The Canadian Research Data Centre Network (CRDCN) template summarizes the data management that is conducted by Statistics Canada and the CRDCN on behalf of researchers. While there are some advantages to working inside the RDC for data management, there is also a substantial drawback: RDC data can never be deposited in a repository in accordance with the recommended best practices for research data management. Because of this, researchers should be mindful of other options to engage in best practices. In addition to ensuring that the RDC project folder is well documented, and consistent with the research output, researchers should curate a supporting data deposit at a recognized repository in their discipline or within the Federated Research Data Repository (FRDR) containing metadata, syntax (code that produces a statistical output), and any other supporting material for the research project. This template is for researchers who are doing RDC work using Statistics Canada data available in the RDC only (i.e. there is no supplemental data, public use statistics, or any other information that complements the RDC work). If your work is being conducted in the RDC in concert with other data that you either intend to bring into the RDC or work on outside the RDC in parallel to your RDC work, then the RDC and External Analysis template should be completed. For more information, visit www.crdcn.org.

Abstract

The programme for the World Census of Agriculture 2000 is the eighth in the series for promoting a global approach to agricultural census taking. The first and second programmes were sponsored by the International Institute for Agriculture (IITA) in 1930 and 1940. Subsequent ones up to 1990 were promoted by the Food and Agriculture Organization of the United Nations(FAO). FAO recommends that each country should conduct at least one agricultural census in each census programme decade and its programme for the World Census of Agriculture 2000 for instance corresponds to agricultural census to be undertaken during the decade 1996 to 2005. Many countries do not have sufficient resources for conducting an agricultural census. It therefore became an acceptable practice since 1960 to conduct agricultural census on sample basis for those countries lacking the resources required for a complete enumeration.

In Nigeria's case, a combination of complete enumeration and sample enumeration is adopted whereby the rural (peasant) holdings are covered on sample basis while the modern holdings are covered on complete enumeration. The project named “National Agricultural Sample Census” derives from this practice. Nigeria through the National Agricultural Sample Census (NASC) participated in the 1970's, 1980's, 1990's programmes of the World Census of Agriculture. Nigeria failed to conduct the Agricultural Census in 2003/2004 because of lack of funding. The NBS regular annual agriculture surveys since 1996 had been epileptic and many years of backlog of data set are still unprocessed. The baseline agricultural data is yet to be updated while the annual regular surveys suffered set back. There is an urgent need by the governments (Federal, State, LGA), sector agencies, FAO and other International Organizations to come together to undertake the agricultural census exercise which is long overdue. The conduct of 2006/2008 National Agricultural Sample Census Survey is now on course with the pilot exercise carried out in the third quarter of 2007.

The National Agricultural Sample Census (NASC) 2006/08 is imperative to the strengthening of the weak agricultural data in Nigeria. The project is phased into three sub-projects for ease of implementation; the Pilot Survey, Modern Agricultural Holding and the Main Census. It commenced in the third quarter of 2006 and to terminate in the first quarter of 2008. The pilot survey was implemented collaboratively by National Bureau of Statistics.

The main objective of the pilot survey was to test the adequacy of the survey instruments, equipments and administration of questionnaires, data processing arrangement and report writing. The pilot survey conducted in July 2007 covered the two NBS survey system-the National Integrated Survey of Households (NISH) and National Integrated Survey of Establishment (NISE). The survey instruments were designed to be applied using the two survey systems while the use of Geographic Positioning System (GPS) was introduced as additional new tool for implementing the project.

The Stakeholders workshop held at Kaduna on 21st-23rd May 2007 was one of the initial bench marks for the take off of the pilot survey. The pilot survey implementation started with the first level training (training of trainers) at the NBS headquarters between 13th - 15th June 2007. The second level training for all levels of field personnels was implemented at headquarters of the twelve (12) concerned states between 2nd - 6th July 2007. The field work of the pilot survey commenced on the 9th July and ended on the 13th of July 07. The IMPS and SPSS were the statistical packages used to develop the data entry programme.

Geographic coverage

State

Analysis unit

Households who are rearing livestock or kept poultry

Universe

Livestock or poultry household

Kind of data

Census/enumeration data [cen]

Sampling procedure

The survey was carried out in 12 states falling under 6 geo-political zones. 2 states were covered in each geo-political zone. 2 local government areas per selected state were studied. 2 Rural enumeration areas per local government area were covered and 3 Livestock/poultry farming housing units were systematically selected and canvassed.

Sampling deviation

No Deviation

Mode of data collection

Face-to-face [f2f]

Research instrument

The NASC livestock and poultry questionnaire was divided into the following sections: - Identification/description of holdings - Funds, employment and earnings/wages - Livestock - Poultry - Fixed assets - Sales - Stock - Subsidy

Cleaning operations

The data processing and analysis plan involved five main stages: training of data processing staff; manual editing and coding; development of data entry programme; data entry and editing and tabulation. Census and Surveys Processing System (CSPro) software were used for data entry, Statistical Package for Social Sciences (SPSS) and CSPro for editing and a combination of SPSS, Statistical Analysis Software (SAS) and EXCEL for table generation. The subject-matter specialists and computer personnel from the NBS and CBN implemented the data processing work. Tabulation Plans were equally developed by these officers for their areas and topics covered in the three-survey system used for the exercise. The data editing is in 2 phases namely manual editing before the data entry were done. This involved using editors at the various zones to manually edit and ensure consistency in the information on the questionnaire. The second editing is the computer editing, this is the cleaning of the already enterd data. The completed questionnaires were collected and edited manually (a) Office editing and coding were done by the editor using visual control of the questionnaire before data entry (b) Cspro was used to design the data entry template provided as external resource (c) Ten operator plus two suppervissor and two progammer were used (d) Ten machines were used for data entry (e) After data entry data entry supervisor runs fequency on each section to see that all the questionnaire were enterd

Response rate

The response rate at EA level was 100 percent, while 99.3 percent was recorded at housing units level.

