
Calculation of difficulty is measuring the difficulty level of a item. If a question has a difficulty level balanced proportionate, it can be
said that the item is good Zainal Arifin, 2012: 266-179. Test of difficulty level in this study used SPSS 19.00 for Windows. Values of
difficulty level can be seen in the Mean line of the Statistics‟s output
table. Following criteria for the interpretation of difficulty level‟s
calculation result:
Table 15. Criteria of Difficulty Level P Value
Categories
0,00-0,30 Difficult
0,31-0,70 Medium
0,71-1,00 Easy
Source: Nana Sudjana, 2013: 137 Based on the difficulty level
‟s calculation above, items number 1, 3, 4, 6, 11, and 15 included in Easy category; and items number 2, 5,
8, 9 and 13 included in Medium category.
b. Distinguishing Power
Distinguishing power is measurement of calculations to determine the extent to which the item is able to discriminate between students
who have mastered the competencies and students who have not mastered the competencies based on predetermined criteria. To get
higher coefficient of distinguishing, the item was increasingly able to distinguish between students are competent or not competent.
Distinguishing power in this study used SPSS 19.00 for Windows. Values of distinguising power can be seen on Pearson Correlation
Correlation ‟row on Validity‟s ouput table. Following the decision
criteria of distinguishing power:
Table16. Criteria of Distinguishing Coefficient Distinguish Power Value
Criteria
0,00-0,20 Bad
0,21-0,40 Enough
0,41-0,70 Good
0,71-1,00 Very Good
Negative Not good, should be discarded
Source: Suharsimi Srikunto, 2006: 209 Based on distinguish power
‟s calculation result above, item number 8 included in Very Good category; items number 1, 2, 3, 4, 5,
6, 9, 11, and 13 included in Good categories; and item number 15 included in Enough category.
K. Data Analysis Techniques
