By ICPSR - Institute for Social Research - University of Michigan
ISBN-10: 0891388001
ISBN-13: 9780891388005
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Extra resources for Guide to Social Science Data Preparation and Archiving
Sample text
2007). Office of the Vice President for Research. research. html Zelenock, Tom, and Kaye Marz. (1997). ” ICPSR Bulletin, 17(4): 1–4.
Again, for the vast majority of studies, the length of the record is irrelevant. Data analysis programs can read very long records containing thousands of columns of data. Technically, each character of information consists of one byte of data. Hierarchical files. Although long records are not a problem for most users, large datasets may be difficult to store, even in this age of generous disk storage space. As a result, it is desirable to reduce the amount of blank space on a record. Blank space typically results when a set of variables is not applicable for the respondent.
Pdf National Science Foundation. (1989). nsf. txt O’Rourke, JoAnne McFarland. (2003, Fall). ” ICPSR Bulletin, 34(1): 3–9. pdf O’Rourke, JoAnne McFarland, Stephen Roehrig, Steven G. Heeringa, Beth Glover Reed, William C. Birdsall, Margaret Overcashier, and Kelly Zidar. (2006, September). ” Journal of Empirical Research on Human Research Ethics, 1(3). 63 United States Department of Health and Human Services. Office for Human Research Protections. (2006, October 25). html United States Department of Health and Human Services.
Guide to Social Science Data Preparation and Archiving by ICPSR - Institute for Social Research - University of Michigan
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