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What is an index variable?
An index variable can provide you with more concise and accurate reports. For example, an index question is a calculated question based on the answers from 2 or more questions with the same number of answers.
Click here to read more about index variables.
How to create an index variable?
The Index question function can be found on the New Variables/Values. Pressing the Index question tab will take you to Index menu where you need to assign Code, select color and Report text as well as select variables to create Index.
Click here to read more about creating an index variable.
How are index variables calculated with a weight?
Forsta Visualizations calculates index questions with weights in a different way than regular index questions. First a mean value over each question in calculated. Once all questions have a mean, the weight for each question is multiplied with each mean and the sum of these values creates your index.
Click here to learn more about how index variables are calculated with a weight.
What are dynamic filters?
Dynamic filtering is purely based on the data in the project so no relations between filter options need to be predefined. The Dynamic filtering can be applied to the items listed below:
Hierarchical filter
Regular filters
Time period filters
Click here to read more about dynamic filters.
How to add percentiles to the chart? StoryTeller
The setup panel of the Percentiles is located in the Analysis tab in the chart setup window.The percentile calculation uses aggregated results shown in a chart and visualizes those as percentiles, the calculation is not using respondent level data. The number of percentiles shown in the chart, the colors and labels for each percentile are defined during the setup.
Click here to read more about adding percentiles.
How to use the syntax operators?
AND, OR can be used in categorical computes to combine variables or parts of your expression.
NOT can be used in categorical computes to exclude answer alternatives from your expression for answer 1.
LIKE can be used when computing categorical variables to find all respondents with a specific word or sentence in an open ended variable.
(+, -, *, /) can be used to create an open numeric compute in which you make calculations with your open numeric variables.
=, >, < can be used when computing categorical variables to find respondents with values equal, above or below a specified limit in a numeric variable.
COUNTRESPONSE can be used to create a categorized variable or open numeric, but always needs a categorized variable as input in the expression.
IF can be used to create an open numeric together with for example the function COUNTRESPONSE and Mathematical symbols to create a numeric variable based on a categorical variable.
COUNT give your computed numeric variable the number of respondents that have answered one or several answer alternatives in a categorical question.
MEAN use in a computed numeric variable to derive the mean of a categorical variable.
PERCENT use in a computed numeric variable to derive the percentage of one or several answers in a categorical variable.
VALUE this function makes it possible to convert a single choice categorical variable into a numeric variable.
YEAR, MONTH, DAY use when computing a categorical variable together with a date variable to find all respondents from a specific year, month or day.
#CURRENTDATE# can be used when computing categorical variables to replace a fixed date.
Click here to read more about Syntax Operators.
What is data stacking?
Data stacking makes it easier to handle surveys where the same question are present multiple times. As an example a brand tracker which contains 20 statements for 100 brands usually is represented as 2000 variables (20x100) in the data file which makes it complicated to report on. The solution for creating a friendlier data format for easier reporting is to pull out these “looped” variables into a separate stacked data file which results in a, sometimes vastly, reduced number of variables.
Click here to read more about data stacking.
How to create a weight variable (standard target weighting)?
Weight variables are created and maintained in the Weight screen located in the Reporting Objects Tab in the administration section.
Click here to read more about creating weight variables.
How to change the donut/pie chart labels?
The setting to change these labels is located in the Layout tab, in the Series panel in the Position drop-down list. The Legend text can also be shown in the Data label instead of in a separate legend. This option is located in the Legend position drop-down list.
Click here to read more about changing the donut/pie chart labels.
How to add filters to a CrossTab?
In the Time Selection menu, you can limit the data by selecting a specific period. Furthermore, all categorical variables and the hierarchical filters can be used as filters. To apply a filter, simply select the variable by clicking the “Add as filters” button in the panel that appears when you hover over a variable in the list.
Click here to read more about adding filters to a CrossTab.
How to integrate with other platforms?
Integration can be achieved with the following:
Forsta Plus
Forsta Surveys
Alstra Survey Generator
EFS/Questback
Key Ingress
Crowdtech
Nebu
Qualtrics
Survalyzer
Survey Gizmo
Survey Monkey
Voxco
Gavagai
Click here to learn more about how to integrate with each of these platforms.
What is significance testing?
Significance testing can be performed for comparisons of proportions or for comparisons of mean values. Significance (Z test) tests can be used in StoryTeller charts; The test can be performed in both mean values and in proportions. It can also for instance be performed between brands, target groups and time periods.
Click here to learn more about significance testing.
What are weight variables?
A weight variable provides a value (weight) for each respondent in a data set. Response data that have relatively large weights have more influence in the analysis than the data that have smaller weights. As default setting the imported Weight variable is checked and used. In addition to compulsory Weight variable, you can designate some other variables and use them as new/additional weight variables.
Click here to learn more about weight variables.
How to change the thickness of a donut chart?
The setting that enables control of Donut chart thickness is available under chart layout menu.
Click here to learn more about changing the thickness of a donut chart.
What is data recoding?
Data recoding is useful when you already imported data file and you realised there is a last moment change that you need to do, but you don’t want to edit the data file in some external software, or your import runs automatically and you don’t have direct access to your data
Click here to learn more about data recoding.
What is RIM weighting?
R.I.M.weighting logic allows for the application to weight on multiple variables in the data so that after a predefined maximum number of loops (iterations) it matches the target value of all of selected variables.
Click here to learn more about RIM weighting.
How should my data look?
Before you upload a data file, make sure you have formatted it the correct way. The accepted data formats are SPSS, Triple-S, MS Excel, CSV, and Unicom.
Click here to learn more about how your data should look.
How does SSO work?
Single sign-on (SSO) is a session and user authentication service that permits a user to use one set of login credentials (e.g., name and password) to access multiple applications. The service authenticates the end user for all the applications the user has been given rights to and eliminates further prompts when the user switches applications during the same session.
Click here to learn more about SSO.