This means that if a respondent does not answer an 
item, that data need not be discarded from a study. 
Also, using the Rasch model permits construction of 
different forms of a test, but all respondents can be 
expressed on the same scale. Use of the model yields 
great benefits, but researchers must thoroughly and 
carefully evaluate whether or not the data fit the 
model. When data do not appear to fit the model 
expectations, some sort of divergence exists in 
respondents’ answers to the items and the theory that 
was used to generate items for the instrument along 
a single variable (Boone et al., 2013). 
Second, on item fit and item measure found 4 
items that exceed the measurement criteria in Rasch 
modelling. The four items are a set of items that are 
considered the most difficult to be approved by the 
respondents as a whole. Based on these findings, we 
consider the four instruments to be dropped from 
NES and no longer used in administering NES. 
4 CONCLUSIONS 
Based on the results of the analysis can be concluded 
that the NES has met the criteria instrument with 
good measurement property and internal 
consistency. There is a change in the number of 
items in NES of 21 items pre-validation to 17 items 
post-validation. 
ACKNOWLEDGEMENTS 
The measured NES process can be completed until 
the validity test with the help of various parties such 
as respondents who become the participants in 
conducting the development and validation this 
instrument. Thanks to the Department of Guidance 
and Counseling, Universitas Indraprasta PGRI to 
have supported in the making of instruments and for 
the cooperation made by the drafting team. 
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