SOC 103M

Winter 2019

**Computer
Applications to Data Management in Sociology**

TTh 2-3:20

SSB 101

Akos Rona-Tas

Office Hours:

Th 10:30-11:20

by appointment

488 SSB

e-mail: aronatas@ucsd.edu

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 a researcher who
needs to marshal data gathered for a project, or as an 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 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.

We
will also introduce a new tool Survey
Analysis through Visual Exploration or SUAVE, that allows you to study
relationships visually and with the help of zoom technology, investigate cases
of special importance.

In
the second part of the course you will turn to qualitative data and become
acquainted with NVIVO 12, 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.

Both
SPSS and NVIVO will be available in the Social Science Computing Facility (SSB
139). SUAVE is web based. Although there is no expensive textbook for this
course, I strongly recommend you get your own access to NVIVO. You can rent it for
24 months (for PC $99, for Mac $85). 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 6 months for about $35.
(You will be fine with getting the Grad Pack basic package.)

The door code for SSB 139 and SSB 140 is
**0513216**. You can find
futher details here:
https://sdacs.ucsd.edu/~icc/index.php

There
will be 10 assignments. The first nine each will be worth 7% and the final
assignment 20% of your
grade. The Midterm will be
12% and another 5%
will come from class participation.

The
class has a Web site :

http://weber.ucsd.edu/~aronatas/SOC103M.htm

It
has this syllabus, the assignments and, contains all the statistical material
covered in the first part of the course.

Assignments:

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 TritonEd, except for
NVIVO files and folders that will stay in your personal directory.

**J****anuary 8**

MANAGING
QUANTITATIVE DATA (SPSS AND SUAVE)

**January 10**

(Class split between first SSB 101 and then the computer lab)

Introduction
to SPSS

The Data Editor: Data Entry

Transforming
Data: Computing and Recoding, Composite Measures

Splitting
Files and Selecting Cases

**J****anuary 15**

*Assignment
A1 due*

Frequency Distributions

Measures of Central Tendency

Measuring Variation

Visual Presentation: Bar and Pie Chart, Histogram

**J****anuary 17**

*Assignment
A2 due*

The Strength of the Relationship and the Significance of the Relationship

Crosstabulation

Cramer's V

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**Scatterplot**

**J****anuary 22**

*Assignment
A3 due*

Visualization of Causal Explanation

**J****anuary 24**

Make sure you have a question. What do you want to explain? How will you measure it?

What are some of the possible explanations? Have at least three.

What is your dependent variable? What are your independent variables?

**
January 29 **

*Assignment
A4 due*

Multi-causal
explanations

Logic of experimentation and multivariate analysis

** January
**31

Multiple regression

**February 5**

MIDTERM

**February 7**

NO CLASSES

**Februa****ry 12**

*Assignment
A5 due*

**February ****
14**

Explanations
and Exceptions

**F****ebruary 19**

Practicing with SUAVE

MANAGING
QUALITIATIVE DATA (NVIVO 10)

February 21

Introduction
to NVIVO 10

Here is a video tutorial for
NVIVO 10

**February 26**

Creating
Documents

**February 28**

*Assignment
B1 is due on March 1*

**March 5**

*Assignment B2 is due*

**March
7**

Models, Queries and Visualization

How to build models, run searches and visualize results in NVIVO 10

*
Assignment
B3 is due*

**M****arch 12**

**March 14**

*Assignment B4 is due*

The final assingment is due **11:59 pm, March 21**.
If you turn your paper in before **8:00 am, March 19**, I will give you a
grade. If you don't like the grade you will have the opportunity to resubmit
by the final deadline.