Sampling error estimates

No computation of sampling error

Data appraisal

The Quality Control measures were carried out during the survey, essentially to ensure quality of data. There were two levels of supervision involving the supervisors at the first level, NBS State Officers and Zonal Controllers at second level and finally the NBS Headquarters staff constituting the second level supervision.

This dataset presents the assessment tool used to analyze 20 Data Management Plan (DMP) templates on the Argos platform, along with the pre-print of the manuscript for an article that is about to be published in the Journal Biblios of the University of Pittsburgh. The main objective of this study was to investigate the need to implement a DMP at Universidad Centroamericana José Simeón Cañas (UCA) to improve accessibility, discovery, and reuse of research. Using a qualitative case study methodology, we worked with 10 selected research groups to evaluate and adapt a base model for the DMP. The results indicated a significant improvement in research data management and a positive perception from users regarding the processing and organization of their data. This set includes the DMP format generated for UCA, as well as recommendations for other institutions interested in adopting similar data management practices, contributing to the continued growth of scholarly output and the ethical and..., Method: A qualitative case study methodology was employed, which included participant observation of researchers and administrative staff from various 2024 research groups, along with an analysis of documentation and LibGuides. A benchmarking process was also conducted, comparing 20 PGDI templates to extract the best structure and practices from various research institutions. Content analysis: This method was used to examine a set of 20 PGDI templates from the ARGOS initiative, a platform developed by OpenAIRE and EUDAT for planning and managing research data. A systematic review of the structure and content of each of these templates was conducted, assessing the clarity, consistency, and adequacy of the information presented. Through this content analysis, key elements were identified that needed to be incorporated or improved in the base template provided to UCA research groups. This process allowed us to highlight best practices and identify areas that required additional attention, ..., , # Data from: Data management plan (DMP): Towards more efficient scientific management at the Universidad Centroamericana José Simeón Cañas

https://doi.org/10.5061/dryad.1zcrjdg25

Description of the Data and File Structure

README for the Dataset: Implementation of a Data Management Plan (DMP)

Dataset Description

This dataset includes the evaluation instrument used to analyze 20 Data Management Plan (DMP) templates on the Argos platform. Additionally, the pre-print of the manuscript of the article that is set to be published in the Journal Biblios at the University of Pittsburgh has been attached. Furthermore, the format of the Data Management Plan generated for the Universidad Centroamericana José Simeón Cañas (UCA), developed from this research, is included.

Objective

The primary objective of this study was to investigate the need to implement a Data Management Plan (DMP) to improve the accessibility, discoverability...

This is the data set for a series of interviews in chemistry on data management (plans) and presents interim results. A more detailed analysis and description can be found in the paper "Road to a Chemistry-specific Data Management Plan" submitted to Data Science Journal (2022-12-15). The interview series will continue in 2023 and final results will be published later in 2023. The aim of the conducted interview series is the enrichment of the online survey data from the RDA WG Discipline-specific Guidance for DMP and in a second step the development of a chemistry-specific data management plan template. For this purpose, the current status of data management as well as information about the workflows in the various chemical disciplines were requested in a personal interview with 22 participants so far. All the gathered information and examples will be used to develop a DMP template or guide in line with chemistry-specific requirements. The results provide a comprehensive outlook on the future developments of RDM in chemistry. Possible strategies for implementation are also discussed.

A Data Collection and Manipulation Template for MAED (Model for Analysis of Energy Demand).

Abstract

The Socio Economic Private Farmer Survey (CROP) is part of the brainchild of the National Bureau of Statistics (NBS) and is often referred to as a regular survey carried out on annual basis by the NBS over the years. In recent times, starting from 2004, there has been a collaborative effort between the NBS and the CBN in 2004 and 2005 till now the collaboration incorporated Nigerian Communications commission (NCC). The main reason of for conducting the survey was to enable the collaborating agencies fulfill their mandate in the production of current and credible statistics, to monitor and evaluate the status of the economy and the various government programmes such as the National Economic Empowerment and Development Strategy (NEEDS) and the Millennium Development Goals (MDGs).

The collaborative survey also assured the elimination of conflicts in data generated by the different agencies and ensured a reliable, authentic national statistics for the country.

Geographic coverage

National

Analysis unit

Household who engage in crop farming

Universe

The survey covered all the household members who were into crop production.

Kind of data

Sample survey data [ssd]

Sampling procedure

National Agricultural Sample Survey (Private Farmers Questionnaire Survey) samples were derived from the National Bureau of Statistics 2000/05 NISH sample design. The NISH employed a 2-stage, replicated and rotated cluster sample design with enumeration areas (EAs) as first stage sampling units [Primary Sampling Units (PSU)], while the housing units constituted the second stage sampling units [Secondary Sampling Units]. The housing units were the ultimate sampling units for the multi-subject survey.

