National Disability Prevalence Survey/Model Functioning Survey 2016
Philippines, 2016
Reference ID
PHL-PSA-NDPSMFS-2016-v0
Producer(s)
Philippine Statistics Authority
Metadata
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Created on
Oct 12, 2021
Last modified
Oct 12, 2021
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2961
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Identification
National Disability Prevalence Survey/Model Functioning Survey 2016
Name | Abbreviation |
---|---|
Philippines | PHL |
PHL-PSA-NDPSMFS-2016-v0
The survey provides detailed and nuanced information on how people conduct their lives and the difficulties they encounter regardless of any underlying health condition or impairment. The study helps the country identify the barriers that contribute to the problems that people encounter which in turn help guide policy and development as well as contribute in monitoring Sustainable Development Goals.
Sample survey data [ssd]
household, individual
Version
Version 0
Scope
Topic | Vocabulary | URI |
---|---|---|
Health | Philippine Statistics Authority | |
Gender and special population groups | Philippine Statistics Authority | |
Household surveys | Philippine Statistics Authority |
Coverage
National coverage
household, individual
Household = all sample households
Individual = persons aged 15 years and older from different educational and cultural backgrounds.
Individual = persons aged 15 years and older from different educational and cultural backgrounds.
Producers and sponsors
Name | Affiliation | Role |
---|---|---|
Name | Abbreviation | Role |
---|---|---|
Government of the Philippines | GOP | Full funding |
- Department of Health | DOH | |
- Philippine Statistics Authority | DOH |
Name | Affiliation | Role | |
---|---|---|---|
National Council on Disability Affairs | Technical Assistance, Development of Questionnaire, Pretest and Training | ||
World Health Organization | Technical Assistance, Questionnaire Design, Disability Concepts, Training Resource Person |
Sampling
The 2016 NDPS/MFS utilized the new 2013 Master Sample (2013 MS) for household-based surveys of the PSA. The 2013 MS is designed to produce reliable quarterly estimates of selected indicators at the national levels.
In the 2013 MS, each sampling domain (i.e., province/HUC) is subdivided into numbers of exhaustive and non-overlapping area segments known as Primary Sampling Units (PSUs). Each PSU is formed to consist of about 100 to 400 households. A single PSU can be barangay/Enumeration Area (EA) or a portion of a large barangay or two (2) or more adjacent small barangay/EAs. For the whole country, about 81 thousand PSUs are formed from more than 42 thousand barangays.
From the ordered list of PSUs, all possible systematic samples of six (6) PSUs were drawn to form a replicate for the most of the province domain or 75 out of 81 provinces. On the other hand, for the majority of highly urbanized cities, all possible systematic samples of eight (8) PSUs will be drawn to form a replicate.
The 2016 NDPS/MFS used one replicate of the quarterly sample of the MS or about 11,000 sample households.
In the 2013 MS, each sampling domain (i.e., province/HUC) is subdivided into numbers of exhaustive and non-overlapping area segments known as Primary Sampling Units (PSUs). Each PSU is formed to consist of about 100 to 400 households. A single PSU can be barangay/Enumeration Area (EA) or a portion of a large barangay or two (2) or more adjacent small barangay/EAs. For the whole country, about 81 thousand PSUs are formed from more than 42 thousand barangays.
From the ordered list of PSUs, all possible systematic samples of six (6) PSUs were drawn to form a replicate for the most of the province domain or 75 out of 81 provinces. On the other hand, for the majority of highly urbanized cities, all possible systematic samples of eight (8) PSUs will be drawn to form a replicate.
The 2016 NDPS/MFS used one replicate of the quarterly sample of the MS or about 11,000 sample households.
Please refer to the discussion of weight under the 2013 Master Sample. (http://psa.gov.ph/psada/index.php/2013-master-sample-design)
Data Collection
Start | End | Cycle |
---|---|---|
2016-11-12 | 2016-12-13 |
Face-to-face [f2f]
During operation each region, province and selected Central Office personnel were given mandays for supervision. This is done so that errors committed during the first few days be rectified so that errors may not be carried up to the end of enumeration.
