Publication Year: 08. 04. 2017 Date of last inspection: 08. 04. 2017
In order to perform online analyses and/or download data files, you need to have a valid username and password.
We create a table by clicking the tab Tabulation. One or more variables of a study may be included in the table. If we click on the tab Tabulation, we get an empty table.
On the left pane of Nesstar Webview we search an appropriate variable (in the section Variable Description). By clicking the variable (left mouse click) a selection field opens.
We can include more variables in each row or column. They will be shown as nested in the table. An example of descriptive statistics calculation in a table:
We can empty a table by clicking the button for deletion. An individual variable can also be deleted by using the drop-down menu above the table (see below).
The drop down menu enables additional options, such as moving of a variable in another row/column etc.
The content of the table can be shown in percentage in columns, in rows, in absolute values or in percentage in rows and columns.
Nesstar browser offers some basic graphic representations of data, arising from the tabs Tabulation and Analysis. By clicking the graph button, we can graphically visualize all variables, included in our table. If needed, we can represent only selected variables in the graphic representation.
We may choose between a bar chart, pie chart, confidence interval graph or scatter plot. The time series graph is only available when a time variable/dimension is present in a table, for example, a 'year' variable. For this option to become available, 'Time' variables/dimensions have to be identified as such within Nesstar Publisher. A scatterplot is available for regression analyses and will be available instead of the time series icon.
An example of a graphic visualization on Nesstar browser:
In order to test our hypotheses, we need to sometimes adjust our variables. Lets look at an example: usually, the demography section of a study includes a question of a year of birth of the respondent. It is assumed that the year of birth is more easy to remember and more likely to answer correctly then when asked how old are we.
To determine the age of the respondents of a study in time of data collection, we need to calculate a new variable that is YEAR OF DATA COLLECTION – YEAR OF RESPONDENT'S BIRTH. It is advisable to group this variable for future analyses according to theory or other appropriate rules.
Year 2011 – since in a data file the year of birth is a two-digit number, we need to use 111 in our calculations (instead of 2011).
We get the following results:
By using the newely created variable we can prepare a table and a graph.
You can download the data file and the study description from Nesstar browser on the following way:
On the left side of the Nesstar webview select the appropriate study (for example SJM112). Above the main view window, click on the diskette icon (top right corner).
How to cite this page?
Arhiv družboslovnih podatkov. YEAR. 5. Analyze data. Accessed: http://adp.fdv.uni-lj.si/eng/uporabi/kako/analiza/ (DD. month year).
28. January 2020
Konferenca: Znanstvene revije Slovenije in raziskovalni podatki
14. November 2019
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