The Private Farmers' Survey total sample size was 10,950 Farming Housing Units. In each State, the housing units were stratified into Farming and Non-Farming. Five housing units were systematically selected in each Enumeration Area. A sample size of 300 farming housing units was drawn from each State and 150 from FCT, Abuja. The total sample size of 10,950 could provide estimates at national and State levels.

For the NASS (Private Farmers), 5 farming housing Unit (FHUs) were selected systematically after stratifying the housing units into farming and non-farming housing units where all the holders within the selected farming housing units were interviewed using the private farmers questionnaires.

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaire for the Socio Economic Private Farmers Survey (CROP) is a structured questionnaire based on household characteristics with some modifications and additions.

Cleaning operations

The data processing and analysis plan involved five main stages: training of data processing staff; manual editing and coding; development of data entry programme; data entry and editing and tabulation. Integrated Micro Prossor System (IMPS) and ACCESS software were used for data entry, Statistical Package for Social Sciences (SPSS) and Censuses and Surveys Processing System (CSPro) for editing and a combination of SPSS, Statistical Analysis Software (SAS) and EXCEL for table generation. The subject-matter specialists and computer personnel from the NBS and CBN implemented the data processing work. Tabulation Plans were equally developed by these officers for their areas and topics covered in the three-survey system used for the exercise.

The data editing is in 2 phases namely manual editing before the data entry were done. This involved using editors at the various zones to manually edit and ensure consistency in the information on the questionnaire. The second editing is the computer editing, this is the cleaning of the already enterd data.

The completed questionnaires were collated and edited manually using the following process: (a) Office editing and coding were done by the editor using visual control of the questionnaire before data entry (b) IMPS was used to design the data entry template provided as external resource (c) Ten operator plus two suppervissor and two progammer were used (d) Ten machines were used for data entry (e) After data entry data entry supervisor runs fequency on each section to see that all the questionnaire were enterd (f) Conversion progarm was written to convert the data to spss also provided

In this open data set you will receive part of the raw data from the interim report "Inventory Analysis of the Mobility Master Plan Münster 2035+" in machine-readable format as a CSV file and as an Excel file.

Information on the content of the data

Various tables and visualizations of the inventory analysis were created from the raw data provided here. The files contain the following information (per district):

• Modal split (domestic traffic)
• Frequent trips and time budget
• Availability of means of transport

"Modal Split" is the English term for the choice of transport. This includes the percentage shares of the individual means of transport in the daily trips or in the daily traffic performance.

"Internal traffic" means traffic whose start and destination is within the city of Münster, in contrast to source and destination traffic via beyond the city limits. In domestic traffic, distances are covered more often by bike and foot than in regional traffic. However, regional traffic ("not domestic traffic") has a significant impact on the overall modal split due to its magnitude (about 360,000 passenger journeys per day).

This data comes from the mobility survey conducted in November 2019 was carried out as a cross-sectional survey of the traffic behavior of the Münster population on workdays.

More detailed information on the individual columns is available on the download page for the CSV file (if you click on the title of the CSV file below).< /p>

Information on the files and file formats

The following file formats are available for download on this page:

• The CSV The file is optimized for programmatic evaluation and contains one feature per column and one district per row.
• The Excel file provides a more visual approach to the data: in a single spreadsheet are multiple tables for each district and districts.

You will also find below the interim report "Assessment of the Mobility Master Plan Münster 2035+" as a PDF file for download. The document provides more background information on the data provided. Visualizations of the data can also be found there from page 115 in the chapter "Mobility Master Plan Münster 2035+ - Supplementary evaluations for the mobility survey".

The PDF file also contains other interesting tables and diagrams on the mobility behavior of the people of Münster . However, the raw data used there is very heterogeneous, comes from different sources and the data is best understood in connection with the explanatory texts, which is why they are not also offered in machine-readable format as an open data download.

The data on commuter flows shown in the interim report can be found on the following page: https://www.pendleratlas.nrw.de/< /p>

Further information on the Mobility 2035+ Master Plan is available in the City of Münster's information system in the documents or attachments to the template "Mobility Master Plan Münster 2035+ (V/0802/2017)".

The Comprehensive Capital Analysis and Review (CCAR) is an annual exercise by the Federal Reserve to assess whether the largest bank holding companies operating in the U.S. have sufficient capital to continue operations throughout times of economic and financial stress and that they have robust, forward-looking capital-planning processes that account for their unique risks. As part of this exercise, the Federal Reserve evaluates institutions' capital adequacy, internal capital adequacy assessment processes, and their individual plans to make capital distributions, such as dividend payments or stock repurchases.

