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Chapter 14

Chapter 14. Quantitative Data Analysis. Chapter Outline. Quantification of data Univariate Analysis Subgroup Comparisons Bivariate Analysis Introduction to Multivariate Analysis. Developing Code Categories. Two basic approaches:

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Chapter 14

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  1. Chapter 14 Quantitative Data Analysis

  2. Chapter Outline • Quantification of data • Univariate Analysis • Subgroup Comparisons • Bivariate Analysis • Introduction to Multivariate Analysis

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

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

  5. 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.

  6. 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.

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

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

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

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

  11. 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.

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

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