Applications to Data Management in Sociology
T Th 9:30-10:50 or T Th 11:00-12:20
This course will introduce you to data management through a research project of your own. You will learn practical skills that you will be able to use widely, as a student who needs to manage information learned in class, as researcher who needs to marshal data gathered for a project, or as employee who needs to organize information for work tasks.
You will learn how to manage both quantitative and qualitative data. Accordingly, the course will be split into to two halves, each devoted to one kind of analysis and software. In the first part of the course you will be using Statistical Package for the Social Sciences or SPSS, a user friendly statistical package where all you need to do is to click on pull-down menus. You will learn how to input data in an analyzable, numeric form, then using a real data set representative of the United States, called the General Social Survey, you will have a chance to investigate real social issues. You will learn powerful ways of organizing, describing, depicting and exploring regularities in the data. While you will become familiar with basic statistical concepts, this is not a class in statistics. If you know how to add, subtract, multiply, divide, square and take a square-root with a calculator, you are properly prepared.
In the second part of the course you will turn to qualitative data and become acquainted with NVIVO 10, a software that helps you handle qualitative information from unstructured data. You will learn about organizing and linking documents, coding, searching, annotating texts, organizing codes and building theories.
There are no textbooks for the course, but if you are looking for useful books I recommend Adventures in Social Research, by Earl Babbie et al., and Qualitative Data Analysis with NVivo by Pat Bazeley and Kristi Jackson.
SPSS and NVIVO will be available in the Social Science Computing Facility (SSB
139). Although there is no expensive textbook for this
course, I recommend you get your own access to NVIVO. You can rent it for the
semester (for two PCs $80, for two Macs $60). You can also buy it, but that is
more expensive. While having your own NVIVO is important, having your own SPSS
software is more of a convenience. You can own two copies for 12 months for about $60.
(You will be fine with getting the Grad Pack basic package. It does not matter
if it is version 21 or 22.)
The door code you will need for the computer lab
The door code you will need for the computer lab is 0554380.
The class has a Web site :
It has this syllabus, the assignments and, contains all the statistical material covered in the first part of the course.
GENERAL INSTRUCTIONS for the assignments:
Please be sure to present your responses in an organized, clear, grammatically correct, paragraph format (i.e. no sentence fragments, bullets, etc.). Be sure to proof read, spell check, and make appropriate paragraph breaks when necessary. All homework must be handed in electronically via TED (TritonEd) including NVIVO files and folders that should be zipped and submitted as a single zip file.
March 31 and April 5 no classes
You must sign up to see me
during class time or my office hours on April 4 or 6
on April 4 or 6
MANAGING QUANTITATIVE DATA
April 7 (Class split between SSB 101 and computer lab)
Introduction to SPSS
The Data Editor: Data Entry
Transforming Data: Computing and Recoding, Composite Measures
Splitting Files and Selecting Cases
Assignment A1 due
Measures of Central Tendency
Visual Presentation: Bar and Pie Chart, Histogram, Scatterplot
Assignment A2 due
The Strength of the Relationship and the Significance of the Relationship
Gamma an Ordinal Scale Measure of the Strength of the Relationship
Correlation Coefficient (Pearson's r) an Interval/Ratio Scale Measure of the Strength of the Relationship
Assignment A3 due
Visualization of Causal Explanation
Assignment A4 due
Explanations and Exceptions
Assignment B1 is not due until May 17 but it includes completing 6 more
qualitative interviews and finding 6 more articles, so don't leave it to the last minute.
REMINDER: Assignment B1 is not due until May 17 but it includes completing 6 more qualitative interviews and finding 6 more articles, so don't leave it to the last minute.
Working with Quantitative Data I
Working with Quantitative Data II
MANAGING QUALITIATIVE DATA (NVIVO 10)
Introduction to NVIVO 10
Assignment B1 is due
and Ordering Concepts
Assignment B2 is due
Assignment B2 is due
Models, Queries and Visualization
Assignment B4 is due
Final Assignment is due at the time of the final exam and should be submitted via TED (TritonEd) through Turnitin.