Final Report: Evaluation of Pedestrian Hybrid Beacons on Arizona Highways, 2022 template

Tech Memo 1: Task 2: Review Literature and Existing Guidelines

Tech Memo 2: Task 3.1: Preliminary Site Selection and Draft Data Collection Plan

Tech Memo 3: Task 3.2: Operational Data Analysis

Tech Memo 4: Task 4.2: Safety Analysis

Tech Memo 5: Task 5: Develop Recommendations and Guidelines

Tech Memo 6: Task 6: Develop Suggested Implementation Plan

Compendium

Research Brief

Operations Data

Cross-Sectional Safety Database

Background for the study Systematic reviews are an important type of evidence to inform clinical practice guidelines in health care. They synthesise all available primary research to provide a more reliable estimate of effectiveness and risk factors among others. Next to the transparent reporting of each phase of the review, the literature search to retrieve all evidence is a crucial component of a systematic review. When the search is of poor quality, the process might not identify all available data for analysis. The following phases such as screening, data extraction, assessing study quality and synthesising data depend on identifying relevant studies. As a result of a poorly executed search, the systematic review might be biased, might lack information and might misinform its users. There are several guiding documents to aid researchers to make systematic reviews of good quality, such as methodological handbooks for conducting the research, reporting guidelines for writing a systematic review and checklists for appraising the quality of systematic reviews. Reporting guidelines There are several checklists for evaluating the methodological quality of systematic reviews, such as Risk of Bias Assessment Tool for Systematic Reviews (ROBIS), A MeaSurement Tool to Assess systematic Reviews 2 (AMSTAR2) and Critical Appraisal Skills Programme (CASP) Checklists. These consist of several items for assessing the methodological aspects of a systematic review, including the literature search. Even though there are plenty of resources on how to conduct, report or assess systematic reviews, papers with poor quality searches are still being published. The low quality relates to both the execution (Faggion et al., 2013; Franco et al., 2018; Koffel & Rethlefsen, 2016; Mullins et al., 2014; Opheim et al., 2019; Salvador-Olivan et al., 2019; Sampson & McGowan, 2006; Yoshii et al., 2009) and reporting of the search (Faggion et al., 2013; Faggion et al., 2018; Koffel & Rethlefsen, 2016; Mullins et al., 2014). Other guiding documents document searches in general, such as publishing organisations’ ethical guidelines, e.g. the International Committee of Medical Journal Editors (ICMJE) and the Committee on Publication Ethics (COPE) guidelines. These committees encourage journals to instruct authors to follow established guidelines for research, and to state how research data is located, selected and analysed. Furthermore, research methods should be described so that it is possible to reproduce the results (International Committee of Medical Journal Editors, 2022). In addition to the general reporting guidelines, researchers should follow the author instructions as provided by the journals. There are several studies investigating the uptake of reporting guidelines (Page & Moher, 2017) and the expectations to report statistics in journals (Blann & Nation, 2009; Giofre et al., 2017). There are two surveys investigating the role of author instructions on reporting of systematic searches. Biocic et al. (2019) investigated, among other things, the systematic review search methods requirements listed in the author instructions from 26 journals. 46% of the journals mentioned reporting guidelines, and 19% gave additional instructions on reporting of search methods. Unfortunately, the details of these instructions have not been published. Goldberg et al. (2022) assessed author instructions in a sample of publications from one US university. Their sample consisted of 145 unique journals, of which they found 60% to be addressing reporting guidelines. Only 9% of author instructions mentioned searching more than two databases and 5% recommended working with a librarian when doing a systematic review. As the sample of journals was selected based on publications from only one university, the results may lack transferability to a more general medical and health context.

In this study, we want to further explore the role of academic journals – in the field of medicine and health – in guiding authors to report systematic review searches. We will do this by reviewing the information in the author instructions from a bigger and wider sample than the two studies previously mentioned. We also want to analyse in more detail the instructions on the information retrieval process, which is different to the research from Goldberg et al. (2022) and Biocic et al. (2019).

Aim of the study The aim of this study is to map to what degree the author instructions of medical and health related journals encourage reporting of systematic review searches. We aim to answer the following research questions: 1. Do journals’ author instructions include a section on reporting literature searches for systematic reviews? Are these instructions based on internationally accepted guidelines (e.g. Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) statement or Methodological Expectations of Cochrane Intervention Reviews (MECIR) standards) or in-house guidelines? Is it recommended or required to follow the guidelines when submitting a manuscript? 2. Do the author instructions include a procedure used by journal editors to verify if the prescribed reporting guidelines were followed (e.g. submitting a completed PRISMA checklist upon submission of the manuscript)? 3. Do the author instructions recommend involving an information specialist or medical librarian when creating the search strategy, or do they mention consulting one during peer review of systematic reviews? 4. Do the journals’ author instructions describe a procedure for registering a systematic review protocol? If so, is it recommended or mandatory to register a protocol?

Abstract

The 2000 Health Survey in the West Bank and Gaza Strip (MICS2) provides reliable estimates for several indicators, which were suggested to Palestinian Central Bureau of Statistics (PCBS) by decision makers, planners, and researchers in the field of health through a series of "User-Producer Dialogue"workshops. The survey includes also the indicators of the "End of Decade Goals Survey, MICS2" which were developed in cooperation with UNICEF, and the indicators of the "Baseline Health Survey" which were developed in cooperation with UNFPA.

The 2000 Health Survey in the West Bank and Gaza Strip was implemented on the eve of the INTIFADA in Palestine. The release of this report comes after less than three months since the beginning of the uprising. There is documented evidence that up to this time in the life of the INTIFADA, more than 100 Palestinian children have been killed and more than 3,500 are injured by the Israeli army and the Israeli settlers. International as well as local specialized agencies have indicated that hundreds of thousands of Palestinian children have been deeply affected psychologically by the events. The Israeli harsh measures and their continued aggression against the Palestinian population have left thousands of Palestinian households with no means of protection or support for their children. In view of these tragic developments, the results of this Survey could be used as a fairly good and reliable baseline to compare with when studying the impact of Israeli measures and actions against Palestinian children and households.

