Additionally, the training will also focus on developing skills that are crucial to the transformation of data using SPSS. It will provide the participants with a general idea of computer assisted data analysis. The training is essential in the development of better understanding of the concepts of statistics. Thank you Online/ On-site (Nairobi, Kenya) Training Dates
IBM SPSS STATISTICS DATA EDITOR REGISTRATION
You can also move output items by clicking and dragging them in the contents pane.NOTE: To view the training dates and registration button clearly put your mobile phone, tablet on landscape layout.
For easier navigation, click an item in the outline pane to display it in the contents pane. Use the scroll bars to navigate through the window's contents, both vertically and horizontally. The contents pane contains statistical tables, charts, and text output. The outline pane contains an outline of all of the information stored in the Viewer. The Viewer window is divided into two panes. The output produced can be statistical tables, charts, graphs, or text, depending on the choices you make when you run the procedure. The results from running a statistical procedure are displayed in the Viewer.
Non-numeric data, such as strings of text, can also be entered into the Data Editor. The names that you entered in Variable View are now the headings for the first three columns in Data View.īegin entering data in the first row, starting at the first column. Click the Data View tab to continue entering the data.
In this case, only three variables are needed: age, marital status, and income.Ģ.
You need to define the variables that will be used. Click the Variable View tab at the bottom of the Data Editor window.Variables come in many different types, including numbers, strings, currency, and dates.ĭata can be entered into the Data Editor, which may be useful for small data files or for making minor edits to larger data files. The response to each question on a survey is equivalent to a variable. Variables are used to represent the different types of data that you have compiled. In Variable View, each row is a variable, and each column is an attribute that is associated with that variable.In Data View, columns represent variables, and rows represent cases (observations).The information in the Data Editor consists of variables and cases. The Data Editor displays the contents of the active data file.