There are 6 different windows that can be accessed when using SPSS. The first and main window is the data editor. This is the window where most of the action happens. The data editor has two views: the data view and the variable view. The data view is for entering data into the data editor and the variable view allows us to define the various characteristics of the variables within the data editor. The output navigator window displays the statistical results, tables and charts from any analysis you perform. The output Navigator window opens automatically when you run a procedure that generates output. In the output navigator window you can edit, move, delete and copy your results in a Microsoft Explorer-like environment . Using the pivot table editor, output displayed in pivot tables can be modified. You can edit text, swap data in rows and columns, add colour, create multidimensional tables and selectively hide and show results. The chart editor for a certain chart can be invoked by double clicking the chart. Here, you can modify and save high resolution charts and graphs. You can change the colours, select different type fonts or sizes, switch horizontal and vertical axes, rotate 3-D scatter plots and change chart types. The text output editor can be used to modify any text output that is not displayed in your pivot tables. Here, you can edit the output and change font characteristics such as the style, type, colour or size. The syntax editor is useful for performing analyses that are not associated with a dialog box in SPSS. Here, you can use SPSS syntax to write your own commands. In this lesson, we will concentrate only on the first two windows and we will revisit the other windows in upcoming lessons.
Here, the students will be given time to open SPSS on their personal screens. (1 minute)
After viewing the video, students will be given time to enter the variables and the characteristics for each variable. (10 minutes). They will be given 15 minutes because they will also have to enter the values for the Gender and Marital Status variables at this time.
Students will be given time to change the measure of the Confidence variable in their variable view. (1 minute).
After viewing the video, students will be given time to enter the data for the 10 participants. (10 minutes)
After viewing the video, students will enter the missing data for each of the participants. (2 minutes)
After viewing the video, students will change the coding for the Confidence variable in their own SPSS documents. (3 minutes)
After viewing the video, students will create their own frequency tables for the data. (1 minute)
After viewing the video, students will create their own 5-number summary in SPSS. (1 minute)
After viewing the video, students will create their own frequency tables for Gender and Level of Confidence. (2 minutes)
After viewing the video, students will conduct their own correlation study for Age and Confidence Level. (2 minutes)
After viewing the video, students will create their own scatter plot in SPSS. (3 minutes)
The instructor is not collecting the answers to the post test. This is for the students to assess their own learning. This activity is not timed.
On a scale of 1 to 10, how confident are you that you will learn to use SPSS?
1 2 3 4 5 6 7 8 9 10
Not at All Very
First Name: _Mark_ Gender: M F Age:_ 51 _ Employment Status: Part Time Full Time Marital Status: Single Married Divorced Widowed On a scale of 1 to 10, how confident are you that you will learn to use SPSS? 1 2 3 4 5 6 7 8 9 10 Not at All Very
The C onfidence variable indicates participants' responses to the question: On a scale of 1 to 10, how confident are you that you will learn to use SPSS? Their responses are currently Scale data (1 – 10). To make a comparison of the participants who answered with a low , medium , or high response , you can create groups (Nominal data).