The Health Survey of 1996 and the Demographic Survey of 1995 were among the pioneering household surveys in the establishment phase of Palestinian Central Bureau of Statistics (PCBS). The two surveys where complementary to each other and were designed to provide detailed accounting and baseline data and statistics on the demographic and health status of Palestinian households and individuals. An update of the health survey was deemed necessary by PCBS and the Ministry of Health in order to update the baseline data on health situation in Palestine. The current survey (the 2000 health Survey in the West Bank and Gaza Strip) comes as a timely update ofthe various indicators, which were measured by the previous surveys, and as an answer to the statistical needs of the planners within government, NGO's, and specialized international agencies which are mandated to work in Palestine. This survey is in fact a realization of a partnership, which was formulated between PCBS, Ministry of Health, UNFPA and UNICEF in order to pool the demand side on data and produce a relevant data set for various stakeholders. The survey has tried to provide estimates for many indicators within the framework of UNICEF's efforts to support countries to come up with assessment of End Decade Goals as set out by UNICEF. It also tried to come up with the baseline data, which could be used in drafting a country strategy and a CPA exercise by UNFPA. The survey has also tried to provide enough details to allow the Ministry of Health finalize its strategic plan.

Geographic coverage

National

Analysis unit

• Individuals
• Households

Universe

The survey covered all de jure household members (usual residents), all women aged 15-54 years, all children aged 5-17 years and under 5 living in the household.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample design of the 2000 Health Survey in the West Bank and Gaza Strip (MICS) takes into account the main recommendations of UNICEF for this type of surveys.

The sample provides a subsample of household that receives health services from the Ministry of Health clinics.

The target population consists of all Palestin_ian households that usually reside in the Palestinian Territory. This type of survey concentrates on 2 subpopulations. the first one is ever-married women and aged (15-54) years. the second one is children less than 5 years.

The list of all Palestinian households has been constructed with some identification variables, after finishing the Population Census 1997 processes. The master sample was drowned to be used for different sample surveys. The master sample consists of 481-enumeration area (EA) (the average sizes about 120 households). The master sample is the sample frame of the 2000 Health Survey in the West Bank and Gaza Strip. The selected EAs were divided into small units called cells (with average size of 25 households). One cell per EA was selected.

Different criteria were taken into account when sample size was determined. The level of sampling error for the main indicators was considered, the result could be published at 3 subpopulations. and 10% incomplete questionnaire was assumed. The overall sample was 272 EAs, 178 in the West Bank and 94 in Gaza Strip. The Sample cells increased to 288 cells. 194 in West Bank and 94 in Gaza Strip. The number of households in the sample was 6,349 households, 4,295 in the West Bank and 2,054 in Gaza Strip.

The sample is a stratified multi-stage random sample.

Stratification: Four levels of stratification were made: 1. Stratification by governorates. 2. Stratification by place of residence which comprised: (a) Urban (b) Rural (c) Refugee Camps 3. Stratification by classifying localities, excluding governorate capitals, into three strata based on the ownership of households within these localities of durable goods. 4. Stratification by size locality (number of households).

A compact cluster design was adopted because the sample frame was old. As mentioned above, the first sampling units were divided into small units (cells). Then one cell from each EA was randomly selected.

For that part of Jerusalem, which was annexed after 1967 war, a list of households for the EAs in the frame was completed in 1999. Therefore a compact cluster design was not used in this part, and a random of households from the EAs was selected.

First stage sampling units are the area units (EAs) in the master sample. The second stage-sampling units are cells.

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaire was developed by the Palestinian Central Bureau of Statistics after revision and adaptation of the following standard questionnaires: 1. The Health Survey questionnaire, which implemented by Palestinian Central Bureau of Statistics in 1996. 2. Demographic Survey questionnaire, which implemented by Palestinian Central Bureau of Statistics in 1995. 3. UNICEF questionnaire for Multiple Indicator Cluster Survey (MICS II). 4. Standard Demographic and Health survey questionnaire. 5. Other Demographic and Health Survey questionnaire (DHS).

The health survey - 2000 questionnaire consist of three main parts:

1. Household questionnaire which includes the following sections:
2. Control Sheet: which includes items related to quality control sample identification, interview schedule and interview results.
3. Household Roster: includes demographic variables such as age, sex, relation to head of household, date ofbirth and health variables such as health insurance and smoking.

4. Housing section: includes questions on housing conditions, such as water sanitation and iodized salt.

5. Women's Health questionnaire: this questionnaire was designed to collect data for all ever- married women aged less than 55 years, it consists of seven sections:

6. Reproduction.

7. Family planning.

8. Antenatal care and Breastfeeding.

9. Tetanus Toxoid Vaccination.

10. Desire of Reproduction.

11. Public Health and Health Awareness.

12. Knowledge of HIV.

13. Child Health Questionnaire: This module consists of six sections:

14. Birth Registration for children under five years.

15. Child Education for children aged 5-17 years .

16. Child Labor for children aged 5-17 years.

17. Child Health and Child Immunization for children under five years.

18. Child Ophthalmic Health for children under five years.

19. Anthropometry for children under five years.

Cleaning operations

IMPS was used in data entry. Data entry was organized in a number of files, corresponding to the main parts of the questionnaire.