Every team had a supervisor so that if the field interviewer had a problem encountered it can be easily solved. Team supervisor reviewed completed questionnaire for inconsistent entries and call the attention of the field interviewer. Some errors which can not be solved the field interviewer should go back to the respondent for re-interview.
One of the problem encountered during field operation was plenty of refusals, because the same samples was used by other household surveys conducted on the same quarter.
Every team had a supervisor so that if the field interviewer had a problem encountered it can be easily solved. Team supervisor reviewed completed questionnaire for inconsistent entries and call the attention of the field interviewer. Some errors which can not be solved the field interviewer should go back to the respondent for re-interview.
One of the problem encountered during field operation was plenty of refusals, because the same samples was used by other household surveys conducted on the same quarter.
Household Roster
Household Characteristics
Geographic Identification and Other Information
1000 Socio-demographic Characteristics
2000 Work History and Benefits
3000 Environmental Factors
4000 Functioning
5000 Health Condition
3000B Personal Assistance, Assistive Devices and Facilitators
6000 Health Care Utilization
7000 Wel- being
8000 Empowerment
9000 Interviewer Observations
Household Characteristics
Geographic Identification and Other Information
1000 Socio-demographic Characteristics
2000 Work History and Benefits
3000 Environmental Factors
4000 Functioning
5000 Health Condition
3000B Personal Assistance, Assistive Devices and Facilitators
6000 Health Care Utilization
7000 Wel- being
8000 Empowerment
9000 Interviewer Observations
Name | Abbreviation | Affiliation |
---|---|---|
Philippine Statistics Authority | PSA | National Economic and Development Authority |
Data Processing
Manual processing including folioing was done at the Provincial Offices (PO). Completeness check of physical questionnaires against the list of sample housing units or households were also done at the Provincial level.
Data Appraisal
Data evaluation was done at the Central Office.
Data access
Name | Affiliation | URI | |
---|---|---|---|
National Statistician | Philippine Statistics Authority | info@psa.gov.ph | www.psa.gov.ph |
Authorization to use this data is granted only to the client or data user and persons within its organization, if applicable. Under no circumstances shall the client reproduce, distribute, sell or lend the entire data or parts thereof to any other data user apart from himself or that of authorized employees in his organization. The PSA shall hold the data user fully responsible for safeguarding the data from any unauthorized access or use.
Before being granted access to the dataset, all users have to formally agree:
1. To make no copies of any files or portions of files to which s/he is granted access except those authorized by the PSA.
2. Not to use any technique in an attempt to learn the identity of any person, establishment, or sampling unit not identified in the dataset.
3. To hold in strictest confidence the identification of any establishment or individual that may be inadvertently revealed in any documents or discussion, or analysis. Such inadvertent identification revealed in her/his analysis will be immediately be reported to the PSA.
Before being granted access to the dataset, all users have to formally agree:
1. To make no copies of any files or portions of files to which s/he is granted access except those authorized by the PSA.
2. Not to use any technique in an attempt to learn the identity of any person, establishment, or sampling unit not identified in the dataset.
3. To hold in strictest confidence the identification of any establishment or individual that may be inadvertently revealed in any documents or discussion, or analysis. Such inadvertent identification revealed in her/his analysis will be immediately be reported to the PSA.
Disclaimer and copyrights
The data users/researchers acknowledge that the PSA and the agency funding the study bear no liabilities and responsibilities for any particular, indirect, or consequential damages or any damages, whatsoever resulting from loss of use, or of data in connection with the use or for interpretations or inferences based upon such uses.
(c) 2017, Philippine Statistics Authority
contacts
Name | Affiliation | URI | |
---|---|---|---|
Chief, Demographic and Health Statistics Division | Philippine Statistics Authority | dhsd.staff@psa.gov.ph | |
Chief, Knowledge Management and Communications Division | Philippine Statistics Authority | info@psa.gov.ph | www.psa.gov.ph |