Data analysis statistics

Exploratory data analysis should be interpreted carefully. When testing multiple models at once there is a high chance on finding at least one of them to be significant, but this can be due to a type 1 error . It is important to always adjust the significance level when testing multiple models with, for example, a Bonferroni correction . Also, one should not follow up an exploratory analysis with a confirmatory analysis in the same dataset. An exploratory analysis is used to find ideas for a theory, but not to test that theory as well. When a model is found exploratory in a dataset, then following up that analysis with a confirmatory analysis in the same dataset could simply mean that the results of the confirmatory analysis are due to the same type 1 error that resulted in the exploratory model in the first place. The confirmatory analysis therefore will not be more informative than the original exploratory analysis. [37]

  Related Links Other BLS Programs

  • Geographic Profile of Employment and Unemployment —subnational demographic labor force data from the Current Population Survey. This includes data for census regions and divisions; the 50 States and the District of Columbia; and 54 large metropolitan areas, 22 metropolitan divisions, and 41 cities.
  • Labor Force Statistics from the Current Population Survey —national data on employment, unemployment, earnings, and other labor market topics by demographic characteristics.
  • Employment, Hours, and Earnings from the Current Employment Statistics survey (National) —monthly national data by detailed industry on employment, hours, and earnings of workers on the payrolls of  nonfarm establishments.
  • Employment, Hours, and Earnings from the Current Employment Statistics survey (State and Metro Area) —monthly data on employment, hours, and earnings by industry and geographic area.
  • Quarterly Census of Employment and Wages —comprehensive employment and wage data by industry and geographic area for workers covered by State Unemployment Insurance laws.
  • Job Openings and Labor Turnover Survey (JOLTS) —monthly data on job openings, hires, and separations that serve as demand-side indicators of labor shortages at the national level.
  • Occupational Employment Statistics —data on employment and wages for over 800 occupations and for about 400 nonfarm industries for the nation, plus occupational data for States and metropolitan areas.
  • National Longitudinal Surveys —several surveys gathering information at multiple points in time about the labor market and life experiences of six groups of American men, women, and youth.
  • Mass Layoff Statistics —reports on mass layoff actions that result in workers being separated from their jobs.
Other Useful Links
  • Information about Unemployment Insurance —this Department of Labor site provides links to local One-Stop services
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Data analysis statistics

data analysis statistics

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