7 provinces · 17 other
Description
Subregions
Data in VoxDash
Data project
Gender-based violence (GBV) is a major global public health challenge in the 21st century that poses a serious impact on women’s health and well-being. Therefore, this study aimed to assess the prevalence and factors associated with GBV among secondary school female students in the Sarlahi district of Nepal. Using a cross-sectional study, we collected data from 225 secondary-level female students in the Sarlahi district of Nepal. Data was collected by using a semi-structured, self-administered questionnaire. Probability proportionate and simple random sampling techniques were used for sampling. The association was explored by using a chi-square test and binary logistic regression. The two-tailed significance level for all analyses was set at p<0.05. The overall prevalence of GBV among the students during their lifetime was 45.33 of which physical violence was 16.89%, sexual violence was 30.22% and psychological violence was 39.56%. The prevalence of experiencing physical violence from family members was 97.36%, followed by emotional violence (41.57%). Further, the prevalence of sexual violence from non-family members was 91.17%. Type of family had a significant association with lifetime experience of GBV (p = 0.003). Gender based discrimination in the family had a significant association with lifetime (p = 0.001) as well as last 12 months (p = 0.001) GBV experience. Experience of witnessing physical violence as a child within the last 12 months was associated with GBV (p = 0.03). Different forms of GBV such as physical, sexual, and emotional acts of violence among female students were highly prevalent. However, their knowledge and awareness of confronting this issue were limited. This warrants the urgent need to establish preventive and responsive control measures within schools and communities to address GBV effectively.
Data project
Malaria remains a substantial global health challenge, causing preventable illnesses and fatalities. In Nepal, the government has ambitiously targeted achieving malaria-free status by 2025. This study aims to assess the impact of women’s roles on health-seeking behavior during suspected malaria fever in the high-risk area of Kanchanpur district, Nepal. This is a cross-sectional analytical design with a mixed-method approach, the research focused on Kanchanpur district, selected from 20 high-risk malaria districts of Nepal. Belauri Municipality within Kanchanpur, identified for its concentration of high and moderate-risk wards, was the specific study area. A random selection process identified 387 households for a comprehensive survey. Face-to-face interviews with household heads were conducted after obtaining written informed consent and ethical approval from the Nepal Health Research Council (March 3, 2023/Ref no.-2041). Data analysis, employing statistical measures such as percentages, frequency, mean, and the Chi-square test, was performed using SPSS version 20. Cultural beliefs regarding women’s use of bed nets during menstruation significantly predicted health-seeking behavior (p-value < 0.05). Those endorsing bed net use during menstruation were nearly twice as likely to choose modern health facilities (COR = 1.975, 95% C.I. = 1.134 to 3.439, p = 0.016). Women’s involvement in malaria treatment decisions strongly correlated with health-seeking behavior (p-value = 0.001). However, women participating in household decisions for suspected malaria treatment were less likely to choose modern health facilities (COR = 0.327, 95% CI = 0.171–0.627, p = 0.001) compared to those without such a role. The study underscores the complex influence of cultural beliefs and women’s decision-making roles on health-seeking behavior. Recognizing and comprehending these factors are vital for crafting effective malaria interventions that align with cultural contexts and consider the nuanced roles of women in health-related decisions.
The PISA for Development programme aims to encourage and facilitate PISA participation by interested and motivated low- and middle-income countries. From this page you can download the PISA for Development dataset with the full set of responses from: In-school assessment: individual students, school principals and teachers Out-of-school assessment: individual respondents, parents/guardians of respondents and interviewer household observations These files will be of use to statisticians and professional researchers who would like to undertake their own analysis of the PISA for Development data. The files available on this page include questionnaires, codebooks, data files in SAS™ and SPSS™ formats, database compendia and tables including system-level data and descriptive analyses that were created to support the reporting of PISA for Development results by participating countries. The main data files for each assessment relate to: In-school assessment: student questionnaire (which also includes estimates of student performance), school questionnaire, teacher questionnaire and cognitive items Out-of-school assessment: respondent questionnaires (including youth, parent/guardian and household observation questionnaires, as well as estimates of respondent performance), cognitive items and questionnaire timing These files include data for participating countries: In-school assessment: Cambodia, Ecuador, Guatemala, Honduras, Paraguay, Senegal and Zambia Out-of-school assessment: Guatemala, Honduras, Panama, Paraguay and Senegal
The PISA for Development programme aims to encourage and facilitate PISA participation by interested and motivated low- and middle-income countries. From this page you can download the PISA for Development dataset with the full set of responses from: In-school assessment: individual students, school principals and teachers Out-of-school assessment: individual respondents, parents/guardians of respondents and interviewer household observations These files will be of use to statisticians and professional researchers who would like to undertake their own analysis of the PISA for Development data. The files available on this page include questionnaires, codebooks, data files in SAS™ and SPSS™ formats, database compendia and tables including system-level data and descriptive analyses that were created to support the reporting of PISA for Development results by participating countries. The main data files for each assessment relate to: In-school assessment: student questionnaire (which also includes estimates of student performance), school questionnaire, teacher questionnaire and cognitive items Out-of-school assessment: respondent questionnaires (including youth, parent/guardian and household observation questionnaires, as well as estimates of respondent performance), cognitive items and questionnaire timing These files include data for participating countries: In-school assessment: Cambodia, Ecuador, Guatemala, Honduras, Paraguay, Senegal and Zambia Out-of-school assessment: Guatemala, Honduras, Panama, Paraguay and Senegal
