id,name,description,createdAt,updatedAt,datasetId,additionalInfo,link,dataPublishedBy
14839,OECD - Education and Training - Intergenerational mobility in education,"{""link"": ""https://stats.oecd.org/Index.aspx?DataSetCode=EAG_MOB"", ""retrievedDate"": ""16-March-18"", ""additionalInfo"": ""Data source(s) used\nData are coming from the Survey of Adult Skills, a product of the OECD Programme for the International Assessment of Adult Competencies (PIAAC)\nSurvey of Adult Skills (PIAAC)\nhttp://www.oecd.org/skills/piaac/\nContact person\nMarkus SCHWABESimon NORMANDEAU\nClassification(s) used\nEducational attainment variables are based on ISCED-97\nOther manipulations\nNon-OECD Economies are excluded from the average. Data are not diplayed when the sample size for numerator is below 3 and when the sample size for denominator is below 30.\nRecommended uses and limitations\nThe statistical estimates presented in this table are based on samples of adults, rather than values that could be calculated if every person in the target population in every country had answered every question. Therefore, each estimate has a degree of uncertainty associated with sampling and measurement error, which can be expressed as a standard error. The use of confidence intervals provides a way to make inferences about the population means and proportions in a manner that reflects the uncertainty associated with the sample estimates. In this table, there is one column with the heading “Value”, which indicates the average percentage or mean, and a column with the heading “SE”, which indicates the standard error. Given the survey method, there is a sampling uncertainty in the percentages or means of twice the standard error. For example, for the values: % = 10 and S.E. = 2.6, 10% has an uncertainty zone of twice (1.96) the standard error of 2.6, assuming an error risk of 5%. Thus, the true percentage would probably (error risk of 5%) be somewhere between 5% and 15% (“confidence interval”). The confidence interval is calculated as: % +/– 1.96 * S.E., i.e. for the previous example, 5% = 10% – 1.96 * 2.6 and 15% = 10% + 1.96 * 2.6.\nQuality comments\nWhen interpreting the results and the differences between groups a special attention should be given to the standard errors and the confidence interval.\n"", ""dataPublishedBy"": ""OECD.Stat"", ""dataPublisherSource"": null}",2018-03-16 17:18:30,2018-03-16 17:18:30,2618,"Data source(s) used
Data are coming from the Survey of Adult Skills, a product of the OECD Programme for the International Assessment of Adult Competencies (PIAAC)
Survey of Adult Skills (PIAAC)
http://www.oecd.org/skills/piaac/
Contact person
Markus SCHWABESimon NORMANDEAU
Classification(s) used
Educational attainment variables are based on ISCED-97
Other manipulations
Non-OECD Economies are excluded from the average. Data are not diplayed when the sample size for numerator is below 3 and when the sample size for denominator is below 30.
Recommended uses and limitations
The statistical estimates presented in this table are based on samples of adults, rather than values that could be calculated if every person in the target population in every country had answered every question. Therefore, each estimate has a degree of uncertainty associated with sampling and measurement error, which can be expressed as a standard error. The use of confidence intervals provides a way to make inferences about the population means and proportions in a manner that reflects the uncertainty associated with the sample estimates. In this table, there is one column with the heading “Value”, which indicates the average percentage or mean, and a column with the heading “SE”, which indicates the standard error. Given the survey method, there is a sampling uncertainty in the percentages or means of twice the standard error. For example, for the values: % = 10 and S.E. = 2.6, 10% has an uncertainty zone of twice (1.96) the standard error of 2.6, assuming an error risk of 5%. Thus, the true percentage would probably (error risk of 5%) be somewhere between 5% and 15% (“confidence interval”). The confidence interval is calculated as: % +/– 1.96 * S.E., i.e. for the previous example, 5% = 10% – 1.96 * 2.6 and 15% = 10% + 1.96 * 2.6.
Quality comments
When interpreting the results and the differences between groups a special attention should be given to the standard errors and the confidence interval.
",https://stats.oecd.org/Index.aspx?DataSetCode=EAG_MOB,OECD.Stat