The  Philippine Statistics  Authority  (PSA) Siquijor Provincial Statistical Office  conducted  a  three-day  statistical  training  for selected  LGU  staff  from  the  Municipalities of Enrique Villanueva, Larena, Maria and San Juan  of  the province  of  Siquijor. This capacity-building activity was conducted by CBMS personnel on 24-26 July 2023 at the Philippine Statistics Authority Siquijor Provincial Statistical Office, Poblacion, Siquijor, Siquijor.

This capacity training intends to capacitate the local government units (LGU) personnel in tabulating and analyzing data obtained from the Community-Based Monitoring System (CBMS) conducted in  August 2022 and March 2023 in Siquijor province. 

The CBMS Module II-B: Data  Processing:  Data  Tabulation  and Analysis Using Descriptive Statistics was designed to develop one’s skill   in   generating   various   types   of   CBMS   data   tabulations   using the Census and Survey Processing System (CSPro) and Microsoft Excel applications. Through this session, LGU personnel in the said municipalities will be able to generate CBMS data and use functional charts that would be  useful  not  just  for  presentation  purposes,  but  more  importantly,  for evidenced-based planning and program implementation at the local level.

With  the  commitment  to  aid  in  poverty  alleviation  and  socio-economic  development, the PSA is bolstering and sustaining its partnership with the LGUs in delivering quality and relevant statistics. This is through capacity-building initiatives such as this training that would serve the best interest of every Filipino in the development process.

This training module was  developed  in  collaboration  with  the  Philippine Statistical Research and Training Institute (PSRTI), the training arm of the CBMS per Republic Act No. 11315 or the CBMS Act. Other modules shall also  be  served  to  all  CBMS  implementing  LGUs  such  as  the  uses  and applications of CBMS data, and the management and security of the local CBMS databank.  

 

Approved by:

(SGD.) JOSELITO C. MAGHANOY

(Supervising Statistical Specialist)

Officer-in-Charge