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Speaking Stata: On structure and shape: the case of multiple responses AgEcon
Cox, Nicholas J.; Kohler, Ulrich.
A frequent problem in data management is that datasets may not arrive in the best structure for many analyses, so that it may be necessary to restructure the data in some way. The particular case of multiple response data is discussed at length, with special attention to different possible structures; the generation of new variables holding the data in different form; valuable inbuilt string and egen functions; using foreach and forvalues to loop over lists; and the use of the reshape command. Tabulations and graphics for such data are also reviewed briefly.
Tipo: Journal Article Palavras-chave: Composite variables; Concatenation; Egen; Foreach; Forvalues; Graphics; Indicator variables; Multiple responses; Reshape; Split; String functions; Tabulations; Research Methods/ Statistical Methods.
Ano: 2003 URL: http://purl.umn.edu/116035
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Tabulation of multiple responses AgEcon
Jann, Ben.
Although multiple-response questions are quite common in survey research, Stata’s official release does not provide much capability for an effective analysis of multiple-response variables. For example, in a study on drug addiction an interview question might be, “Which substances did you consume during the last four weeks?” The respondents just list all the drugs they took, if any; e.g., an answer could be “cannabis, cocaine, heroin” or “ecstasy, cannabis” or “none”, etc. Usually, the responses to such questions are stored as a set of variables and, therefore, cannot be easily tabulated. I will address this issue here and present a new module to compute one- and two-way tables of multiple responses. The module supports several types of data structure,...
Tipo: Journal Article Palavras-chave: Mrtab; Mrgraph; _mrsvmat; Multiple responses; Multiple testing; Tabulate; Research Methods/ Statistical Methods.
Ano: 2005 URL: http://purl.umn.edu/117502
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