COURSEWORK 1: DATA ANALYSIS USING IBM SPSS
Coursework 1: Data Analysis Using IBM SPSS
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jtrene7@gmail.com
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Question 1
Part A: Descriptive Analyses on the Variables
In this section, descriptive analysis of the variables is made in accordance with the level of measurement of the variables. In this context, the variables have been evaluated at the four distinct levels, which include nominal, ordinal, interval, and ratio (Frankfort-Nachmias & Nachmias 2008).
Global Warming, Sex and MOSAIC Global Segment
These three variables have been measured at the nominal level. Thus, frequencies and mode are the main descriptive analyses for this variable (Zikmund et al., 2009). The variable for global warming denotes respondents’ responses on whether or not they believe that the government should address global warming. The variable is measured at two levels (0 = No, 1 = Yes). The variable for sex represents the gender of the respondents and has two levels of measurement (1 = male, 2 = female). The variable for MOSAIC global segment has ten levels (1 = A, …, 10 = J).
The results indicate that approximately 51% (n = 640) of the respondents believe that the government should address global warming. On the other hand, about 49% (n = 619) of the respondents believe that the government should not address global warming. Figure 1 presents the proportions of responses on the respondents’ beliefs on whether or not the government should address global warming.
Figure 1. Respondents’ responses on whether the government should address global warming
More than a half of the respondents, 56% (n = 705), were females while the rest, 44% (n = 554) were males. The results are as visualized in figure 2.
Figure 2. Proportion of respondents by gender (N = 1259)
More than a quarter of the respondents, 28.4% (n = 357) fall in the MOSAIC global segment G. Almost a quarter of the respondents, 23.8% (n = 300), fall
By
jtrene7@gmail.com
Course
Instructor
Institution
City, State
Date
Question 1
Part A: Descriptive Analyses on the Variables
In this section, descriptive analysis of the variables is made in accordance with the level of measurement of the variables. In this context, the variables have been evaluated at the four distinct levels, which include nominal, ordinal, interval, and ratio (Frankfort-Nachmias & Nachmias 2008).
Global Warming, Sex and MOSAIC Global Segment
These three variables have been measured at the nominal level. Thus, frequencies and mode are the main descriptive analyses for this variable (Zikmund et al., 2009). The variable for global warming denotes respondents’ responses on whether or not they believe that the government should address global warming. The variable is measured at two levels (0 = No, 1 = Yes). The variable for sex represents the gender of the respondents and has two levels of measurement (1 = male, 2 = female). The variable for MOSAIC global segment has ten levels (1 = A, …, 10 = J).
The results indicate that approximately 51% (n = 640) of the respondents believe that the government should address global warming. On the other hand, about 49% (n = 619) of the respondents believe that the government should not address global warming. Figure 1 presents the proportions of responses on the respondents’ beliefs on whether or not the government should address global warming.
Figure 1. Respondents’ responses on whether the government should address global warming
More than a half of the respondents, 56% (n = 705), were females while the rest, 44% (n = 554) were males. The results are as visualized in figure 2.
Figure 2. Proportion of respondents by gender (N = 1259)
More than a quarter of the respondents, 28.4% (n = 357) fall in the MOSAIC global segment G. Almost a quarter of the respondents, 23.8% (n = 300), fall
References: Peter, JP & Olson, JC, 2005, Attitudes and Intentions. In Consumer Behavior and Marketing Strategy, 7th edn, New York, McGraw-Hill.