You also want an ePaper? Increase the reach of your titles
YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.
IV.<br />
DETERMATION FACTOR<br />
It is suggested for data user to underpin into a high consideration some factors in term of interpreting and analysing labor data.<br />
The variety factors are included below:<br />
1. Purpose of Survey<br />
Sakernas in a such kind of specific design survey which is aimed for labor data collection. On the other hand, it is<br />
<strong>di</strong>fferent compared with SP (Population Census) and Supas (Intercencal Population Cencus) which have a specific purpose<br />
to collect a demographic characteristic in general. As consequent, the SP and Supas data collection would have much more<br />
variety of variables than Sakernas. The variables can be gathered, such as: education, migration, family planning and labor.<br />
In ad<strong>di</strong>tion to that, in the Susenas (Social and Economic Survey) is compound by many characteristics variables in social and<br />
economic characteristics, for instance: consumption, labor, health and household variables. The complexity variables and<br />
<strong>di</strong>ssimilar survey function to the four of surveys design will give much contribution toward each labor data quality.<br />
2. Sample Size<br />
http://papuabarat.bps.go.id<br />
34 / 160<br />
The unlike sample size of Sakernas compared with other survey mentioned above (SP,Supas and Susenas) will lead<br />
to <strong>di</strong>fferent level of sampling error on its survey data sources. As well known that the smaller sample size will affect to the<br />
greater of sampling error on each survey.<br />
xxxiii