13 استانها · 94 سایر
توضیحات
زیرمنطقهها
پروژه داده
The Labour Force Survey (LFS) is a monthly survey of Canadian households carried out by Statistics Canada. It was developed after the Second World War to satisfy a need for reliable and timely data on the labour market due to the massive labour market changes involved in the transition from a war to peace-time economy. The objectives of the LFS have been to divide the working-age population into three mutually exclusive labour force status categories (employed, unemployed, and not in the labour force) and to provide descriptive and explanatory data on each of these groups. With the release of the survey results only 10 days after the completion of data collection, the LFS estimates are the first of the major monthly economic data series to be released. The LFS is the source of Canada's official unemployment rates, including the rates used by Employment and Social Development Canada in the calculation of Employment Insurance (EI) eligibility and benefit criteria. Data from the survey also provide information on major labour market trends, such as shifts in employment across industrial sectors, hours worked and labour force participation.
پروژه داده
The Labour Force Survey (LFS) is a monthly survey of Canadian households carried out by Statistics Canada. It was developed after the Second World War to satisfy a need for reliable and timely data on the labour market due to the massive labour market changes involved in the transition from a war to peace-time economy. The objectives of the LFS have been to divide the working-age population into three mutually exclusive labour force status categories (employed, unemployed, and not in the labour force) and to provide descriptive and explanatory data on each of these groups. With the release of the survey results only 10 days after the completion of data collection, the LFS estimates are the first of the major monthly economic data series to be released. The LFS is the source of Canada's official unemployment rates, including the rates used by Employment and Social Development Canada in the calculation of Employment Insurance (EI) eligibility and benefit criteria. Data from the survey also provide information on major labour market trends, such as shifts in employment across industrial sectors, hours worked and labour force participation.
پروژه داده
The Labour Force Survey (LFS) is a monthly survey of Canadian households carried out by Statistics Canada. It was developed after the Second World War to satisfy a need for reliable and timely data on the labour market due to the massive labour market changes involved in the transition from a war to peace-time economy. The objectives of the LFS have been to divide the working-age population into three mutually exclusive labour force status categories (employed, unemployed, and not in the labour force) and to provide descriptive and explanatory data on each of these groups. With the release of the survey results only 10 days after the completion of data collection, the LFS estimates are the first of the major monthly economic data series to be released. The LFS is the source of Canada's official unemployment rates, including the rates used by Employment and Social Development Canada in the calculation of Employment Insurance (EI) eligibility and benefit criteria. Data from the survey also provide information on major labour market trends, such as shifts in employment across industrial sectors, hours worked and labour force participation.
پروژه داده
The Labour Force Survey (LFS) is a monthly survey of Canadian households carried out by Statistics Canada. It was developed after the Second World War to satisfy a need for reliable and timely data on the labour market due to the massive labour market changes involved in the transition from a war to peace-time economy. The objectives of the LFS have been to divide the working-age population into three mutually exclusive labour force status categories (employed, unemployed, and not in the labour force) and to provide descriptive and explanatory data on each of these groups. With the release of the survey results only 10 days after the completion of data collection, the LFS estimates are the first of the major monthly economic data series to be released. The LFS is the source of Canada's official unemployment rates, including the rates used by Employment and Social Development Canada in the calculation of Employment Insurance (EI) eligibility and benefit criteria. Data from the survey also provide information on major labour market trends, such as shifts in employment across industrial sectors, hours worked and labour force participation.
پروژه داده
The National Travel Survey (NTS) provides statistics on the activities of Canadian residents related to domestic and international tourism. It was developed to measure the volume, the characteristics and the economic impact of tourism. For the Canadian System of National Accounts, the NTS measures the size of domestic travel in Canada from the demand side. The NTS was developed to fully replace the Travel Survey of Residents of Canada (TSRC record number 3810) and replace the Canadian resident component of the International Travel Survey (ITS record number 3152). The NTS collects information about the domestic and international travel of Canadian residents. The visit file provides information on place(s) visited by those travellers, whether it was their main destination or an overnight stop on their journey. In addition to providing visit information, the visit file also includes reallocated household expenditures information. The visit concept is used to measure the number of person-visits to a specific location. The visit file has at least two records per visit location for every person-trip found on the-trip file (origin and destination).
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
پروژه داده
The 2012 Americas Barometer survey was conducted in Spring 2012 in 26 countries, with a total sample of 40,971 individuals (with individual country samples ranging from 1,412 in Haiti to 3,009 in Bolivia). The questionnaire consisted of a core set of questions (tailored to country-specific terminology) and was administered by a domestic research institute, in most cases university-base . In all countries except Canada and the USA, the survey was administered as in person interviews in people’s homes. The Canadian survey is an adapted version of the core version developed by LAPOP, with appropriate customization of terminology and the inclusion of additional questions of particular relevance to the Canadian context. The survey was conducted in English and French by Elemental Data Collection Inc., using an established online panel with a representative sample of 1,501 Canadians (aged 18 and over) between May 15 and 22, 2012. The sample was weighted by region, age and gender to match the country's population. The survey focuses on the following themes: • Attitudes about democracy and public institutions • Citizen engagement in the democratic process • Protection of democratic rights and freedoms • The rule of law and personal security • Government’s role in economic equality
پروژه داده
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.
پروژه داده
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پروژه داده
The World Values Survey (www.worldvaluessurvey.org) is a global network of social scientists studying changing values and their impact on social and political life, led by an international team of scholars, with the WVS association and secretariat headquartered in Stockholm, Sweden. The survey, which started in 1981, seeks to use the most rigorous, high-quality research designs in each country. The WVS consists of nationally representative surveys conducted in almost 100 countries which contain almost 90 percent of the world’s population, using a common questionnaire. The WVS is the largest non-commercial, cross-national, time series investigation of human beliefs and values ever executed, currently including interviews with almost 400,000 respondents. Moreover the WVS is the only academic study covering the full range of global variations, from very poor to very rich countries, in all of the world’s major cultural zones. The WVS seeks to help scientists and policy makers understand changes in the beliefs, values and motivations of people throughout the world. Thousands of political scientists, sociologists, social psychologists, anthropologists and economists have used these data to analyze such topics as economic development, democratization, religion, gender equality, social capital, and subjective well-being. These data have also been widely used by government officials, journalists and students, and groups at the World Bank have analyzed the linkages between cultural factors and economic development.
