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It is the first in an ongoing series of longitudinal studies designed to offer policymakers and researchers data related to high school educational experiences in the United States. NLS–72's design is a nationally representative, random sample of the three million American high school seniors enrolled in the spring of 1972. [ 1 ]
High School and Beyond (HS&B) is a longitudinal study of a nationally representative sample of people who were high school sophomores and seniors in 1980. The study was originally funded by the United States Department of Education ’s National Center for Education Statistics (NCES) as a part of their Secondary Longitudinal Studies Program .
Both datasets above are structured in the long format, which is where one row holds one observation per time. Another way to structure panel data would be the wide format where one row represents one observational unit for all points in time (for the example, the wide format would have only two (first example) or three (second example) rows of ...
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This freely available dataset allows researchers to explore the association between variables in the General Social Survey and human longevity. For instance, it is possible to explore the association between happiness and life expectancy. [2] The dataset and codebook are available for download to the public.
The National Longitudinal Surveys (NLS) are a set of surveys sponsored by the Bureau of Labor Statistics (BLS) of the U.S. Department of Labor. [1] These surveys have gathered information at multiple points in time on the labor market experiences and other significant life events of several groups of men and women. [2]
Apple iWork Numbers, included with Apple's iWork '08 suite exclusively for Mac OS X v10.4 or higher. AppleWorks – for MS Windows and Macintosh. This is a further development of the historical Claris Works Office suite. WordPerfect Office Quattro Pro – for MS Windows. Was one of the big three spreadsheets (the others being Lotus 123 and Excel).
Another type of data, panel data (or longitudinal data), combines both cross-sectional and time series data aspects and looks at how the subjects (firms, individuals, etc.) change over a time series. Panel data deals with the observations on the same subjects in different times.