A data entry template was designed to reflect an exact image of the questionnaire, and included various electronic checks: logical check, consisting checks and cross-validation. Continuously thorough checks on the overall consistency of the data files and sample allocation were sent back to the field for corrections.

Data entry started on may 18, 2000 and finished on June 8, 2000. Data cleaning and checking processes were initiated simultaneously with the data entry. Thorough data quality checks and consistency checks were carried out.

Final tabulation of results was performed using statistical package SPSS for Windows (version 8.0) and specialized health and demographic analysis programs.

Response rate

Overall 94.0% of the questionnaires were completed. 93.3% in the West Bank, and 95.5% in Gaza Strip. The response rate was about 97.7%, it was 96.9% in the West Bank and 99.3% in Gaza Strip.

Sampling error estimates

Since the data reported here are based on a sample survey and not on complete enumeration. They are subject to two main types of errors: sampling rrrors and non-sampling errors.

Sampling errors are random outcomes of the sample design, and are, therefore, easily measurable.

Non-sampling errors can occur at the various stages of the survey implementatipn in data collection and data processing, and are generally difficult to be evaluated statistically. They cover a wide range of errors, including errors resulting from non-response, sample frame

Abstract

The Multiple Indicator Cluster Survey (MICS) is a household survey programme developed by UNICEF to assist countries in filling data gaps for monitoring human development in general and the situation of children and women in particular. MICS is capable of producing statistically sound, internationally comparable estimates of social indicators. The Viet Nam Multiple Indicator Cluster Survey provides valuable information on the situation of children and women in Viet Nam, and was based, in large part, on the needs to monitor progress towards goals and targets emanating from recent international agreements: the Millennium Declaration, adopted by all 191 United Nations Member States in September 2000, and the Plan of Action of A World Fit For Children, adopted by 189 Member States at the United Nations Special Session on Children in May 2002. Both of these commitments build upon promises made by the international community at the 1990 World Summit for Children.

Survey Objectives: The 2006 Viet Nam Multiple Indicator Cluster Survey has as its primary objectives: - To provide up-to-date information for assessing the situation of children and women in Viet Nam; - To furnish data needed for monitoring progress toward goals established by the Millennium Development Goals, the goals of A World Fit For Children (WFFC), and other internationally agreed upon goals, as a basis for future action; - To provide valuable information for the 3rd and 4th National Report of Vietnam's implementation of the Convention on the child rights in the period 2002-2007 as well as for monitoring the National Plan of Action for Children 2001-2010.
- To contribute to the improvement of data and monitoring systems in Viet Nam and to strengthen technical expertise in the design, implementation, and analysis of such systems.

Survey Content Following the MICS global questionnaire templates, the questionnaires were designed in a modular fashion customized to the needs of Viet Nam. The questionnaires consist of a household questionnaire, a questionnaire for women aged 15-49 and a questionnaire for children under the age of five (to be administered to the mother or caretaker).

Survey Implementation The Viet Nam Multiple Indicator Cluster Survey (MICS) was carried by General Statistics Office of Viet Nam (GSO) in collaboration with Viet Nam Committee for Population, Family and Children (VCPFC). Financial and technical support was provided by the United Nations Children's Fund (UNICEF). Technical assistance and training for the survey was provided through a series of regional workshops organised by UNICEF covering questionnaire content, sampling and survey implementation; data processing; data quality and data analysis; report writing and dissemination.

Geographic coverage

The survey is nationally representative and covers the whole of Viet Nam.

Analysis unit

Households (defined as a group of persons who usually live and eat together)

Household members (defined as members of the household who usually live in the household, which may include people who did not sleep in the household the previous night, but does not include visitors who slept in the household the previous night but do not usually live in the household)

Women aged 15-49

Children aged 0-4

Universe

The survey covered all de jure household members (usual residents), all women aged 15-49 years resident in the household, and all children aged 0-4 years (under age 5) resident in the household.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample for the Viet Nam Multiple Indicator Cluster Survey (MICS) was designed to provide reliable estimates on a large number of indicators on the situation of children and women at the national level, for urban and rural areas, and for 8 regions: Red River Delta, North West, North East, North Central Coast, South Central Coast, Central Highlands, South East, and Mekong River Delta. Regions were identified as the main sampling domains and the sample was selected in two stages. At the first stage 250 census enumeration areas (EA) were selected, of which all 240 EAs of MICS2 with systematic method were reselected and 10 new EAs were added. The addition of 10 more EAs (together with the increase in the sample size) was to increase the reliability level for regional estimates. Consequently, within each region, 30-33 EAs were selected for MICS3. After a household listing was carried out within the selected enumeration areas, a systematic sample of 1/3 of households in each EA was drawn. The survey managed to visit all of 250 selected EAs during the fieldwork period. The sample was stratified by region and is not self-weighting. For reporting national level results, sample weights are used. A more detailed description of the sample design can be found in the technical documents and in Appendix A of the final report.

Sampling deviation

No major deviations from the original sample design were made. All sample enumeration areas were accessed and successfully interviewed with good response rates.

