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Variables, Measurement, and SPSS

Essay Instructions:
Quantitative research consists of testing and understanding relationships between variables. Researchers construct these variables as measureable expressions of social phenomena. Modern statistics provides you with a host of resources to answer questions, but each statistical test has a set of assumptions regarding the measurement of the variables. It is therefore important to understand how variables are measured because their measurement will influence the type of analytic tools available to you. SPSS is a statistical software program that allows you to enter these variables into a spreadsheet format and record the measurements from a sample. Additionally, SPSS allows you to perform statistical analysis. Before launching into your analyses, though, it is important to understand how the variables are measured. That understanding will help you interpret the SPSS output. In this week’s Discussion, you considered topics with social change implications. For this Assignment, you will examine data to analyze independent and dependent variables, determine how they are measured, and decipher whether a social change question can be answered and the implications for such change. To prepare for this Assignment: Review the Learning Resources as well as the SPSS resources found in this week’s Learning Resources. Review, download, and install the SPSS software on your computer using the IBM SPSS Installation and Registration document for PC or for MAC in this week’s Learning Resources. Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset (whichever you choose) found in this week’s Learning Resources and then choose two variables that interest you. For this Assignment: Write a 1- to 2-page summary and include the following: Early in your Assignment, when you relate which dataset you analyzed, please include the mean of the following variables. If you are using the Afrobarometer Dataset, report the mean of Q1 (Age). If you are using the HS Long Survey Dataset, report the mean of X1SES. A description of what the each of the variables measure. description of the unit of analysis. A description and explanation of the levels of measurement for each variable (i.e., nominal, ordinal, interval, ratio). Explain how you might conceive these variables to be used to answer a social change question. What might be the implications for social change? Support your summary using appropriate scholarly citations and references. Use proper APA format.
Essay Sample Content Preview:
Quantitative Analysis Using the Afrobarometer 2022 Dataset Student Name Institution Course Professor Date Dataset and Descriptive Statistics Based on the IBM SPSS Statistics, the Afrobarometer South Africa Round 9 (2022) data has been analyzed to prove the concept of the correlation between the age of respondents (Q1) and their attitude to the economic situation in the country (Q4A) to support the given idea. The mean age of the respondents, 18-89 years old, was 39.51 (SD = 15.57) on 1580 respondents. A total of 2.09 (SD=1.42) was the mean score on a scale of 1 (Very good) on one end to 9 (Very bad) on the other end, with regard to economic perception (Afrobarometer, 2022). These results indicate that the average age of the respondents belonged to the late thirties range and they did not view the economic situation in South Africa positively. Overall, these descriptions outcomes create a backdrop of the connection between age and the views of the national economy. Description of the Variables Q1 (Age) is the first variable where the respondents are rated by their chronological age in years, which is a ratio-level variable with a real zero and equal intervals, and gives the opportunity to have meaningful averages and comparisons. The individual respondent is the unit of analysis. The second variable is Q4A (Country Present Economic Condition), which comprises the subjective assessment of the national economy on the ordinal scales with a range of 1 (Very good) t...
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