EDT_standalone | R Documentation |
This function launches a standalone testing session for the EDT This can be used for data collection, either in the laboratory or online.
EDT_standalone(
title = NULL,
num_items = 18L,
with_id = TRUE,
with_feedback = FALSE,
with_welcome = TRUE,
admin_password = "conifer",
researcher_email = "longgoldstudy@gmail.com",
languages = c("en", "de", "de_f", "ru", "nl", "it", "es", "zh_cn"),
dict = EDT::EDT_dict,
validate_id = "auto",
adaptive = TRUE,
take_training = FALSE,
autoplay = TRUE,
...
)
title |
(Scalar character) Title to display during testing. |
num_items |
(Scalar integer) Number of items to be adminstered. |
with_id |
(Scalar boolean) Indicates, if ID should be asked for. Defaults to TRUE |
with_feedback |
(Scalar boolean) Indicates if performance feedback will be given at the end of the test. Defaults to FALSE |
with_welcome |
(Scalar boolean) Indicates, if a welcome page shall be displayed. Defaults to TRUE |
admin_password |
(Scalar character) Password for accessing the admin panel. |
researcher_email |
(Scalar character)
If not |
languages |
(Character vector)
Determines the languages available to participants.
Possible languages include English ( |
dict |
The psychTestR dictionary used for internationalisation. |
validate_id |
(Character scalar or closure) Function for validating IDs or string "auto" for default validation which means ID should consist only of alphanumeric characters. |
adaptive |
(Scalar boolean) Indicates whether you want to use the adaptive EDT2 (TRUE) or the non-adaptive EDT (FASLE). Default is adaptive = TRUE. |
take_training |
(Logical scalar) Whether to include the training phase. Defaults to FALSE |
autoplay |
(Scalar boolean) Indicates whether you want to have autoplay for item pages (instruction pages always not-autoplay) |
... |
Further arguments to be passed to |
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