Mode of data collection

Face-to-face

Research instrument

The questionnaires are based on the MICS3 model questionnaire. From the MICS3 model English version, the questionnaires were translated in to Vietnamese and were pretested in one province (Bac Giang) during July 2006. Based on the results of this pre-test, modifications were made to the wording and translation of the questionnaires.

Cleaning operations

Data processing began simultaneously with data collection in September, 2006 and was completed in April, 2007.

Data were processed in clusters, with each cluster being processed as a complete unit through each stage of data processing. Each cluster goes through the following steps: 1) Questionnaire reception 2) Office editing and coding 3) Data entry 4) Structure and completeness checking 5) Verification entry 6) Comparison of verification data 7) Back up of raw data 8) Secondary editing 9) Edited data back up After all clusters are processed, all data is concatenated together and then the following steps are completed for all data files: 10) Export to SPSS in 4 files (hh - household, hl - household members, wm - women, ch - children under 5) 11) Recoding of variables needed for analysis 12) Adding of sample weights 13) Calculation of wealth quintiles and merging into data 14) Structural checking of SPSS files 15) Data quality tabulations 16) Production of analysis tabulations

Details of each of these steps can be found in the data processing documentation, data editing guidelines, data processing programs in CSPro and SPSS, and tabulation guidelines in the MICS manual http://www.childinfo.org/mics/mics3/manual.php

Data editing took place at a number of stages throughout the processing (see Other processing), including: a) Office editing and coding b) During data entry c) Structure checking and completeness d) Secondary editing e) Structural checking of SPSS data files

Detailed documentation of the editing of data can be found in the data processing guidelines in the MICS manual http://www.childinfo.org/mics/mics3/manual.php.

Response rate

8356 households were selected for the sample. Of these all were found to be occupied households and 8355 were successfully interviewed for a response rate of 100%. Within these households, 10063 eligible women aged 15-49 were identified for interview, of which 9473 were successfully interviewed (response rate 94.1%), and 2707 children aged 0-4 were identified for whom the mother or caretaker was successfully interviewed for 2680 children (response rate 99%).

Sampling error estimates

Estimates from a sample survey are affected by two types of errors: 1) non-sampling errors and 2) sampling errors. Non-sampling errors are the results of mistakes made in the implementation of data collection and data processing. Numerous efforts were made during implementation of the MICS - 3 to minimize this type of error, however, non-sampling errors are impossible to avoid and difficult to evaluate statistically.

Sampling errors can be evaluated statistically. The sample of respondents to the MICS - 3 is only one of many possible samples that could have been selected from the same population, using the same design and expected size. Each of these samples would yield results that different somewhat from the results of the actual sample selected. Sampling errors are a measure of the variability in the results of the survey between all possible samples, and, although, the degree of variability is not known exactly, it can be estimated from the survey results. The sampling errors are measured in terms of the standard error for a particular statistic (mean or percentage), which is the square root of the variance. Confidence intervals are calculated for each statistic within which the true value for the population can be assumed to fall. Plus or minus two standard errors of the statistic is used for key statistics presented in MICS, equivalent to a 95 percent confidence interval.

If the sample of respondents had been a simple random sample, it would have been possible to use straightforward formulae for calculating sampling errors. However, the MICS - 3 sample is the result of a two-stage stratified design, and consequently needs to use more complex formulae. The SPSS complex samples module has been used to calculate sampling errors for the MICS - 3. This module uses the Taylor linearization method of variance estimation for survey estimates that are means or proportions. This method is

Abstract

The Thai Demographic and Health Survey (TDHS) was a nationally representative sample survey conducted from March through June 1988 to collect data on fertility, family planning, and child and maternal health. A total of 9,045 households and 6,775 ever-married women aged 15 to 49 were interviewed. Thai Demographic and Health Survey (TDHS) is carried out by the Institute of Population Studies (IPS) of Chulalongkorn University with the financial support from USAID through the Institute for Resource Development (IRD) at Westinghouse. The Institute of Population Studies was responsible for the overall implementation of the survey including sample design, preparation of field work, data collection and processing, and analysis of data. IPS has made available its personnel and office facilities to the project throughout the project duration. It serves as the headquarters for the survey.

The Thai Demographic and Health Survey (TDHS) was undertaken for the main purpose of providing data concerning fertility, family planning and maternal and child health to program managers and policy makers to facilitate their evaluation and planning of programs, and to population and health researchers to assist in their efforts to document and analyze the demographic and health situation. It is intended to provide information both on topics for which comparable data is not available from previous nationally representative surveys as well as to update trends with respect to a number of indicators available from previous surveys, in particular the Longitudinal Study of Social Economic and Demographic Change in 1969-73, the Survey of Fertility in Thailand in 1975, the National Survey of Family Planning Practices, Fertility and Mortality in 1979, and the three Contraceptive Prevalence Surveys in 1978/79, 1981 and 1984.

Geographic coverage

National

Analysis unit

• Household
• Women age 15-49

Universe

The population covered by the 1987 THADHS is defined as the universe of all women Ever-married women in the reproductive ages (i.e., women 15-49). This covered women in private households on the basis of a de facto coverage definition. Visitors and usual residents who were in the household the night before the first visit or before any subsequent visit during the few days the interviewing team was in the area were eligible. Excluded were the small number of married women aged under 15 and women not present in private households.

