STATA PACKAGE TEXT SCANNER CODE

The information is so sparse and not easily accessed that it is not readily usable. Leading to вЂњcut and pasteвЂќ coding which needlessly duplicates efforts) or data file columns headers.Д®ven though all the information necessary for data coding and analysis may be included, written in Word tables that are hard to access electronically by other programs, Very often, statisticians are sent data files that contain all the information listed in Section 2,Д«ut either through inconvenient codebooks (e.g. Entering your codebook through Excel spreadsheets

STATA PACKAGE TEXT SCANNER CODE

Section 3.2 suggests a way to code missing values.ДЈ.

Will be a foreseeable option to minimize the amount of missing information.

If true missing values were coded, identifying data entry omissions will be trivial and going back to charts (or questionnaires) - when possible. Furthermore, specifically coding missing values in a data bank makes it clear that the data item is truly missing,ДЄs opposed to an omission by the data entry person, which is unfortunate but happens in practice It is sometimes important however - either in data analysis or when writing reports - to be able to distinguish between different types of missing data,ДЄnd that will require some coding. Indeed, cells left empty in Excel spreadsheets, for example, will be interpreted as missing data by most statistical programs. The coding of missing data often does not receive special attention, which is often benign They can arise from many sources, such as refusal to answer, omission, missing by design, etc. In practice, missing data almost always occur in clinical projects We will still suggest a few hints in Section 5 to reduce problems further down the line, at the statisticianвЂ™s end. If for some reason you still prefer to enter alphanumeric values (we can imagine that sometimes it saves some time and/or is less error-prone at data entry), So that creating numeric codes for all possibilities becomes too cumbersome. Reason for non-adherence to medication, etc - and even in these cases, only when the number of possible answers is large, in comment variables - reason for withdrawal from experiment, (In fact, the alphanumeric variables can be used, but only after some preprocessing that can be time consuming and hence expensive.)Д¬haracter entries should be used for descriptive purposes only, e.g. gender=F or M) directly in statistical models. Leading to misinterpretation of two equivalent answers as being different, and above all greatly facilitates the use of the variables in statistical models,ДЄs most statistical packages cannot use character variables (that is, variables taking alphanumeric values, e.g. This avoids the occurrence of typographical errors in entering literal answers, Data should be reduced to numeric codes whenever possible.

Stata package text scanner