Please enter your email address with which you are logged in and we will send you a password recovery link.
We will use and store the e-mail address to register on our website for the purpose of using the 1KA username and we will carefully protect it according to the regulations.
To activate your new password, please enter the data provided in e-mail you received.
If you still have problems finding our confirmation e-mail, you can contact us by e-mail email@example.com.
You won't be able to login into this webpage until you confirm your registration through e-mail!
Today, any Internet user can create a web survey by taking advantage of user-friendly, advanced and cost free software such as 1KA. When creating web surveys one can quickly make certain mistakes that have a negative effect on the data quality because creating advanced web questionnaires requires a certain amount of knowledge and experience. In some cases, this can have very unfavourable consequences, such as incorrectly collected data that leads to improper research hypotheses, wrong (business) decisions or inefficient use of considerable resources.
Based on numerous surveys created in 1KA and also on several decades of experience with survey creation (own surveys, advisory, education) it is possible to summarise the most common mistakes when creating a web survey.
A question arises on how to guarantee that recommendations are followed and mistakes are avoided. Some mistakes can be fully detected automatically (A3), some can be detected almost fully automatically (A2), some can be detected automatically in minority (A1) and some can't be detected automatically at all (A0). 1KA tool already enables automatic solving of a big number of cases. Some solutions are still being developed and some are still being tested.
Beside automatic evaluation, additional evaluation is often necessary. When a certain problem is fully detected automatically (A3 - eg. too many sub-questions in a grid), expert evaluation (X0) is not necessary. But automatic detection has its limits and therefore it is often necessary that someone reviews certain aspects of a questionnaire. Basic cases can be solved by paying a little more attention to the questionnaire(X1). This can be achieved by anyone included in evaluation. If that person follows basic recommendations for survey questionnaire creation that makes the whole mistake detecting process significantly better. When dealing with advanced survey issues (X3) it is best to include an experienced expert in the field of questionnaire design (you can also request help by writing to firstname.lastname@example.org).