1. Chapter 14 Quantitative Data Analysis
Quantification of data
Univariate Analysis
Subgroup Comparisons
Bivariate Analysis
Introduction to Multivariate Analysis

2. Developing Code Categories
Two basic approaches:
Beginning with a coding scheme derived from the research purpose.
Generate codes from the data.

3. Codebook Construction
Purposes:
Primary guide used in the coding process.
Guide for locating variables and interpreting codes in the data file during analysis.

4. Entering Data
Data entry specialists enter the data into an SPSS data matrix or Excel spreadsheet.
Optical scan sheets.
Part of the process of data collection.

5. Quantitative Analysis
Univariate - simplest form,describe a case in terms of a single variable.
Bivariate - subgroup comparisons, describe a case in terms of two variables simultaneously.
Multivariate - analysis of two or more variables simultaneously.

6. Univariate Analysis
Describing a case in terms of the distribution of attributes that comprise it.
Example:
Gender - number of women, number of men.

7. Presenting Univariate Data
Goals:
Provide reader with the fullest degree of detail regarding the data.
Present data in a manageable from.

8. Subgroup Comparisons
Describe subsets of cases, subjects or respondents.
Examples
"Collapsing" response categories.
Handling "don't knows."

9. Bivariate Analysis
Describe a case in terms of two variables simultaneously.
Example:
Gender
Attitudes toward equality for men and women

10. Constructing Bivariate Tables
Divide cases into groups according to the attributes of the independent variable.
Describe each subgroup in terms of attributes of the dependent variable.
Read the table by comparing the independent variable subgroups in terms of a given attribute of the dependent variable.

11. Multivariate Analysis
Analysis of more than two variables simultaneously.
Can be used to understand the relationship between two variables more fully.