What is the purpose of the following: Editing, raw data coding
RS600
Unit Exercise 5
Business Research Methods, Chapters 19 – 24
Reading Assignment Questions
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Get Help Now!Answer the following questions as you review/discuss the assigned reading of Business Research Methods, Chapters 19 through 24 of the course textbooks.
https://online.vitalsource.com/#/books/9781285529073/pages/59144142
https://online.vitalsource.com/#/books/9781285529073/pages/59144953
Student Name:
1. What is the purpose of the following:
I. Editing:
II. Raw Data Coding:
III. Raw Data Editing:
2. What role might a word counter play in coding qualitative research results and why?
3. A survey respondent from Florida has been asked to respond as to whether or not they own a boat and if so, whether they store the boat at a marina. Over two hundred respondents are included in this sample. What are the suggestions that you have regarding coding the information provided?
4. How would a dummy variable be used to represent whether or not a respondent in a restaurant ordered dessert after their meal?
5. List and describe three ways in which recent technological advances (within the past 15 years) has changed the way data is coded:
I.
II.
III.
6. What are five descriptive statistics used to describe the basic properties of variables?
I.
II.
III.
IV.
V.
7. What is a histogram and what are the advantages of overlaying a normal distribution over a histogram?
8. List and describe at least three basic data transformations.
I.
II.
III.
9. What is the purpose of a statistical hypothesis?
10. How is a p-value used to test a hypothesis?
11. The answers to a researchers questions will be nominally scaled. What statistical test is appropriate for comparing the sample data with the hypothesized population data?
12. Interpret the following computer cross-tab output including a χ2 test. Variable COMMUTE is “How did you get to work last week?” Variable GENDER is “Are you male or female?”
Comment on any particular problems with the analysis above.
13. What is covariance?
14. What are some different terms used to refer to the slope coefficient estimated in regression analysis?
15. Address the following questions about regression analysis:
I. Define simple linear regression.
II. When is it most appropriate to rely on raw parameter coefficients and when is it most appropriate to rely on standardized parameter coefficients?
III. Why is the Y-intercept estimate equal to 0 for standardized estimates?
16. Define multivariate statistical analysis.
17. Describe what the variate is in multivariate, give an example of a variate in multiple regression and in factor analysis.
18. What is a factor loading?
19. Name at least two multivariate techniques that can be useful in constructing perceptual maps.
I.
II.
20. A researcher uses multiple regression to predict a client’s sales volume based on gross domestic product, personal income, disposable personal income, unemployment, and the consumer price index. What problems might be anticipated with this multiple regression model and why?
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