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Basic data analysis

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Basic data analysis

- Frequencies
- This analysis produces frequency tables showing frequency counts and percentages of the values of individual variables.

- Descriptives
- This analysis shows the maximum, minimum, mean, and standard deviation of the variables

- Linear regression analysis
- Linear Regression estimates the coefficients of the linear equation

- Click ‘Analyze,’ ‘Descriptive statistics,’ then click ‘Frequencies’. The sample file employee.sav is used in this demonstration

Click

Click

- Click gender and put it into the variable box.
- Click ‘Charts.’
- Then click ‘Bar charts’ and click ‘Continue.’

Click

- Finally Click OK in the Frequencies box.

Output view

Click

- Click ‘Analyze,’ ‘Descriptive statistics,’ then click ‘Descriptives…’
- Click ‘Educational level’ and ‘Beginning Salary,’ and put it into the variable box.
- Click Options

Click

Click

- The options allows you to analyze other descriptive statistics besides the mean and Std.dev
- Click ‘variance’ and ‘kurtosis’
- Finally click ‘Continue’

- Finally Click OK in the Descriptives box. You will be able to see the result of the analysis.

Do a frequency analysis on the variable “minority”

Create pie charts for it

Click

- Click ‘Analyze,’ ‘Descriptive statistics,’ then click ‘frequencies…’
- Click ‘minority’ and put it into the variable box.
- Select pie chart under chart type.
- Select frequencies and continue.

Click

Use demo.sav file (sample folder)

Click on graph menu

Choose chart builder

Click gallery tab

click on bar

Drag the stacked bar icon onto the canvas

Select – employment category on Y-axis

gender on X axis

Use demo.sav file (from sample folder)

Click on graph menu

Choose chart builder

Click gallery tab

click on bar

Drag the stacked bar icon onto the canvas

Select variables– employment category Y-

gender X axis

Use demo.sav file (from sample folder)

Click on graph menu

Choose chart builder

Click gallery tab

click on bar and

Drag the simple bar icon onto the canvas

Select – variable job satisfaction and right click on it to change measure to ordinal. Then drag onto X axis

Select – variable household income and drag onto y axis

See statistic change to mean from count.

Use employee data.sav file (from sample folder)

Click on graph menu

Choose chart builder

In choose from list select scatter/dot

Drag the simplest scatter plot diagram onto the canvas

Select – variable Beginning salary then drag onto X axis

Select – variable Current salary and drag onto y axis

Click on OK button

Here you have a simple scatter plot showing the effect of starting salary on current salary.