The PISA for Development programme aims to encourage and facilitate PISA participation by interested and motivated low- and middle-income countries. From this page you can download the PISA for Development dataset with the full set of responses from: In-school assessment: individual students, school principals and teachers Out-of-school assessment: individual respondents, parents/guardians of respondents and interviewer household observations These files will be of use to statisticians and professional researchers who would like to undertake their own analysis of the PISA for Development data. The files available on this page include questionnaires, codebooks, data files in SAS™ and SPSS™ formats, database compendia and tables including system-level data and descriptive analyses that were created to support the reporting of PISA for Development results by participating countries. The main data files for each assessment relate to: In-school assessment: student questionnaire (which also includes estimates of student performance), school questionnaire, teacher questionnaire and cognitive items Out-of-school assessment: respondent questionnaires (including youth, parent/guardian and household observation questionnaires, as well as estimates of respondent performance), cognitive items and questionnaire timing These files include data for participating countries: In-school assessment: Cambodia, Ecuador, Guatemala, Honduras, Paraguay, Senegal and Zambia Out-of-school assessment: Guatemala, Honduras, Panama, Paraguay and Senegal
Data project
Environics Corporate Social Responsibility Monitor 2002 is a survey of global public opinion on the role of companies in society. This survey is based on the the results of face-to-face or telephone surveys with representative samples of about 1,000 citizens in each of 25 countries on six continents at varying stages of development. Research was carried out by respected social research institutes in each country between October and December 2001.
Data project
The Millennium Poll on Corporate Social Responsibility 1999 is a survey of global public opinion on the role of companies in society. This survey is based on the the results of face-to-face or telephone surveys with representative samples of about 1,000 citizens in each of 23 countries on six continents at varying stages of development.
Data project
Environics Corporate Social Responsibility Monitor 2002 is a survey of global public opinion on the role of companies in society. This survey is based on the the results of face-to-face or telephone surveys with representative samples of about 1,000 citizens in each of 25 countries on six continents at varying stages of development. The survey was fielded after September 11 in each country. Media focus on the Enron Corp. did not begin until the survey was completed in the USA.
The PISA (Programme for International Student Assessment) for Development programme aims to encourage and facilitate PISA participation by interested and motivated low- and middle-income countries. From this page you can download the PISA for Development dataset with the full set of responses from: In-school assessment: individual students, school principals and teachers Out-of-school assessment: individual respondents, parents/guardians of respondents and interviewer household observations These files will be of use to statisticians and professional researchers who would like to undertake their own analysis of the PISA for Development data. The files available on this page include questionnaires, codebooks, data files in SAS™ and SPSS™ formats, database compendia and tables including system-level data and descriptive analyses that were created to support the reporting of PISA for Development results by participating countries. The main data files for each assessment relate to: In-school assessment: student questionnaire (which also includes estimates of student performance), school questionnaire, teacher questionnaire and cognitive items Out-of-school assessment: respondent questionnaires (including youth, parent/guardian and household observation questionnaires, as well as estimates of respondent performance), cognitive items and questionnaire timing These files include data for participating countries: In-school assessment: Cambodia, Ecuador, Guatemala, Honduras, Paraguay, Senegal and Zambia Out-of-school assessment: Guatemala, Honduras, Panama, Paraguay and Senegal
Data project
The incorporation of data sharing into the research lifecycle is an important part of modern scholarly debate. In this study, the DataONE Usability and Assessment working group addresses two primary goals: To examine the current state of data sharing and reuse perceptions and practices among research scientists as they compare to the 2009/2010 baseline study, and to examine differences in practices and perceptions across age groups, geographic regions, and subject disciplines. We distributed surveys to a multinational sample of scientific researchers at two different time periods (October 2009 to July 2010 and October 2013 to March 2014) to observe current states of data sharing and to see what, if any, changes have occurred in the past 3–4 years. We also looked at differences across age, geographic, and discipline-based groups as they currently exist in the 2013/2014 survey. Results point to increased acceptance of and willingness to engage in data sharing, as well as an increase in actual data sharing behaviors. However, there is also increased perceived risk associated with data sharing, and specific barriers to data sharing persist. There are also differences across age groups, with younger respondents feeling more favorably toward data sharing and reuse, yet making less of their data available than older respondents. Geographic differences exist as well, which can in part be understood in terms of collectivist and individualist cultural differences. An examination of subject disciplines shows that the constraints and enablers of data sharing and reuse manifest differently across disciplines. Implications of these findings include the continued need to build infrastructure that promotes data sharing while recognizing the needs of different research communities. Moving into the future, organizations such as DataONE will continue to assess, monitor, educate, and provide the infrastructure necessary to support such complex grand science challenges.
