Univariate Analysis

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# Univariate Analysis - PowerPoint PPT Presentation

Univariate Analysis. The first step to analyzing data. Quantitative Data Analysis. Purpose It is the examination of variables and relationship among variables using numbers. summarized a variable examine relationship among variables To test hypotheses . The first step.

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## PowerPoint Slideshow about 'Univariate Analysis' - jana

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Presentation Transcript

### Univariate Analysis

The first step to analyzing data

Quantitative Data Analysis
• Purpose
• It is the examination of variables and relationship among variables using numbers.
• summarized a variable
• examine relationship among variables
• To test hypotheses
The first step
• To become familiar with each variable that you intend to use in your analysis.
• Make sure that variable has enough cases across responses for meaningful analysis.
• To reorganize the responses to an original variable to better suit the specific analysis to be undertaken.
• To accomplish this must examine each variable separately. This is called Univariate analysis.
• Categorical Variables
• Frequency distributions
• Bar graphs
• Numerical Variables
• Measures of central tendencies
• Means, modes, medians
• Standard deviation
• Range
• histograms
Frequencies
• The number of cases that fall into each attribute of a variable.
• Categorical variables
• The number cases and percent of total cases that fall into each response category of the variable.
• Numerical variables
• The number of cases for a variable that fall into each possible response category.
Examples of Categorical VariablesUsing Race of Respondent from GSS Dataset
• Say we want to test the following model and hypotheses:
• An we want to first just look at relationship between age and stereotypical attitudes using a table that will tell us the number of people in an age group by their racial attitude called a crosstabulation.

age

Interaction with blacks

Negative Attitude towards blacks

Race/ethnicity

The actual Indicators
• Age asks respondents their age at the time of the interview.
• Numerical
• The dependent variable negative attitudes will be created from 3 categorical variables that asked respondents how most people in the group (blacks) can be characterized on each of the following characteristics:
• Rich vs. poor
• Hard-working vs. lazy
• Violence prone vs. not violence prone
• Unintelligent vs. intelligent