editing and coding

QUESTIONS

1. What is the purpose of editing? Provide some examples of questions that might need editing.

Editing is the process of checking for omission and correcting information for consistency, and readability. The example given in the previous assignment, how long have you been working in manufacturing industry. This question asked respondents how long they worked in manufacturing industry however it does not specify specific timeframe, if a respondent answered 6-10. Does respondent means years, months? This question can be used to provide insight. For example, if the same respondent indicated 6-10 months then it was impossible to work for 6-10 years, so the respondent must have meant months on the previous question.

2. When should the raw data from a respondent be altered by a data editor?

Data is altered by an editor when an issue is discovered. Data is adjusted or reconstruct to make survey consistent and readable. The editor can edit or reconstructed responses when response is obvious and not altered final analysis.

3. How is data coding different from data editing?

Editing is the process of checking and adjusting information for omission, legibility and organizes it for analysis. The editor checks for mistake and omissions on questionnaires and adjusts the data to make them more readable, consistent and complete.
to represent the meaning in the data. Numerical value makes the coding job easier and permits the transfer of data from questionnaires to a computer. Once data is coded it’s analyzed by software’s to retrieve the most valuable information.

4. A 25-year-old respondent indicates that she owns her own house in Springfield, Illinois, and it is valued at $990 million. Later in the interview, she indicates that she didn’t finish high school and that she drives a 1993 Buick Century. Should the editor consider altering any of these questions? If so how?

Editor should try to make adjustments in an effort to represent as much information from a respondent as possible. The market value of houses at Springfield, Illinois shall be considered if no houses of that price are available then the survey shall considered null since all respondent responses will be in question. Otherwise it’s not possible to edit the response since the editor doesn’t know the reasons to own the car or how respondent acquire the house. This could be an outlier and depending of sampling size this survey shall be considered valid or null.

5. What role might a word counter play in coding qualitative research results?

Respondents will answer these questions according to their involvement with the survey or a certain interest topic bases on the number of word written to answer the question.

6. A survey respondent form Florida has been asked to respond as to whether or not he or she owns a boat, and if so, whether he or she stores the boat at a marina. Over two hundred respondents are included in this sample. What suggestions do you have for coding the information provided?

While students’ responses will vary, they should demonstrate an understanding of the two basic rules for code construction: (1) coding categories should be exhaustive, meaning that a coding category should exist for all possible responses, and (2) coding categories should be mutually exclusive and independent, meaning there should be no overlap among the categories. In this case, it appears to be rather simple to code these questions. The possible answers to whether or not they own a boat are “yes” or “no.” These could be coded as “1” for “yes” and “0” for “no.” If respondents answered “yes” to the first questions, the second question about the marina also has two possible answers: “yes” or “no.” Again, “1” could represent “yes,” and “0” could represent “no.”

7. How would a dummy variable be used to represent whether or not a respondent in a restaurant ordered dessert after their meal?

Dummy coding is useful for dichotomous responses like yes or no. Dummy coding assigns a “0” to one category and a “1” to the other. So, for the yes-no responses to represent whether or not a respondent ordered dessert, a “0” could be “no” and a “1” would be “yes.”

8. List at least three ways in which recent technological advances (within the last fifteen years) have changed the way data are coded.

Data coding has change due technology advances such as:
• Data can be entered into common statistical programs Minitab, SPSS or Excel to analyze data
• Internet or telephone interviewing programs can be programed to enter data directly into the data file.
• Software can be used to interpret qualitative data and help to build theory’s

9. [Ethics Question] A large retail company implements an employee survey that ostensibly is aimed at customer satisfaction. The survey includes a yes or no question that asks whether or not the employee has ever stolen something from the workplace. How could this data be coded? What steps could be attempted to try and insure that the employee’s response is honest? Do you believe it is fair to ask this question? Should the employee take action against employees who have indicated that they have stolen something?

First, this question could be coded as “1” for “yes” and “0” for “no.” Answering the rest of the questions is not as easy, and students’ responses will vary. However, they should be reminded of the importance placed on researchers being honest to respondents. The “purpose” of this research appears to something other than measuring customer satisfaction and is deceptive. Moreover, an employee who steals is not likely to give an honest answer!

10. A researcher asks the question “What do you remember about advertising for Gillette Turbo razors?” A box with enough room for 100 words is provided in which the respondent can answer the question. The survey involves responses from 250 consumers. How should the code book for this question be structured? What problems might it present?

A code book gives each variable in the study and its location in the data matrix. In essence, it provides a quick summary that is particularly useful when a data file becomes very large. The real challenge will be coding these responses because this is an example of an unstructured qualitative response. Qualitative coding was introduced in Chapter 6, and codes are usually words or phrases that represent themes.

11. [Internet Question] Use http://www.naicscode.com to help with this response. What is the NAICS code for golf (country) clubs? What is the NAICS code for health clubs? How can these codes be useful in creating data files?

The NAICS code for country clubs is 713910, and it is 713940 for health clubs. This standardized classification scheme can be used to precode responses.

12. [Internet Question] Explore the advantages of computerized software such as ATLAS.ti. The web site is www.atlasti.com. How do you think it might assist in coding something like a depth interview or a collage created by a respondent?

In addition to visiting this web site, students should refer back to the chapter on Qualitative Research for more information on this software program.
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