Kind of data

Sample survey data

Sampling procedure

SAMPLE SIZE AND ALLOCATION

The objective of the survey was to provide reliable estimates for major domains of the country. This consisted of two overlapping sets of reporting domains: (a) Five regions of the country namely Bangkok, north, northeast, central region (excluding Bangkok), and south; (b) Bangkok versus all provincial urban and all rural areas of the country. These requirements could be met by defining six non-overlapping sampling domains (Bangkok, provincial urban, and rural areas of each of the remaining 4 regions), and allocating approximately equal sample sizes to them. On the basis of past experience, available budget and overall reporting requirement, the target sample size was fixed at 7,000 interviews of ever-married women aged 15-49, expected to be found in around 9,000 households. Table A.I shows the actual number of households as well as eligible women selected and interviewed, by sampling domain (see Table i.I for reporting domains).

THE FRAME AND SAMPLE SELECTION

The frame for selecting the sample for urban areas, was provided by the National Statistical Office of Thailand and by the Ministry of the Interior for rural areas. It consisted of information on population size of various levels of administrative and census units, down to blocks in urban areas and villages in rural areas. The frame also included adequate maps and descriptions to identify these units. The extent to which the data were up-to-date as well as the quality of the data varied somewhat in different parts of the frame. Basically, the multi-stage stratified sampling design involved the following procedure. A specified number of sample areas were selected systematically from geographically/administratively ordered lists with probabilities proportional to the best available measure of size (PPS). Within selected areas (blocks or villages) new lists of households were prepared and systematic samples of households were selected. In principle, the sampling interval for the selection of households from lists was determined so as to yield a self weighting sample of households within each domain. However, in the absence of good measures of population size for all areas, these sampling intervals often required adjustments in the interest of controlling the size of the resulting sample. Variations in selection probabilities introduced due to such adjustment, where required, were compensated for by appropriate weighting of sample cases at the tabulation stage.

SAMPLE OUTCOME

The final sample of households was selected from lists prepared in the sample areas. The time interval between household listing and enumeration was generally very short, except to some extent in Bangkok where the listing itself took more time. In principle, the units of listing were the same as the ultimate units of sampling, namely households. However in a small proportion of cases, the former differed from the latter in several respects, identified at the stage of final enumeration: a) Some units listed actually contained more than one household each b) Some units were "blanks", that is, were demolished or not found to contain any eligible households at the time of enumeration. c) Some units were doubtful cases in as much as the household was reported as "not found" by the interviewer, but may in fact have existed.

Mode of data collection

Face-to-face

Research instrument

The DHS core questionnaires (Household, Eligible Women Respondent, and Community) were translated into Thai. A number of modifications were made largely to adapt them for use with an ever- married woman sample and to add a number of questions in areas that are of special interest to the Thai investigators but which were not covered in the standard core. Examples of such modifications included adding marital status and educational attainment to the household schedule, elaboration on questions in the individual questionnaire on educational attainment to take account of changes in the educational system during recent years, elaboration on questions on postnuptial residence, and adaptation of the questionnaire to take into account that only ever-married women are being interviewed rather than all women. More generally, attention was given to the wording of questions in Thai to ensure that the intent of the original English-language version was preserved.

a) Household questionnaire

The household questionnaire was used to list every member of the household who usually lives in the household and as well as visitors who slept in the household the night before the interviewer's visit. Information contained in the household questionnaire are age, sex, marital status, and education for each member (the last two items were asked only to members aged 13 and over). The head of the household or the spouse of the head of the household was the preferred respondent for the household questionnaire. However, if neither was available for interview, any adult member of the household was accepted as the respondent. Information from the household questionnaire was used to identify eligible women for the individual interview. To be eligible, a respondent had to be an ever-married woman aged 15-49 years old who had slept in the household 'the previous night'.

Prior evidence has indicated that when asked about current age, Thais are as likely to report age at next birthday as age at last birthday (the usual demographic definition of age). Since the birth date of each household number was not asked in the household questionnaire, it was not possible to calculate age at last birthday from the birthdate. Therefore a special procedure was followed to ensure that eligible women just under the higher boundary for eligible ages (i.e. 49 years old) were not mistakenly excluded from the eligible woman sample because of an overstated age. Ever-married women whose reported age was between 50-52 years old and who slept in the household the night before birthdate of the woman, it was discovered that these women (or any others being interviewed) were not actually within the eligible age range of 15-49, the interview was terminated and the case disqualified. This attempt recovered 69 eligible women who otherwise would have been missed because their reported age was over 50 years old or over.

b) Individual questionnaire

The questionnaire administered to eligible women was based on the DHS Model A Questionnaire for high contraceptive prevalence countries. The individual questionnaire has 8 sections: - Respondent's background - Reproduction - Contraception - Health and breastfeeding - Marriage - Fertility preference - Husband's background and woman's work - Heights and weights of children and mothers

The questionnaire was modified to suit the Thai context. As noted above, several questions were added to the standard DHS core questionnaire not only to meet the interest of IPS researchers hut also because of their relevance to the current demographic situation in Thailand. The supplemental questions are marked with an asterisk in the individual questionnaire. Questions concerning the following items were added in the individual questionnaire: - Did the respondent ever