Introduction to Quantitative Analysis
Week 3 Assignment: Introduction to Quantitative Analysis: Descriptive Analysis
In this Assignment, you will differentiate between the proper use of summary statistics for categorical and continuous level data. In this exercise, you will explore what output is provided for each of these variables and provide some meaning from these statistics for your reader. The
ability to place the statistics into a context that your reader understands and can make sense of is a highly desirable skill.
For this Introduction to Quantitative Analysis: Descriptive Analysis Assignment, you will examine the same two variables you used from your Week 2 Assignment and perform the appropriate descriptive analysis of the data given.
To prepare for this Assignment:
Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset from your Assignment in Week 2.
Choose the same two variables you chose from your Week 2 Assignment and perform the appropriate descriptive analysis of the data.
Once you perform your descriptive analysis, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document.
Write a 2- to 3-paragraph analysis of your descriptive analysis results and include a copy and paste your output from your analysis into your final document.
Based on the results of your data, provide a brief explanation of what the implications for social change might be.
FURTHER INSTRUCTIONS
SPSS Assignment: Introduction to Quantitative Analysis – Descriptive Analysis
This week you will continue to work withSAME 2 variables you used in Week 2 from the same data set, either the Afrobarometer or HSLS data set. One should be categorical (identified asnominalin the SPSS data set) the other one should be continuous (identified asscalein the SPSS data set).
However, if you did not select One specific nominal variable and One specific scale variable last week, be sure to do so for this week. Also, as mentioned above, full describe the variables.
Ensure that the statistics youcompute and report areappropriatefor the measurement level of your variables.Be very careful in your selection of appropriate statistics. Consider which is the most appropriate choice based on the level of measurement and other features of the data, such as outliers or the shape of the data from the graphs you created last week.
First describe your continuous variable and then your categorical variable. Report all of the information that is requested in the instructions.Restrict your writing to two paragraphs – one for each variable.
Insert the output from SPSS following each paragraph. Only include relevant output!
Use full APA format (e.g., title page, page numbers, double spacing, Times New Roman 12-point font, APA headings, etc. – though you can omit the abstract) and include figure captions for your SPSS figures, citations, and a References page.
Reference
Frankfort-Nachmias, C., & Leon-Guerrero, A. (2018). Social statistics for a diverse society (8th ed.). Thousand Oaks, CA: Sage Publications.
Chapter 3, “Measures of Central Tendency” (pp. 63-93)
Chapter 4, “Measures of Variability” (pp. 94-127)
Wagner, W. E. (2016). Using IBM® SPSS® statistics for research methods and social science statistics (6th ed.). Thousand Oaks, CA: Sage Publications.
Chapter 4, “Organization and Presentation of Information”
Chapter 11, “Editing Output”
Solution Preview
The variables selected here are the same as those in week2, namely;
1. Problem w/ public health clinics which in itself is a continuous variable, whereby (high scores=more problems) in the dataset. The name of the data set is Afro-barometer. The idea here is to try and establish the level scores; this will enable us to become clear from the respondent’s point of view as far as the degree of problems is concerned.
(515 words)